Sessions/Tracks

Track 1: Big Data Analytics

Big data analytics examines huge amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze our data and get answers from it almost instantly – an effort that’s slower and less efficient with more traditional intelligence solutions.

Related Data Structures Conferences

Artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA.

Related Societies:

Technische Hochschule Ingolstadt, Germany

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

Track 2: Tools, Techniques and Trends for Big Data Analytics

Data Mining devices and program design projects incorporate Big Data Security and Privacy, Data Mining and Predictive Analytics will be in Machine Learning, Boundary to Database Systems and Software Systems.

Related  Data Structures Conferences

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World BusinessMay 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence, Germany

Track 3: Data Warehousing

In assuming, a data conveyance focus, generally called an attempt data stockroom (EDW), is a structure used for recording and data examination. Data Warehousing are central chronicles of facilitated data from one or more different sources. This data warehousing combines Data Warehouse Architectures, Case contemplates: Data Warehousing Systems, Data warehousing in Business Intellect, Role of Hadoop in Business Intelligence and Data Warehousing, Commercial procedures of Data Warehousing, Computing EDA (Exploratory Data Analysis) Techniques, Machine Learning and Data Mining.

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Related  Data Structures Conferences

Artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 4: Big Data Infrastructure

Big data is definitely one of the biggest tinkle phrases in IT today. Combined with virtualization and cloud computing, big data is a scientific capability that will force data centers to significantly transform and evolve within the next five years. Parallel to virtualization, big data infrastructure is unique and can create an architectural upheaval in the approach systems, storage, and software infrastructure are associated and managed.

Related  Data Structures Conferences

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World BusinessMay 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Related Societies:

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

IEEE Computational Intelligence Society, United States

Action plan on Science in Society related issues in Epidemics and Total pandemics, Europe

Track 5: Big Data Management

The objective of big data organization is to ensure a high level of data quality and accessibility for business intelligence and big data analytics uses. Corporations, government agencies and other organizations employ big data management strategies to help them struggle with fast-growing pools of data, typically involving many terabytes or even petabytes of information saved with different file formats. Effective big data management helps companies locate valuable information in big sets of unstructured data and semi-structured data from a selection of sources, including call detail records, system logs and social media sites.

Related  Data Structures Conferences

Artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Related Societies:

International Educational Data Mining Society, United States

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Track 6: Big Data Security, Privacy and Trust

During latest years, data production rate has been growing exponentially. Many organizations demand efficient solutions to store and analyse these big amount data that are preliminary generated from various sources such as high quantity instruments, sensors or connected devices. For this determination, big data technologies can utilize cloud computing to provide significant benefits, such as the availability of automatic tools to assemble, connect, configure and reconfigure virtualized properties on demand. These make it much easier to meet organizational goals as organizations can easily deploy cloud services.

Related  Data Structures Conferences

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World BusinessMay 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Related Societies:

Technische Hochschule Ingolstadt, Germany

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

Track 7: OLAP Technologies

Online Analytical Processing is an innovation that is utilized to make choice bolster programming. OLAP empowers application clients to rapidly divide data that has been outlined into multidimensional perspectives and chains of importance. Through editing anticipated inquiries into multidimensional perspectives preceding run time, OLAP apparatuses give the benefit of expanded execution over conventional database access devices. The vast majority of the asset serious count that is essential to compress the information is done before an inquiry is submitted.

Related  Data Structures Conferences

Artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence

Track 8: Forecasting from Big Data

Enormous Data is a liberal wonder which is a standout amongst the most every now and again talked about subjects in the present age, and is relied upon to remain so within a reasonable time-frame. Aptitudes, equipment and programming, calculation design, accurate centrality, the sign to commotion proportion and the way of Big Data itself are distinguished as the significant problems which are tarnishing the way toward acquiring important gauges from Big Data.

Related  Data Structures Conferences

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World BusinessMay 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Track 9: Cloud computing

Disseminated computing is a kind of Internet-based figuring that gives shared handling assets and information to PCs and unlike devices on attention. It is a typical for authorizing pervasive, on-interest access to a common pool of configurable process assets which can be quickly provisioned and discharged with insignificant administration exertion. Distributed calculating and volume arrangements supply clients and ventures with different abilities to store and method their info in outsider info trots. It depends on distribution of assets to accomplish rationality and economy of scale, like a utility over a system.

Related  Data Structures Conferences

Artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Related Societies:

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

IEEE Computational Intelligence Society, United States

Action plan on Science in Society related issues in Epidemics and Total pandemics, Europe

Track 10: New Visualization Techniques

Information illustration or information observation is seen by numerous orders as a present likeness visual correspondence. It is not requested by any one field, yet rather discovers translation crosswise over numerous It envelops the arrangement and examination of the visual representation of information, signifying "data that has been dreamy in some schematic arrangement, including attributes or variables for the units of data".

Related  Data Structures Conferences

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World BusinessMay 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Track 11: ETL (Extract,Transform, And Load)

The way toward splitting information from source frameworks and bringing it into the information distribution center is ordinarily called ETL, which ruins for extraction, change, and stacking. Note that ETL eludes to a wide procedure, and not three very much categorized strides. The acronym ETL is maybe excessively short-sighted, on the grounds that it overlooks the passage stage and suggests that each of alternate periods of the procedure is particular. All things considered, the whole procedure is known as ETL.

Related  Data Structures Conferences

Artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence

Track 12: Data Mining Methods and Algorithms

Info mining frameworks and counts an interdisciplinary subfield of programming building is the computational system of discovering case in marvellous data sets including strategies like Big Data Search and Mining, Novel Theoretical Models for Big Data, High implementation data mining figuring’s, Methodologies on far reaching scale data mining, Methodologies on broad gauge data mining, Big Data and Analytics.

Related  Data Structures Conferences

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World BusinessMay 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Related Societies:

International Educational Data Mining Society, United States

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Track 13: Clustering

Clustering can be viewed as the most vital unsupervised learning issue; along these lines, as each other issue of this kind, it manages meaning a structure in a gathering of unlabelled information. A free meaning of bunching could be the way toward sorting out items into assemblies whose individuals are comparable somehow.

Related  Data Structures Conferences

Artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Related Societies:

Technische Hochschule Ingolstadt, Germany

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

About Conference

Conference series LLC cordially invites all participants across the globe to attend the 3rd International Conference on Data Structures and Data Mining (Data Mining 2017) which is going to be held during August  17-18 in Toronto, Canada to share the Future Technologies for Knowledge Discoveries in Data" and technology. The main theme of the conference is “Advance Technologies for Creative Inventions in Data Structures". This conference aimed to expand its coverage in the areas of Big Data and Data Mining where expert talks, young researcher’s presentations will be placed in every session of the meeting will be inspired and keep up your enthusiasm. We feel our expert Organizing Committee is our major asset, however your presence over the venue will add one more feather to the crown of Data Structure and Data Mining 2017.

Data Structures  and Data Mining 2017, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data Structures and Data Mining 2017  is comprised of the following sessions with 13 tracks and 89 sub sessions designed to offer comprehensive sessions that address current issues of Data Structures and Data Mining. Data mining tools predict future trends and behaviours, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Datamining tools can answer business questions that traditionally were too time-consuming to resolve.

Target audience for the conference:

• Data Base engineers
• Scientists/Researchers
• Professors
• President/Vice president
• Chairs/Directors
• Data Scientists
• Students
• Experts and Delegates

Past Conference Report

Data Mining 2016

We gratefully thank all our wonderful Speakers, Conference Attendees, Students, Media Partners, Associations and Sponsors for making Data Mining 2016 Conference the best ever!

The 3^rd International conference on Big Data Analysis and Data Mining, hosted by the Conferenceseries LLC was held during September 26-27, 2016 at London, UK based on the theme “Future Technologies for Knowledge Discoveries in Data ". Benevolent response and active participation was received from the Organizing Committee Members along with Scientists, Researchers, Students and leaders from various fields of Big Data, Data Mining, who made this event a grand success.

Conferenceseries LLC expresses its gratitude to the conference Moderator, namely Burcin Ozturk Demirhanozand Dr. Robert S Laramee for taking up the responsibility to coordinate during the sessions. We are indebted to your support.

Similarly we also extend our appreciation towards our Poster judges namely, Dr. Thomas  Sterling.

The conference was initiated with the Honorable presence of the Keynote forum. The list includes:

• Thomas  Sterling, Indiana University, USA
• Fionn Murtagh, University of Derby, UK
• Carlo Trugenberger, InfoCodex AG-Semantic Technologies, Switzerland
• Mikhail Moshkov, King Abdullah University of Science and Technology, Saudi Arabia
• Robert S Laramee, Swansea University, UK

The meeting reflected various sessions, in which discussions were held on the following major scientific tracks:

• Data Mining Methods and Algorithms
• Data Mining Tasks and Processes
• Data Mining Applications in Science, Engineering, Healthcare and Medicine
• Big Data Applications
• Data Mining Tools and Software
• Data Warehousing
• Artificial Intelligence
• Cloud computing
• Forecasting from Big Data
• Complexity and algorithms
• Open data
• OLAP technologies
• Big Data algorithm
• ETL (Extract, Transform and Load)
• New visualization techniques
• Optimization and Big Data
• Social network analysis
• Search and data mining
• Data Mining analysis
• kernel methods
• Frequent pattern mining
• Clustering
• Data privacy and ethics
• Big data technologies
• Business analytics

 Conference Series LLC offers its heartfelt appreciation to organizations such as Allied Academies, Andrew John Publishing Inc., New York private Equity Forum, Crowd Reviews and other eminent personalities who supported the conference by promoting in various modes online and offline which helped the conference reach every nook and corner of the globe. Conference Series LLC also took privilege to felicitate the Keynote Speakers, Organizing Committee Members, Chairs and sponsors who supported this event

With the grand success of Data Mining 2016, Conference Series LLC is proud to announce the "4th International Conference on Big Data Analysis and Data mining" to be held during August 02-03, 2017 at Milan, Italy.

For More details visit: http://datamining.conferenceseries.com/2016