Special Session 1:

3rd Special Session on Intelligent Data Mining

Dec.11-14, 2017 Boston, MA, USA

After the successes of the first and the second editions of Special Session on Intelligent Data Mining in Santa Clara, CA (2015), Washington, DC (2016) and the third Special Session on Intelligent Data Mining in Boston, MA will continue promoting and disseminating the knowledge concerning several topics and technologies related to data mining science.

Recent developments in processing, storing, and sharing huge amount of data become problem due to the lack of new approaches, techniques, methods, algorithms and technologies. Researchers try to find proper solutions based on their experiences and make contributions to current data mining and classification knowledge. This approach actually causes new set of problems due to the missing theoretical notions, lack of necessary disciplines and insufficient awareness on data security, information retrieval, social networking within behavioral and social and ethical issues. This interdisciplinary special session seeks scientific understanding on data and intelligent approaches.

Artificial Intelligence (AI) & Machine Learning (ML) fields are interdisciplinary, including computer science, mathematics, psychology, linguistics, philosophy, neuroscience etc. Nowadays, researchers use new interdisciplinary approaches to understand knowledge among all types of resource including data, document, tool, device, experience, process, people etc. Those approaches may help to understand biological evolution to propose robust and powerful schemes between human nature and big data processing.

Intelligent Data Mining is not only related to Computer Science or Engineering. This special session open to every researcher as well as industrial partners,

The aims of this Special Session on Intelligent Data Mining are to:

  • Bring researchers and experts together to discuss and share their experiences,
  • Share the current and new research topics and ideas,
  • Improve and enhance personal, enterprise, national and international awareness,
  • Provide a platform to present and discuss recent advancements,
  • Increase international collaborations among university–industry-institutions,

in the fields of theory and applications of data mining, artificial intelligence, computer science, mathematics, psychology, linguistics, philosophy, neuroscience and other disciplines to discuss better understanding of big data and intelligence.
The papers submitted to this special session might be in a large range of topics that include theory, application and implementation of artificial intelligence, machine learning and data mining including the topics given below,

Use of Artificial Intelligence | Machine Learning in Data Mining as

  • Data Mining, Data Science and Big Data,
  • Data Warehouse, Clustering, Visualization
  • Security, Privacy,
  • Big DaaS
  • Scalable Computing, Cloud Computing,
  • Knowledge Discovery, Integration, Transformation
  • Information Retrieval,
  • Data Classification, Regression, Cleaning,
  • Smart Cities & Energy
  • Social Media, Social Networking, Social Data,
  • Semantic,
  • IoT,
  • Multimedia
  • Mobile Computing
  • Sensors, Networks, Devices
  • Mathematics,
  • Psychology,
  • Linguistics,
  • Philosophy,
  • Neuroscience,
  • Biometric,
  • Sustainability
  • Human Biology,
  • Bioinformatics,
  • Cognitive Science,
  • Surveillance,
  • Business Intelligence,
  • Recent Theory, Trends, Technologies and Applications,
  • Future Directions and Challenges in Intelligent Data Mining ,
  • Industrial Challenges in Intelligent Data Mining ,
  • HPCC,
  • Hadoop,
  • Demo Applications,

Extended versions of all session papers will be published on the International Journal of Data Mining Science

Papers should be submitted for this special session by Sept 22, 2017, at the conference special session submission system (https://wi-lab.com/cyberchair/2017/bigdata17/index.php).

Papers should be submitted as a PDF in 2-column IEEE format. Detailed instructions for the authors can be found at the conference website. Accepted papers will be published in the conference proceedings. All accepted papers must be presented by one of the author/s in the conference to include the article in the proceedings.

If you have any question about this special session, please do not hesitate to direct your question to the special session organizer Dr. Uraz Yavanoglu (urazyavanoglu@gmail.com, uraz.yavanoglu@asu.edu)

Special Session Organizer:
Uraz Yavanoglu, PhD
Department of Computer Engineering
Gazi University, Turkey

The important dates for this special session are:
Full Paper Submission Deadline : Oct 01, 2017 11:59pm PST
Notification of Acceptance : Oct 23, 2017
Camera-ready papers & Pre-registration : Nov 10, 2017, 11:59pm PST
Conference Dates : Dec 11-14, 2017

Special Session 2:

Information Granulation in Data Science and Scalable Computing

Dec 11-14, 2017 Boston, MA, USA


Granular Computing is a general computation approach for effectively using granules such as classes, clusters, sets, groups and intervals to build an efficient computational model for complex applications with huge amounts of data, information and knowledge. Though the label is relatively recent, the notions and principles of Granular Computing and Information Granulation, under different names, have appeared in many related fields, such as information hiding in programming, granularity in artificial intelligence, divide and conquer paradigms in theoretical computer science, interval computing, cluster analysis, fuzzy and rough set systems, neutrosophic computing, quotient spaces, belief functions, approximate analytics, approximate computing, and many others.


Special Session on Information Granulation in Data Science and Scalable Computing will continue to address the issues related to Granular Computing and its applications. It will provide researchers from universities, laboratories and industry with the means to present state-of-the-art research results and methodologies in theory and applications. The session will also make it possible for scientists and developers to highlight their new research directions and new interactions with novel computing models. The session will focus particularly on currently important research tracks such as social network computing, cloud computing, cyber-security, data mining, machine learning, knowledge management, intelligent systems and soft computing (neural networks, fuzzy systems, evolutionary computation, rough sets, self-organizing systems), e-Intelligence (Web intelligence, semantic Web, Web informatics), bioinformatics and medical informatics.


  • The session is organized as a part of the IEEE Big Data 2017 conference (December 11-14, Westin Copey Place, Boston, MA, USA), which is a well-established and highly competitive international event targeted at modern trends in big data processing and analytics.
  • The session is intended to be a forum for discussing concepts, issues, and methods by the leading researchers in the fundamental problems of Information Granulation and Granular Computing in an atmosphere promoting the exchange of ideas and viewpoints.
  • 10-page-long papers accepted to the session will be published in the IEEE Big Data 2017 conference proceedings, together with contributions submitted and accepted to the main conference track.

Submission Deadline: September 22, 2017
Acceptance Notification: October 20, 2017
Camera-Ready: November 10, 2017

Special Session Organizer:
Shusaku Tsumoto
Department of Medical Informatics, Faculty of Medicine
Shimane University, Japan

Tzung-Pei Hong
Department of Computer Science and Information Engineering
National University of Kaohsiung

S. L. Wang
Department of Information Management
National University of Kaohsiung

Domink Slezak
Institute of Computer Science
Warsaw University