Special Session 1:

4th Special Session on Intelligent Data Mining

December 10-13, 2018 Seattle, WA, USA

After the successes of the first, second and the third editions of Special Session on Intelligent Data Mining in Santa Clara, CA (2015), Washington, DC (2016), Boston, MA (2017) and the fourth Special Session on Intelligent Data Mining in Seattle, WA, (2018) will continue promoting and disseminating the knowledge concerning several topics and technologies related to data mining science.

Artificial Intelligence (AI) & Machine Learning (ML) fields are interdisciplinary, including computer science, mathematics, psychology, linguistics, philosophy, neuroscience etc. This interdisciplinary special session seeks scientific understanding on data and intelligence.

This session may help to create scientific evolution to propose robust and powerful schemes between human nature and big data processing.

Intelligent Data Mining 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 but not limited to 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
  • Big Data and Services
  • Graph Mining
  • Data Security and Privacy
  • Homeland Security and Data Analysis
  • Coin Mining and GPU Applications
  • Deep Learning
  • Scalable Computing, Cloud Computing
  • Knowledge Discovery, Integration, Transformation
  • Information Retrieval
  • Data Classification, Regression, Cleaning
  • Smart Cities & Energy
  • Social Media, Social Networking, Social Data
  • Semantic Computing
  • IoT, Autonomous Systems and Agents
  • Algorithms
  • Mobile Computing
  • Sensors, Networks, Devices
  • Mathematics
  • NLP
  • Philosophy
  • Neuroscience and Bioinformatics
  • Biometric
  • Sustainability
  • HPCC and Hadoop
  • Recent Theory, Trends, Technologies and Applications
  • Future Directions and Challenges in Intelligent Data Mining
  • Industrial Challenges in Intelligent Data Mining
  • 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 12, 2018, at the conference special session submission system (https://wi-lab.com/cyberchair/2018/bigdata18/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 (http://cci.drexel.edu/bigdata/bigdata2018).

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

Special Session Organizer:
Asst. Prof. Dr. Uraz Yavanoglu
Department of Computer Engineering
Vice-Chairman
Gazi University, Turkey
www.druraz.com

The important dates for this special session are:
Full Paper Submission Deadline : Sept 12, 2018 11:59pm PST
Notification of Acceptance : Oct 5, 2018
Camera-ready papers & Pre-registration : Nov 10, 2018, 11:59pm PST
Conference Dates : Dec 10-13, 2018

Special Session 2:

1th Special Session on Big Data and Electronics

December 10-13, 2018 Seattle, WA, USA

1th Special Session on Big Data and Power Electronics in Seattle, WA, (2018) will promote and disseminate the knowledge concerning several topics and technologies related to data mining science and electronics.

Electronics plays a vital role in enabling smart grid through advanced bi-directional power management, numerous electronics applications proliferate everywhere. It deals with the control of electrical energy, modern energy processing systems, the renewable energy and electric utility applications such as HVDC, SVC, flexible ac transmission system (FACTS), uninterruptible power supply (UPS), switching mode, variable-frequency drives,..etc. Those applications generate huge, diverse, and complex of information. Utilize big data processing technology in electronics applications will help to improve power quality, the reliability of the power electronics systems.

This session may help to create scientific evolution to propose robust and powerful schemes between electronics applications and big data processing.

Special Session on Big Data and Electronics session open to every researcher as well as industrial partners,

The aims of this Special Session on Special Session on Big Data and Electronics 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,

Topics of interest include, but are not limited to:

Big Data and Data Mining in

  • Electrical Engineering
  • Electronics Engineering
  • Power electronics
  • Machines
  • Smart Grids
  • Novel Energy Conversion
  • Power Devices
  • Control Techniques
  • Grid Interactive Systems
  • Performance Analysis
  • Hybrid Systems
  • Renewable Energy
  • Electrical Vehicles and Components
  • Energy Savings for Vehicular Technology and Electric Machinery
  • Public Awareness and Education
  • Reliability and Maintenance
  • Sustainability
  • Energy Storage
  • Power Generation, Transmission and Distribution
  • Power Generation, Transmission and Distribution
  • Semiconductor and Converters
  • Manufacturing processes
  • Safety and Security
  • Economic models, price management and domestic energy market interactions
  • Power line communications
  • Recent Theory, Trends, Technologies and Applications
  • Future Directions and Challenges in Big Data and Electronics
  • Industrial Challenges in Big Data and Electronics
  • 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 12, 2018, at the conference special session submission system.

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 (http://cci.drexel.edu/bigdata/bigdata2018).

If you have any question about this special session, please do not hesitate to direct your question to the special session organizers Dr. Shady Khalil (shady.khalil@qatar.tamu.edu), Asst. Prof. Dr. Uraz Yavanoglu (urazyavanoglu@gmail.com).

Special Session Organizer:
Dr. Shady Khalil
Big Data Researcher
Texas A&M University at Qatar, Qatar
shady.khalil@qatar.tamu.edu

Asst. Prof. Dr. Uraz Yavanoglu
Department of Computer Engineering
Vice-Chairman
Gazi University, Turkey
www.druraz.com

The important dates for this special session are:
Full Paper Submission Deadline : Sept 12, 2018 11:59pm PST
Notification of Acceptance : Oct 5, 2018
Camera-ready papers & Pre-registration : Nov 10, 2018, 11:59pm PST
Conference Dates : Dec 10-13, 2018

Special Session 3:

1th Special Session on HealthCare Data

December 10-13, 2018 Seattle, WA, USA

Health data differs from other industries' data in terms of structure, context, importance, volatility, availability, traceability, liquidity, change speed, usage and sources from which it is collected. As medicine is a constantly developing science healthcare sector also. In this new emerging research area which stands at the intersection of several different discipline such as Medicine, Behavioral Science, Supply Chain Management or Big Data Analytics, techniques, methods, applications and devices are continuously developed to be used for the acquisition, storage, processing, analysis, standardization and optimization of every process in the health sector. As healthcare sector is so challenging and related data are consistently explosive, healthcare organizations are focusing to become smarter in order to overcome the industry’s inefficiencies to improving quality of care. “To become smarter” requires an impeccable data analytics. All stakeholders in the sector should reveal the deep value of this valuable data in order to apply insights to improve quality of care, clinical 
 outcomes and deliver personalized healthcare value, 
 while reducing medical costs, collaborate across care settings to deliver integrated, 
 personalized care experiences, prevent disease, 
 promote wellness and manage care, build flexibility into operations to support cost 
 reduction and excellence in clinical and business 
 performance and practices 


The general purpose of this special session in IEEE BigData 2018 conference is to bring together researchers, academicians and sector employees from different fields and disciplines and provide them an independent platform to exchange information on their researches, ideas and findings about healthcare data and its analytics. It is also aimed to encourage debate on how big data can effectively support the healthcare in terms of diagnosis, treatment and population health, and to develop a common understanding for research conducted in this multidisciplinary field.

Topics of interest include, but are not limited to, the following:

Healthcare Data

  • Health data collection and analysis
  • Problems in health data processing
  • Protection and security of personal health data
  • Electronic health records and standards

Healthcare Information Systems

  • Medical Imaging Systems
  • Medical Applications
  • Mobile Solutions

Pervasive Healthcare Information Systems and Services

  • Sensor nodes
  • Wearable health information
  • Information solutions developed for the disabled

Process Management in Health Informatics Systems


Health Decision Support Systems


E-health Applications

  • E-health solutions in Turkey
  • Public health information application

Special Session Organizer:
Dr. Sultan Turhan
Department of Computer Engineering, Galatasaray University
sturhan@gsu.edu.tr

Dr. Ozgun Pinarer
Department of Computer Engineering, Galatasaray University
opinarer@gsu.edu.tr

The important dates for this special session are:
Electronic submission of full papers: Sept 28, 2018
Notification of paper acceptance: Oct 9, 2018
Camera-ready of accepted papers: Nov 10, 2018
Conference Dates : Dec 10-13, 2018

Special Session 4:

Information Granulation in Data Science and Scalable Computing

December 10-13, 2018 Seattle, WA, USA

BACKGROUND:
Granular Computing is a general computation approach for effectively using granules such as classes, clusters, sets, groups, intervals and networks 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, deep neural networks and many others. Thus, "Information granule = Fundamental of Human Knowledge": As a meta-mathematical methodology, granular computing gives a theoretical framework of big data analytics.

SESSION SCOPE:
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.

HIGHLIGHTS:
-- The session is organized as a part of the IEEE Big Data 2018 conference (December 10-13, Westin Seattle, Seattle, WA, 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.
-- Papers accepted to the session will be published in the IEEE Big Data 2018 conference proceedings, together with papers submitted and accepted to the main conference track.
-- Organizers are planning a special issue on mathematical framework of big data analytics in some journal.

IMPORTANT DEADLINES:
-- Submission Deadline: September 22, 2018
-- Acceptance Notification: October 20, 2018
-- Camera-Ready: November 10, 2018

Special Session Organizer:
Shusaku Tsumoto
Department of Medical Informatics, Faculty of Medicine,
Shimane University, Japan
tsumoto@med.shimane-u.ac.jp

Dominik Slezak
Institute of Informatics,
University of Warsaw
slezak@mimuw.edu.pl

Tzung-Pei Hong
Department of Computer Science and Information Engineering
National University of Kaohsiung
tphong@nuk.edu.tw

S. L. Wang
Department of Information Management,
National University of Kaohsiung
slwang@nuk.edu.tw