Special Session 1:

The Special Session on Data Marketing as Cross-disciplinary Data Exchange and Collaboration (CDEC2020)

December 10-13, 2020 Atlanta, GA, USA

The recent social movement of big data and artificial intelligence has resulted in a tremendous increase in the importance of data. In view of these expectations, there are the externalizations of interdisciplinary issues. Many papers about data utilization have been published, and several approaches for analyzing data have been shared widely. However, there are only a limited number of studies on the process of cross-disciplinary data exchange and collaboration and its ecosystem. Since this process encompasses various activities of different stakeholders, it is difficult to evaluate the patterns or processes quantitatively. Moreover, in the data market, there are not only big data but also small data necessary for decision making. It is essential to discuss the dynamics of such a network of heterogeneous data in different fields.

To address these gaps, we propose to hold a special session to discuss the processes and interactions among data, humans, and society –Data Marketing as Cross-disciplinary Data Exchange and Collaboration (CDEC). The topics taken up at CDEC will involve practical issues such as the analytical tasks performed using data, solutions for challenging social issues, and cross-disciplinary data collaboration and its process. Our special session will target not only cleanly formatted homogenous data, but also heterogeneous data that affect human behaviors, thoughts, and intentions across different domains. We will also focus on a discussion to obtain tacit knowledge of artificial intelligence and data mining by analysis and synthesis. In addition to these research fields, we will attempt to take a cognitive approach toward observing the processes of knowledge discovery and data exchange. It is expected that conflicts and inconsistencies may arise owing to differences in opinion when stakeholders from different knowledge domains have discussions on data-driven decision making. We believe that this special session focusing on the process of cross-disciplinary data exchange and collaboration will have great significance, not only on academia, but also on the society as a whole.

We call for anyone interested in the following topics related to CDEC.

Data-oriented Application Areas

  • Statistical Graphics and Mathematics
  • Financial Security, and Business
  • Physical Sciences and Engineering
  • Earth, Space, and Environmental Sciences
  • Geographic/Geospatial/ Terrain Data Mining
  • Text, Documents, and Software
  • Social, Ambient, and Information Sciences
  • Multimedia (Image/Video/Music) Mining

Case Studies on Data Exchange and Collaboration

  • Methods for Data Evaluation and Utilization
  • Data Management and Curation
  • Risks, Limitations, and Challenges of Data Exchange
  • Trust, Resilience, Privacy, and Security Issues
  • Design of Data

Empirical and Comprehension Focused Data Utilization

  • Modeling of Machine Learning for Social Data
  • Machine Learning and Data Mining Methods Based on Empirical Knowledge
  • Ontology and Dictionary
  • Business Efficiency
  • Cognition and Perception Issues
  • Natural Language Processing, and Text Mining
  • Retrieval/recommender systems

Data Focused Visualization Research

  • High-Dimensional Data, Dimensionality Reduction, and Data Compression
  • Multidimensional Multi-Field, Multi-Modal, Multi-Resolution, and Multivariate Data
  • Causality and Uncertainty Data
  • Time Series, Time Varying, and Streaming Data
  • Point-Based Data, and Large Scale Data

Data Focused Cognitive Research

  • Human-Computer Interaction, Cognitive Science, and Behavioral Science and Modeling (including quantitative and qualitative results)
  • Theoretical Models, Technological Advances and Experimental Methods in Human-Computer Interaction, Cognitive Science, and Behavioral Science and Modeling

Market of Data

  • Process and Technologies for Data Exchange
  • Representation of Knowledge and Requirements
  • Pricing and Evaluating Mechanism of Data
  • Design of Data Platform
  • Data Acquisition, and Sensors

Organizers
Teruaki Hayashi (PhD, Assistant Professor)
e-mail: hayashi@sys.t.u-tokyo.ac.jp

Yukio Ohsawa (PhD, Professor)
e-mail: ohsawa@sys.t.u-tokyo.ac.jp

Yoshiaki Fukami (PhD, Associate Professor)
e-mail: yofukami@sfc.keio.ac.jp

Fabrice Tocco (co-Founder and co-CEO of Dawex)
e-mail: fabrice.tocco@dawex.com

Shusaku Tsumoto (PhD, Professor)
e-mail: tsumoto@med.shimane-u.ac.jp

Contact
Hayashi Teruaki (Co-chair)
Department of Systems Innovation, School of Engineering, University of Tokyo (7-3-1, Hongo, Bunkyo-ku, Tokyo, JAPAN)
e-mail: hayashi@sys.t.u-tokyo.ac.jp

Special Session 2:

6th Special Session on Intelligent Data Mining

December 10-13, 2020 Atlanta, GA, USA

After the successes of the first, second, third, fourth and fifth editions of Special Session on Intelligent Data Mining in Santa Clara, CA (2015), Washington, DC (2016), Boston, MA (2017), Seattle, WA, (2018), Los Angeles, CA, (2019) and the sixth Special Session on Intelligent Data Mining in Atlanta, GA (2020) 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 5, 2020, 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/bigdata2020).

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 5, 2020 11:59pm PST
Notification of Acceptance : Sept 30, 2020
Camera-ready papers & Pre-registration : Nov 10, 2020, 11:59pm PST
Conference Dates : Dec 10-13, 2020

Special Session 3:

3rd Special Session on HealthCare Data

December 10-13, 2020 Atlanta, GA, 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 the 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 improve quality of care. “To become smarter” requires 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 2020 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
  • 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:
Abstract submission: Sept 11, 2020
Full paper submission: Sept 18, 2020
Notification of paper acceptance: Oct 16, 2020
Camera-ready of accepted papers: Nov 16, 2020
Conference Dates : Dec 10-13, 2020