Special Sessions

All special sessions are open to attendees of all conferences held at CSCE'17.

Please note the extra deadlines for submission of Late Breaking Papers, Position Papers and Abstract/Poster Papers as well as for notification, registration.

The following special sessions are approved so far and will be hosted by DMIN'17:

1) Real-World Data Mining & Data Science Applications, Challenges, and Perspectives

2) Data Science and Data Services

3) Data Mining in Transportation Security

Special Session on Real-World Data Mining & Data Science Applications, Challenges, and Perspectives

Call for Papers

Organizer: Mahmoud Abou-Nasr, Ford Motor Company - Research and Innovation Center, mabounas@ford.com

The past decade has witnessed a vast growth of the amount of data produced and the proliferation of specialized databases in a wide range of business, industrial, medical and scientific applications. Data mining is becoming an increasingly important tool in the process of knowledge discovery and the transformation of data into valuable information. The objective of this special session is to provide a forum for the data mining, data science researchers and industrial practitioners to discuss data mining and data science applications, issues, and the challenges that arise when addressing real-world problems. 

Topics of interest include, but are not limited to:

• Enterprise knowledge management/knowledge discovery

• Corporate planning

• Direct marketing

• Credit scoring

• Forecasting

• Automotive applications

• Medical decision making, diagnostics

• Bioinformatics

• Text and image recognition

Challenges to be addressed include but are not limited to:

• Highly skewed data sets

• Massive and high dimensional data sets

• Non-stationary data

• Unknown misclassification costs

• Missing and noisy data

• Business process issues
   

This special session of DMIN'17 will cover all aspects of data mining and data science applications. The special session will be held during the DMIN'17 conference, July 17-20, in Las Vegas, Nevada, USA. All papers should be submitted using the standard procedures for DMIN papers. For your submission of the draft paper, please select the Track 'RWACP - Special Session (Real-World Data Mining & Data Science Applications, Challenges...)'. 

Any questions should be directed to the special session organizer or to one of the DMIN conference organizers.

Download CfP Special Session on Real-World Data Mining & Data Science Applications, Challenges, and Perspectives (pdf)

Special Session on Data Science

Call for Papers

Organizers: Peter Geczy, Gary M. Weiss, Robert Stahlbock

Exponential expansion of digital data, its diversity and complexity have been presenting numerous challenges to scientists and practitioners. Extensive amounts of data are being generated daily. The scale and growth of data considerably outpace technological capacities of organizations to process and manage it. This trend is expected to continue over the following years―bringing yet unforeseen challenges. Data Science―an emerging interdisciplinary endeavor―attempts to tackle data related challenges. This special session aims to provide a forum for researchers, educators and practitioners to present and discuss their methods, achievements and challenges. The topics of interest include, but are not limited to, the following:

·         Data Science Foundations

·         Data Science Education

·         Data Science Applications

·         Data Services

·         Data Servitization

·         Data Products

·         Data Management

·         Data Engineering

·         Data Integration

·         Data Architectures

·         Data Lifecycle

·         Data Quality

·         Data Complexity

·         Data Manipulation

·         Data Generation

·         Data Acquisition

·         Data Retrieval

·         Data Analytics

·         Data Reduction

·         Data Sampling

·         Data Description and Metadata

·         Data Types and Structures

·         Structured, Semi-structured and Unstructured Data

·         Data Frameworks

·         Static and Dynamic Data

·         Data Dynamics

·         Data Variability

·         Data Velocity

·         Data Flows

·         Data Streaming

·         Data Transfers and Migrations

·         Data Completeness and Partiality

·         Data Pre-processing, Processing and Post-processing

·         Data Mining and Knowledge Extraction

·         Learning form Data

·         Data-driven Discovery

·         Data Visualization and Presentation

·         Data Storage

·         Data Retention

·         Data Preservation and Conservation

·         Data Contamination and Corruption

·         Data Compromization

·         Data Integrity

·         Data Security and Protection

·         Data Encryption

·         Data Obfuscation

·         Data Anonymization

·         Data Noising and De-noising

·         Open Data

·         Linked Data

·         Data Sharing

·         Data Marts and Data Warehouses

·         Data Valuation

·         Data Monetization

·         Data-oriented Business Models

·         Data Policies and Standards

·         Privacy, Legislatives and Regulatory Frameworks

This special session of DMIN'17 will cover all aspects of data science and data services. The special session will be held during the DMIN'17 conference, July 17-20, in Las Vegas, Nevada, USA. All papers should be submitted using the standard procedures for DMIN papers. For your submission of the draft paper, please select the Track 'DS - Special Session on Data Science’.

Selected high quality papers accepted and presented at the conference will be invited for an extended publication in the special issue of the International Journal of Service Science, Management, Engineering and Technology (indexed by JournalTOC, INSPEC, DBLP, Cabell’s, Ulrich's, and others) and an edited book by Springer.

Any questions should be directed to the DMIN'17 Special Session Chair.

Download CfP Special Session on Data Science (pdf)

Workshop/Special Session on
Data Mining in Transportation Security

Organizers: Travis Atkison, Alex Hainen, Bernard Chen

Securing our transportation system and infrastructure is an important task that should not be taken lightly. This workshop looks at how data mining technologies and methods have and can be used to improve all facets of transportation safety and security. The goals of this workshop are to share experiences and demonstrate the data mining solutions that have been developed by both researchers and practitioners, identify research questions, and continue to build the community. The main focus of this workshop is to look at the topics of infrastructure protection and transportation safety and security of both commercial and private vehicles. Though this is the main focus, the workshop is open at all aspects of data mining relating to transportation.

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

• Intelligent transportation systems
• Connected vehicles
• Data analysis models for transportation safety
• Transportation information acquisition methods
• Transportation information processing
• Transportation safety models
• Traffic control
• Transportation planning
• Driving behavior
• Smart transportation
• Forecasting traffic events
• Modeling and simulation of transportation infrastructures
• Other related topics

This workshop/special session of DMIN'17 will be held during the DMIN'17 conference, July 17-20, in Las Vegas, Nevada, USA. All papers should be submitted using the standard procedures for DMIN papers. For your submission of the draft paper, please select the Track 'DMTS - Workshop/Special Session on Data Mining in Transportation Security’.

Any questions should be directed to the organizers T. Atkison, A. Hainen or B. Chen (cc to DMIN'17 Special Session Chair).

Download CfP Workshop on Data Mining in Transportation Security (pdf)