Special Sessions

All special sessions are open to attendees of all conferences held at WORLDCOMP'16.

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'16:

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

2) Data Science and Data Services

3) eMaintenance and Industrial Big Data

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

Call for Papers (Special Session)

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'16 will cover all aspects of data mining and data science applications. The special session will be held during the DMIN'16 conference, July 25-28, 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 on Real-World Data Mining & Data Science Applications, Challenges, and Perspectives'.

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 and Data Services 

Call for Papers (Special Session)

Organizer: Peter Geczy, Gary M. Weiss, Robert Stahlbock, Mahmoud Abou-Nasr, Chris Bowerman, David Baglee

Exponential expansion of digital data, its diversity and complexity has 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

·         Data Warehouses

·         Data Valuation

·         Data Monetization

·         Data-oriented Business Models

·         Data Policies and Standards

This special session of DMIN’16 will cover all aspects of data science. The special session will be held during the DMIN conference, July 25-28, 2016, in Las Vegas, Nevada, USA. All papers should be submitted using the standard procedures for DMIN papers (see here). For your submission of the draft paper, please select the Track 'DS - Special Session on Data Science and Data Services’.

Journal Publication: 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).

Any questions should be directed to the special session organizers or to one of the DMIN conference organizers via special-session-chair@dmin-2016.com or conference-chair@dmin-2016.com.

Download CfP Special Session on Data Science (pdf)

Special Session on eMaintenance and Industrial Big Data  

Call for Papers (Special Session)

Organizer: Diego Galar

Industrial assets are complex mixes of complex systems, built from components which, over time, may fail. The ability to quickly and efficiently determine the cause of failures and propose optimum maintenance decisions, while minimizing the need for human intervention is necessary. Thus, for complex assets, much information needs to be captured and mined to assess the overall condition of the whole system. Therefore the integration of asset information is required to get an accurate health assessment of the whole system, and determine the probability of a shutdown or slowdown. Moreover, the data collected are not only huge but often dispersed across independent systems that are difficult to access, fuse and mine due to disparate nature and granularity. If the data from these independent systems are combined into a common correlated data source, this new set of information could add value to the individual data sources by the means of data mining. The proposed session is expected to cover the state of the art in the development of Big Data technologies in the fields of Knowledge Discovery algorithms from heterogeneous industrial data sources, scalable data structures, real-time communications and visualizations techniques.

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

• eMaintenance and maintenance 4.0
• Cloud manufacturing and predictive maintenance
• Industrial  taxonomies and ontologies for asset management
• Data mining and big data in O&M
• Data Sanitization (removing company sensitive information before releasing it to e.g. cloud, and how to deal with such data)
• MRO data
• Data Services and servitization of maintenance
• LCC and LCA based on data driven approaches
• Data Quality in AM
• Data Uncertainty Management in AM
• Data Complexity in AM
• Data Manipulation in AM
• Data Acquisition in AM
• Data Analytics in AM
• Value of Data in AM
• Knowledge Discovery in industrial data
• Maintenance decision support systems
• Industrial expert systems
• Virtual manufacturing as KD and DM techniques
• eMaintenance platforms and hardware solutions

This special session of DMIN’16 will cover all aspects of industrial asset data. The special session will be held as part of the DMIN conference, July 25-28, 2016, in Las Vegas, Nevada, USA. All papers should be submitted using the standard procedures for DMIN papers (see here). For your submission of the draft paper, please select the Track 'eMIBD - Special Session on eMaintenance and industrial big data’.

Any questions should be directed to the special session organizer via diego.galar@ltu.se and cc to one of the DMIN conference organizers via special-session-chair@dmin-2016.com or conference-chair@dmin-2016.com.

Download CfP Special Session on eMaintenance and Industrial Big Data (pdf)