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DIM 2020 : The Ninth IEEE International Workshop on Data Integration and Mining

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Link: http://rvc.eng.miami.edu/iri_dim20
 
When Aug 11, 2020 - Aug 13, 2020
Where Taking place virtually
Submission Deadline Jun 15, 2020
Notification Due Jun 26, 2020
Final Version Due Jul 3, 2020
Categories    large-scale data integration   big data analytics   recommender systems   metadata integration/manage
 

Call For Papers

The Ninth IEEE International Workshop on Data Integration and Mining (DIM-2020)
in conjunction with IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI-2020)
Taking Place Virtually
August 11 - 13, 2020

The focus of this workshop is associated with data integration and mining requirements and services due to the large-scale generation of social, sensor, mobile, networking, and other types of data stored in various data repositories, such as databases, data warehouses, and Web. However, how to integrate those data resources with different structures or ontologies to enable effective learning and discovery of useful knowledge is still one of the most significant challenges. Moreover, the recent progress on new devices and platforms makes it possible to build new data integration and mining tools/applications for new available data formats and multi-model interaction systems that enable automatic data representation, analysis, and delivery. This also attracts increasing attentions from some specific domains, such as bioinformatics, multimedia, finance, healthcare, marketing, telecommunications and insurance. The aim of this workshop is to
provide a forum for original high-quality research contributions on data integration and mining techniques and applications, as well as multidisciplinary research opportunities.

Topics of interest include, but are not limited to, practical areas that span a variety of aspects of data integration and mining including
• Large-scale data integration, mining and visualization
• Big data analytics and real-time analysis
• Recommender systems
• Metadata integration and management
• Data security and privacy
• Social media data analysis and computing
• Web-scale data mining and semantic discovery
• Network data integration and delivery
• Data filtering and cleaning
• Data integration environments and applications
• Data models, schemas and ontologies
• Database integration systems
• Data management and analysis in specific application domains

SUBMISSIONS
Authors are invited to submit a paper up to 8 pages (in English) in double-column IEEE format following the submission guidelines available at the IRI-2020 web page (http://homepages.uc.edu/~niunn/IRI20/submit_instruction.html). Papers must be original and not submitted to or accepted by any other conference or journal. An electronic version (PDF format) of the full paper should be submitted directly via email to the Workshop Chair (s.sadiq@miami.edu) with the Subject “IEEE DIM Paper Submission”. All submissions will be acknowledged.

Each paper will be peer reviewed by at least three experts in the topical area. Papers accepted by the workshops will be published in the conference proceedings published by IEEE Computer Society Press. Outstanding papers will be selected for extension and publication in the
International Journal of Multimedia Data Engineering and Management (IJMDEM).

IMPORTANT DATES
http://rvc.eng.miami.edu/iri_dim20/important_dates.html

Related Resources

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Recommender Systems 2020   Data Science for Next-Generation Recommender Systems
ICDE 2021   International Conference on Data Engineering
Recommender systems 2020   Scopus/Springer Special issue: Data Science for Next-Generation Recommender Systems with International Journal of Data Science and Analytics
CCBD--Ei & Scopus 2021   2021 The 8th International Conference on Cloud Computing and Big Data (CCBD 2021)--Ei Compendex & Scopus
NeuRec 2020   ICDM Workshop on Recommender Systems 2020
EAIADS 2020   Empowering Artificial Intelligence in Data Science
ORSUM 2020   ORSUM 2020 - 3rd Workshop on Online Recommender Systems and User Modeling @ ACM RecSys 2020
DIM 2020   The Ninth IEEE International Workshop on Data Integration and Mining
DIM 2020   The Ninth IEEE International Workshop on Data Integration and Mining