posted by user: msaadsadiq || 1868 views || tracked by 4 users: [display]

DIM 2021 : DIM 2021 : The Tenth IEEE International Workshop on Data Integration and Mining

FacebookTwitterLinkedInGoogle

Link: http://rvc.eng.miami.edu/iri_dim21/index.html
 
When Aug 10, 2021 - Aug 12, 2021
Where Taking place virtually
Abstract Registration Due Apr 15, 2021
Submission Deadline May 17, 2021
Notification Due Jun 1, 2021
Final Version Due Jun 18, 2021
Categories    large-scale data integration   big data analytics   recommender systems   metadata integration/manage
 

Call For Papers

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, data 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-2021 web page (http://homepages.uc.edu/~niunn/IRI21/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_dim21/important_dates.html

Related Resources

SDM 2023   SDM 2023 : SIAM International Conference on Data Mining
DMBDA 2023   2023 6th International Conference on Data Mining and Big Data Analytics (DMBDA 2023)
IEEE BigData 2023   EEE International Conference on Big Data
WISE 2023   24th International Conference on Web Information Systems Engineering (WISE2023)
ICDE 2024   40th IEEE International Conference on Data Engineering
ICKG 2023   IEEE International Conference on Knowledge Graph
MLDM 2024   20th International Conference on Machine Learning and Data Mining
iiWAS 2023   The 25th International Conference on Information Integration and Web Intelligence
ICDM 2024   24th Industrial Conference on Data Mining
IEEE Big Data - MMAI 2023   IEEE Big Data 2023 Workshop on Multimodal AI (Virtually)