IEEE co-sponsored International Conference on Intelligent Data Science Technologies and Applications ()

IDSTA 2020


Data Mining & Analysis Databases & Information Systems



CALL FOR PAPERS:
Huge amount of Data is being generated and transmitted everyday. To be able to deal with this data, extract useful information from it, store it, transmit it, and represent it, intelligent technologies and applications are needed. The International Conference on Intelligent Data Science Technologies and Applications (IDSTA) is a peer reviewed conference that will advance the Data Science field by giving an opportunity for researchers, engineers, and practitioners to present their latest findings in the field. It will also invite key persons in the field to share their current knowledge and their future expectations for the field. Topics of interest for submission include, but are not limited to:
*Business Analytics
*Text Analytics
*Web Analytics
*Data Integrity
*Data Privacy and Security
*Data Warehouse
*Information Integration
*Human Behavior Understanding
*Semi-Structured and Unstructured Data
*Data Fusion
*Pattern Recognition
*Predictive Modelling
*Data Mining
*Statistical and Structural Pattern Recognition
*Performance Analysis and Evaluation
*Evolutionary Computing and Optimization
*Feature Selection
*Fuzzy Computing
*Hybrid Methods
*Neural Networks
*Deep Learning
*Process Mining
*Granular Computing
*Mobile data
*City Data Management
*Transparency in Research Data
*Data and Information Quality
*Data Virtualization
*Management of Sensor Data
*Semantic Web Technologies
*Big Data
Submission Site:
https://easychair.org/conferences/?conf=IDSTA2020
Paper format:
Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings. Please remember to add Keywords to your submission.
Length:
Submitted papers may be 6 to 8 pages. Up to two additional pages may be added for references. The reference pages must only contain references. Overlength papers will be rejected without review.
Publication:
All accepted and registered papers in IDSTA2020 and the workshop co-located with it will be submitted to IEEEXplore for possible publication.