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
- Data Mining
- 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 Guidelines:
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.
Blinding
Paper submissions must conform with the “double-blind” review policy. This means that the authors should not know the names of the reviewers of their papers, and reviewers should not know the names of the authors. Please prepare your paper in a way that preserves anonymity of the authors.
- Do not put the author names under the title.
- Avoid using phrases such as “our previous work” when referring to earlier publications by the authors.
- Remove information that may identify the authors in the acknowledgments (e.g., co-workers and grant IDs).
- Check supplemental material (e.g., titles in the video clips, or supplementary documents) for information that may identify the authors’ identities.
- Avoid providing links to websites that identify the authors.
- Papers without appropriate blinding will be rejected without review.
Originality
Papers submitted to IDSTA must be the original work of the authors. The may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to IDSTA. Authors should be aware that IEEE has a strict policy with regard to plagiarism https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html The authors' prior work must be cited appropriately.
Author list
Please ensure that you submit your papers with the full and final list of authors in the correct order. The author list registered for each submission is not allowed to be changed in any way after the paper submission deadline.
Proofreading:
Please proofread your submission carefully. It is essential that the language use in the paper is clear and correct so that it is easily understandable. (Either US English or UK English spelling conventions are acceptable.)
Publication:
All accepted papers in IDSTA2020 and the workshop colocated with it will be submitted to IEEEXplore for possible publication.