posted by organizer: damarobe || 8055 views || tracked by 11 users: [display]

IMDA-CASE 2017 : INTELLIGENT METHODS FOR DATA ANALYSIS AND COMPUTER AIDED SOFTWARE ENGINEERING

FacebookTwitterLinkedInGoogle

Link: http://icist.if.ktu.lt
 
When Oct 12, 2017 - Oct 14, 2017
Where Druskininkai, Lithuania
Submission Deadline May 22, 2017
Notification Due Jun 5, 2017
Final Version Due Jun 16, 2017
Categories    software engineering   computer science   big data   intelligent systems
 

Call For Papers

IMDA-CASE 2017 is part of the 23rd International Conference on Information and Software Technologies (ICIST 2017)
http://icist.if.ktu.lt
October 12-14, 2017, Druskininkai, Lithuania

The IMDA-CASE is the 2nd workshop organised in conjunction with ICIST conference series. It pursues to engage researchers and practitioners, specialists and market analysts to share their research experiences and domain knowledge and it‘s Intelligent Methods for Data Analysis and Computer Aided Software Engineering implementation in business information systems. We invite papers which deal with advanced services for the information systems users, propose innovative solutions for development and analysis of artificial intelligent systems, application of intelligent methods to investigation of financial markets, financial risk research, speech recognition as well as enterprise modelling and knowledge based information systems engineering research.

Topics of Interests:
1. Development and Analysis of Artificial Intelligent Systems.
2. Application of Intelligent Methods to Investigation of Financial Markets.
3. Financial Risk Management and Research.
4. Development of Digital Technologies in Phonetics and Voice Recognition.
5. Enterprise Modelling and Knowledge Based Information Systems Engineering Research.
6. Advances in CASE Tools.
7. Knowledge Discovery in Social or Complex Networks.
8. Big Data Analytics.
9. Data, Text, Web or Process Mining Methods.
10. Big Data Quality and Management.
11. Visualization of Business or Big Data Analytics.
12. Economic Issues of Business or Big Data Analytics.
13. Impact, Adoption and Diffusion of Business or Big Data Analytics.
14. Business Analysis for Mobile, Cloud or Multimedia Applications.

Chairs/Organizers:
Prof. Audrius Lopata, Vilnius University, Lithuania
Dr. Maria Dolores Alonso Suarez, SIANI University Institute, Spain

Accepted papers will be published as a volume of Springer- Verlag CCIS. CCIS is indexed in Scopus, Clarivate Analytics Web of Science.
Previous Proceedings:
ICIST 2014: http://www.springer.com/us/book/9783319119571
ICIST 2015: http://www.springer.com/br/book/9783319247694
ICIST 2016: http://www.springer.com/us/book/9783319462530
More information is on:
http://icist.if.ktu.lt/index.php/ICIST/pages/view/InformationforAuthors

CONFERENCE CONTACTS
E-mail: icist@ktu.lt
Web site: http://icist.if.ktu.lt/

Related Resources

DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
ADMIT 2024   2024 3rd International Conference on Algorithms, Data Mining, and Information Technology (ADMIT 2024)
IEEE COINS 2024   IEEE COINS 2024 - London, UK - July 29-31 - Hybrid (In-Person & Virtual)
NLE Special Issue 2024   Natural Language Engineering- Special issue on NLP Approaches for Computational Analysis of Social Media Texts for Online Well-being and Social Order
MLANN 2024   2024 2nd Asia Conference on Machine Learning, Algorithms and Neural Networks (MLANN 2024)
WI-IAT 2024   23rd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology
ACM ICMLT 2024   ACM--2024 9th International Conference on Machine Learning Technologies (ICMLT 2024)
CCBDIOT 2024   2024 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIOT 2024)
FMICS 2024   29th International Conference on Formal Methods for Industrial Critical Systems