posted by organizer: damarobe || 4746 views || tracked by 12 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

ADAH 2017   Advanced Data Analytics in Health
ACML 2017   The 9th Asian Conference on Machine Learning
OpenSuCo @ ISC HPC 2017   2017 International Workshop on Open Source Supercomputing
WWW 2018   World Wide Web (The Web Conference)
ICCBDC - ACM 2017   International Conference on Cloud and Big Data Computing (ICCBDC 2017)--Ei Compendex and Scopus
IUI 2017   Intelligent User Interfaces
MIWAI 2017   The 11th Multi-disciplinary International Workshop on Artificial Intelligence
IET ITS SI 2017   IET Intelligent Transport Systems, Special Issue on Big Traffic Data Analysis and Mining
IEEE Big Data 2017   2017 IEEE International Conference on Big Data
ASPMMI 2017   IEEE Access: Special Issue on Advanced Signal Processing Methods in Medical Imaging