posted by organizer: Ezzatul || 6879 views || tracked by 8 users: [display]

SCDS 2016 : 2nd International Conference on Soft Computing in Data Science 2016 (SCDS 2016)

FacebookTwitterLinkedInGoogle

Link: http://fskm.uitm.edu.my/scds2016/
 
When Sep 21, 2016 - Sep 22, 2016
Where Kuala Lumpur, Malaysia
Submission Deadline Jul 17, 2016
Notification Due Jul 25, 2016
Final Version Due Aug 12, 2016
Categories    machine learning   big data   computer science   bioinformatics
 

Call For Papers

-----------------------------------------------------------------------------------
CFP : EXTENDED DEADLINE
17 JULY 2016
-----------------------------------------------------------------------------------
We welcome you to participate in The 2nd International Conference on Soft Computing in Data Science (SCDS) 2016 which will be held in Hotel (TBA), Kuala Lumpur, Malaysia from 21-22 September 2016. Data science can improve corporate decision-making and performance, personalize medicine and healthcare services and improve organizations efficiency and performance. Data Science is about learning from your data. Thus, with the advancement in computer technology huge amount of data can be stored and harnessed. Data science and analytics plays an important role in various disciplines including business, medical and health informatics, social sciences, manufacturing, economics, accounting and finance.

SCDS2016 aims to provide a platform for discussions on leading edge methods and also addressing challenges, problems and issues in machine learning in data science and analytics. The role of machine learning in data science and analytics is significantly increasing in every field from engineering to life sciences and with advanced computer algorithms, solutions for complex real problems can be simplified. For the advancement of society in the 21st century, there is a need to transfer knowledge and technology to industrial applications to solve real-world problems. SCDS2016 have invited renowned international and local keynote speakers who are academia or practitioners to share their knowledge and experience in the area of machine learning in data science and analytics.

SCDS2016 aims to attract researchers who are actively engaged both in theoretical and practical aspects of Soft Computing in Data Science. The focus is on Machine Learning for Data Science and Analytics. Authors are invited to contribute to the conference by submitting articles in the following areas, but are not limited to the following topics:

• Decision tree learning
• Association rule learning
• Artificial neural networks
• Support vector machines
• Clustering
• Bayesian models and methods
• Inductive logic programming
• Reinforcement learning
• Representation learning
• Similarity and metric learning
• Sparse dictionary learning
• Feature Learning
• Genetic algorithms
• Visualization and Data Mining
• Fuzzy Logic


Applications include but are not limited to the following areas:

• Financial Analytics
• Bioinformatics
• Business Analytics
• Customer Analytics
• Information Analytics
• Marketing Analytics
• Operations Analytics
• Sentiment analysis (or opinion mining)
• Big Data Computing

-Paper Submission-

SCDS2016 accepts only high-quality papers for its conference proceedings, which are subject to a thorough & objective review process of at least 3 independent reviewers. Authors are invited to submit original unpublished manuscripts that demonstrate current research on one of the SCDS2016 topics of interest. All submissions will be handled electronically; detailed submission instructions will be provided on the conference homepage. The acceptance rate for SCDS2015 was 38%.

Authors are invited to electronically submit original research contributions in English.
• The length of submitted manuscripts should not exceed 15 pages.
• Full papers: Minimum 10 pages and Maximum 15 pages.
• Over-length charges will apply for each extra page beyond 10 pages.

-Publications-

All accepted conference papers will be published in the proceedings with Springer in the Communications in Computer and Information Science series which is abstracted (indexed) by DBLP, EI, Scopus and it is submitted for the inclusion in ISI Proceedings.

-Contact-
Faculty of Computer and Mathematical Sciences
UiTM Shah Alam, Malaysia

Telephone: 603-55435329
E-mail: scds2016@fskm.uitm.edu.my

Related Resources

SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
ACM SAC 2025   40th ACM/SIGAPP Symposium On Applied Computing
BIBC 2024   5th International Conference on Big Data, IOT and Blockchain
SPIE-Ei/Scopus-CMLDS 2025   2025 2nd International Conference on Computing, Machine Learning and Data Science (CMLDS 2025) -EI Compendex & Scopus
Ei/Scopus-ACAI 2024   2024 7th International Conference on Algorithms, Computing and Artificial Intelligence(ACAI 2024)
ICIME 2025   2025 13th International Conference on Information Management and Engineering (ICIME 2025)
IEEE-EI/Scopus-IECA 2025   2025 2nd International Conference on Informatics Education and Computer Technology Applications -IEEE Xplore/EI/Scopus
BDE 2025   2025 7th International Conference on Big Data Engineering (BDE 2025)
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex