Calls for papers

 

International Journal of Intelligent Systems Technologies and Applications

 

Special Issue on: "Advances in Data Mining and Machine Learning"

Guest Editors:
Prof. Tzung-Pei Hong, National University of Kaohsiung, Taiwan
Dr. Bay Vo, Information Technology College, Ho Chi Minh, Vietnam

Over the past few years, research and development in data mining has made great progress. Many successful applications have been reported in journals and conferences. In general, data mining systems typically help businesses to expose previously unknown patterns in their databases. It has now been recognised that mining for information and knowledge from large databases and documents will be the next revolution in database systems. It is considered very important for major cost savings and potential revenue increase with immediate applications in business, decision systems, information management, communication, scientific research and technology development. Since data mining is still a relatively new research field and a great deal of research and applications are still in progress.

Increasingly sophisticated techniques, such as association rules, fuzzy data mining, genetic algorithms applied to data mining, utility mining etc. have been proposed and many of them have already been deployed in many real-world applications. The major goal of this special issue is to bring together the researchers in the data mining field to illustrate its pressing actual needs, demonstrate challenging research issues and exchange the state-of-the-art research and development.

The issue aims to publish the best full papers from the Special Session on Advanced Data Mining Techniques and Applications (ADMTA'12) in 4th International Conference on Computational Collective Intelligence 2012 (ICCCI’12), with a special focus on Data Mining. ADMTA'12 aims to bring together researchers and practitioners in the field of Data Mining from around the world to discuss their studies.

Additionally, the call is also opened to researchers unable to attend the ADMTA’12 to publish high quality, state-of-the-art research.

Subject Coverage
Suitable topics include but are not limited to:

• Classification systems
• Association rules
• Clustering
• Utility mining
• Stream mining
• Temporal mining
• Spatial mining
• Features selection for data mining and machine learning
• Rough sets applied to data mining and machine learning
• Fuzzy sets applied to data mining and machine learning
• Genetic algorithms applied to data mining and machine learning
• Neural networks applied to data mining and machine learning
• Applications of data mining and machine learning
• Soft sets applied to data mining and machine learning

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper was not originally copyrighted and if it has been completely re-written).

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page.

Important Dates

Paper submission: 31 October, 2013

Notification to authors: 31 December, 2013

Final version submission: 30 April, 2014