Computer and Information Science » Numerical Analysis and Scientific Computing

New Fundamental Technologies in Data Mining

Edited by Kimito Funatsu, ISBN 978-953-307-547-1, 596 pages, Publisher: InTech, Chapters published January 21, 2011 under CC BY-NC-SA 3.0 license
DOI: 10.5772/563

The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by "Data Mining" address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining.

Prof. Kimito Funatsu

Prof. Kimito Funatsu was born on December 3, 1955 in Japan. He received his Doctor degree (Dr. Sci.; physical organic chemistry) from Kyushu University which is one of the oldest imperial universities (1983) and joined Prof. Shin-ichi Sasaki’s group, Toyohashi University of Technology (1984) as research-associate. During researching in Prof. Sasaki’s group he worked on chemoinformatics field, i.e., Structure elucidation system CHEMICS, organic synthesis design system AIPHOS, molecular design. In 1990 he took the post of associate-professor. In 2004 he moved to The University of Tokyo as full Professor to continue the same research work. Recently he is trying material design and soft sensor. He is a chair of division of chemical information and computer sciences, Chemical Society of Japan.

Edited Books

  • New Fundamental Technologies in Data Mining

    The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by "Data Mining" address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining.

  • Knowledge-Oriented Applications in Data Mining

    The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by 'Data Mining' address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining.

Publications