Data Mining IV

Illustrating recent advances in data mining problems, encompassing both original research results and practical development experience, this book features the proceedings of the Fourth International Conference of Data Mining, to be held in Rio de Janeiro, Brasil, December 1-3, 2003. Contributions from academia and industry, covering such diverse areas as machine learning, databases, statistics, knowledge acquisitions, data visualization and knowledge-based systems, are included. Data Mining is a promising and relatively new area of current research and development, which can provide important advantages to the user. It can yield substantial knowledge from data primarily gathered for a wide range of quite different applications. Financial institutions have derived considerable benefits from its application and other industries and disciplines are now applying the methodology to increasing effect. The material presented in this book will be of interest to researchers and application developers working in many different areas including statistics, knowledge acquisition, data analysis, IT, data visualization and business and industry.

1.2 Data mining architecture research At the initial stage of data mining process,
most software tools came only with single data mining alogorithm. This kind of
tools requires user master data mining technology and carry out lots of work on ...