This book presents six thoroughly reviewed and revised full papers describing selected projects on data mining.
Three papers deal with data mining and e-commerce, focusing on sequence rule analysis, association rule mining and knowledge discovery in databases, and intelligent e-marketing with Web mining. One paper is devoted to experience management and process learning. The last two papers report on medical applications, namely on genomic data processing and on case-based reasoning for prognosis of influenza.
Advances in data mining(数据开采进展：电子商务、医学与知识管理应用)
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This book presents six thoroughly reviewed and revised full papers describing selected projects on data mining. Three papers deal with data mining and e-commerce, focusing on sequence rule analysis, association rule mining and knowledge discovery in databases, and intelligent e-marketing with Web mining. One paper is devoted to experience management and process learning. The last two papers report on medical applications, namely on genomic data processing and on case-based reasoning for prognosis of influenza. 目录 ：
Data Mining and E-commerce
Sequence Rules for Web Clickstream Analysis Data Mining of Association Rules and the Process of Knowledge Intelligent E-marketing with Web Mining, Personalization, and User-Adpated Interfaces Knowledge Management and Data Mining The indiGo Project: Enhancement of Experience Management and Process Learning with Moderated Discourses Medical Applications Genomic Data Explosion-The Challenge for Bioinformatics? Case-Based easoning for Prognosis of threatening Influene Waves Author Index |
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