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数据开采进展:电子商务、医学与知识管理应用 Advances in data mining PDF下载

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内容简介

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.

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数据开采进展:电子商务、医学与知识管理应用 Advances in data mining PDF下载

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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