Advances in Data Mining: Applications in E-Commerce, Medicine, and Knowledge Management / Edition 1

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More About This Textbook

Overview

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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Product Details

Table of Contents

Sequence Rules for Web Clickstream Analysis 1
Data Mining of Association Rules and the Process of Knowledge Discovery in Databases 15
Intelligent E-marketing with Web Mining, Personalization, and User-Adapted Interfaces 37
The indiGo Project: Enhancement of Experience Management and Process Learning with Moderated Discourses 53
Genomic Data Explosion - The Challenge for Bioinformatics? 80
Case-Based Reasoning for Prognosis of Threatening Influenza Waves 99
Author Index 109
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