Advances in Data Mining: Applications in E-Commerce, Medicine, and Knowledge Management / Edition 1
by Petra Perner
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
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.
Product Details
- ISBN-13:
- 9783540441168
- Publisher:
- Springer Berlin Heidelberg
- Publication date:
- 10/03/2002
- Series:
- Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Series, #2394
- Edition description:
- 2002
- Pages:
- 120
- Product dimensions:
- 0.26(w) x 9.21(h) x 6.14(d)
Table of Contents
Data Mining and E-commerce.- Sequence Rules for Web Clickstream Analysis.- Data Mining of Association Rules and the Process of Knowledge Discovery in Databases.- 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 Reasoning for Prognosis of Threatening Influenza Waves.
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