| Advances in Data Mining: Applications in E-Commerce, Medicine, and Knowledge Management 2002 Edition Contributor(s): Perner, Petra (Editor) |
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ISBN: 3540441166 ISBN-13: 9783540441168 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: August 2002 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Information Technology - Computers | Databases - Data Mining - Computers | Image Processing |
| Dewey: 006.3 |
| LCCN: 2002030221 |
| Series: Lecture Notes in Computer Science |
| Physical Information: 0.29" H x 6.32" W x 9.42" (0.42 lbs) 112 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book presents papers describing selected projects on the topic of data mining in fields like e commerce, medicine, and knowledge management. The objective is to report on current results and at the same time to give a review on the present activities in this field in Germany. An effort has been made to include the latest scientific results, as well as lead the reader to the various fields of activity and the problems related to them. Knowledge discovery on the basis of web data is a wide and fast growing area. E commerce is the principal theme of motivation in this field, as companies invest large sums in the electronic market, in order to maximize their profits and minimize their risks. Other applications are telelearning, teleteaching, service support, and citizen information systems. Concerning these applications, there is a great need to understand and support the user by means of recommendation systems, adaptive information systems, as well as by personalization. In this respect Giudici and Blanc present in their paper procedures for the generation of associative models from the tracking behavior of the user. Perner and Fiss present in their paper a strategy for intelligent e marketing with web mining and personalization. Methods and procedures for the generation of associative rules are presented in the paper by Hipp, G ntzer, and Nakhaeidizadeh. |