Pattern Detection and Discovery: ESF Exploratory Workshop, London, UK, September 16-19, 2002. / Edition 1
by David Hand
This book constitutes the refereed proceedings of an international workshop on Pattern Detection and Discovery organized by the European Science Foundation in London, UK in September 2002. The 17 revised full papers presented were carefully selected and reviewed for inclusion in this state-of-the-art book. Six papers present an introduction and general issues in
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This book constitutes the refereed proceedings of an international workshop on Pattern Detection and Discovery organized by the European Science Foundation in London, UK in September 2002. The 17 revised full papers presented were carefully selected and reviewed for inclusion in this state-of-the-art book. Six papers present an introduction and general issues in the emerging field. Four papers are devoted to association rules. Four papers deal with various aspects of text mining and Web mining, and three papers explore advanced applications.
Product Details
- ISBN-13:
- 9783540441489
- Publisher:
- Springer Berlin Heidelberg
- Publication date:
- 10/03/2002
- Series:
- Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Series, #2447
- Edition description:
- 2002
- Pages:
- 232
- Product dimensions:
- 0.51(w) x 6.14(h) x 9.21(d)
Table of Contents
| Pattern Detection and Discovery | 1 | |
| Detecting Interesting Instances | 13 | |
| Complex Data: Mining Using Patterns | 24 | |
| Determining Hit Rate in Pattern Search | 36 | |
| An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes | 49 | |
| If You Can't See the Pattern, Is It There? | 63 | |
| Dataset Filtering Techniques in Constraint-Based Frequent Pattern Mining | 77 | |
| Concise Representations of Association Rules | 92 | |
| Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining | 110 | |
| Relational Association Rules: Getting WARMeR | 125 | |
| Mining Text Data: Special Features and Patterns | 140 | |
| Modelling and Incorporating Background Knowledge in the Web Mining Process | 154 | |
| Modeling Information in Textual Data Combining Labeled and Unlabeled Data | 170 | |
| Discovery of Frequent Word Sequences in Text | 180 | |
| Pattern Detection and Discovery: The Case of Music Data Mining | 190 | |
| Discovery of Core Episodes from Sequences | 199 | |
| Patterns of Dependencies in Dynamic Multivariate Data | 214 | |
| Author Index | 227 |
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