Pattern Detection and Discovery ESF Exploratory Workshop, London, UK, September 16-19, 2002.
The collation of large electronic databases of scienti?c and commercial infor- tion has led to a dramatic growth of interest in methods for discovering struc- res in such databases. These methods often go under the general name of data mining. One important subdiscipline within data mining is concer...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2002, 2002
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| Edition: | 1st ed. 2002 |
| Series: | Lecture Notes in Artificial Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- General Issues
- Pattern Detection and Discovery
- Detecting Interesting Instances
- Complex Data: Mining Using Patterns
- Determining Hit Rate in Pattern Search
- An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes
- If You Can’t See the Pattern, Is It There?
- Association Rules
- Dataset Filtering Techniques in Constraint-Based Frequent Pattern Mining
- Concise Representations of Association Rules
- Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining
- Relational Association Rules: Getting Warmer
- Text and Web Mining
- Mining Text Data: Special Features and Patterns
- Modelling and Incorporating Background Knowledge in theWeb Mining Process
- Modeling Information in Textual Data Combining Labeled and Unlabeled Data
- Discovery of Frequent Word Sequences in Text
- Applications
- Pattern Detection and Discovery: The Case of Music Data Mining
- Discovery of Core Episodes from Sequences
- Patterns of Dependencies in Dynamic Multivariate Data