Successes and new directions in data mining /
"This book addresses existing solutions for data mining, with particular emphasis on potential real-world applications. It captures defining research on topics such as fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence m...
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| Other Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Hershey, Pa. : London :
Information Science ; Eurospan [distributor],
c2008.
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| Subjects: |
Table of Contents:
- Why Fuzzy Set Theory is Useful in Data Mining
- SeqPAM: A Sequence Clustering Algorithm for Web Personalization
- Using mined patterns for XML query answering
- On the Usage of Structural Information in Constrained Semi-Supervised Clustering of XML Documents
- Modeling and Managing Heterogeneous Patterns: the PSYCHO Experience
- Deterministic Motif Mining in Protein Databases
- Data Mining and Knowledge Discovery in Metabolomics
- Handling Local Patterns in Collaborative Structuring
- Pattern Mining and Clustering on Image Databases
- Semantic Integration and Knowledge Discovery for Environmental Research
- Visualizing Multi Dimensional Data
- Privacy Preserving Data Mining, Concepts, Techniques and Evaluation Methodologies
- Mining Data-Streams.