Advances in knowledge discovery and management
During the last decade, the French-speaking scientific community developed a very strong research activity in the field of Knowledge Discovery and Management (KDM or EGC for "Extraction et Gestion des Connaissances" in French), which is concerned with, among others, Data Mining, Knowledge...
| Other Authors: | Guillet, Fabrice., SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin :
Springer,
2010.
Berlin : 2010. |
| Physical Description: |
1 online resource (xii, 336 pages) : many figure (some color), table. |
| Series: |
Studies in computational intelligence ;
v. 292. |
| Subjects: |
Table of Contents:
- Part 1: Supervised learning and information retrieval. Discrepancy analysis of complex objects using dissimilarities
- A Bayes evaluation criterion for decision trees
- Classifying very-high-dimensional data with random forests of oblique decision trees
- Intensive use of correspondence analysis for large scale content-based image retrieval
- Toward a better integration of spatial relations in learning with graphical models. Part 2: Unsupervised learning. Multigranular manipulations for OLAP querying
- A new approach for unsupervised classification in image segmentation
- Cluster-dependent feature selection through a weighted learning paradigm
- Two variants of the OKM for overlapping clustering
- A stable decomposition algorithm for dynamic social network analysis. Part 3: Security and data streaming. An hybrid data stream summarizing approach by sampling and clustering
- SPAMS: a novel incremental approach for sequential pattern mining in data streams
- Mining common outliers for intrusion detection
- Intrusion detections in collaborative organizations by preserving privacy. Part 4: Ontologies and Semantic [i.e. semantics]. Alignment-based partitioning of large-scale ontologies
- Learning ontologies with deep lass hierarchies by mining the content of relational databases
- Semantic analysis for the geospatial semantic web
- Statistically valid links and anti-links between words and between documents: applying TourneBool randomization.