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 Discovery, B...
Guardat en:
| Autor principal: | |
|---|---|
| Altres autors: | , , , , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2010. |
| Col·lecció: | Studies in Computational Intelligence
292 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in Knowledge Discovery and Management, Texte imprimé, 9783642263712 • Advances in Knowledge Discovery and Management, Texte imprimé, 9783642005794 • Advances in Knowledge Discovery and Management, Texte imprimé, 9783642168710 • Advances in Knowledge Discovery and Management, Texte imprimé, 9783642263712 • Advances in Knowledge Discovery and Management, Texte imprimé, 9783642005794 • Advances in Knowledge Discovery and Management, Texte imprimé, 9783642168710 |
Taula de continguts:
- 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 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 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 Ontologies and Semantic Alignment-Based Partitioning of Large-Scale Ontologies Learning Ontologies with Deep Class Hierarchies by Mining the Content of Relational Databases Semantic Analysis for the Geospatial Semantic Web Statistically Valid Links and Anti-links BetweenWords and Between Documents: Applying TourneBool Randomization Test to a Reuters Collection.