Knowledge Discovery in Inductive Databases [[electronic resource] ] : 5th International Workshop, KDID 2006 Berlin, Germany, September 18th, 2006 Revised Selected and Invited Papers / / edited by Saso Dzeroski, Jan Struyf
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| Titolo: |
Knowledge Discovery in Inductive Databases [[electronic resource] ] : 5th International Workshop, KDID 2006 Berlin, Germany, September 18th, 2006 Revised Selected and Invited Papers / / edited by Saso Dzeroski, Jan Struyf
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| Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
| Edizione: | 1st ed. 2007. |
| Descrizione fisica: | 1 online resource (X, 301 p.) |
| Disciplina: | 005.74 |
| Soggetto topico: | Data structures (Computer science) |
| Database management | |
| Artificial intelligence | |
| Data Structures and Information Theory | |
| Database Management | |
| Artificial Intelligence | |
| Persona (resp. second.): | DzeroskiSaso |
| StruyfJan | |
| Note generali: | Bibliographic Level Mode of Issuance: Monograph |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Invited Talk -- Value, Cost, and Sharing: Open Issues in Constrained Clustering -- Contributed Papers -- Mining Bi-sets in Numerical Data -- Extending the Soft Constraint Based Mining Paradigm -- On Interactive Pattern Mining from Relational Databases -- Analysis of Time Series Data with Predictive Clustering Trees -- Integrating Decision Tree Learning into Inductive Databases -- Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed Itemsets -- An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results -- Beam Search Induction and Similarity Constraints for Predictive Clustering Trees -- Frequent Pattern Mining and Knowledge Indexing Based on Zero-Suppressed BDDs -- Extracting Trees of Quantitative Serial Episodes -- IQL: A Proposal for an Inductive Query Language -- Mining Correct Properties in Incomplete Databases -- Efficient Mining Under Rich Constraints Derived from Various Datasets -- Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-Growth -- Discussion Paper -- Towards a General Framework for Data Mining. |
| Titolo autorizzato: | Knowledge Discovery in Inductive Databases |
| ISBN: | 3-540-75549-7 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996465624803316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |
Serie:
Information Systems and Applications, incl. Internet/Web, and HCI ; ; 4747