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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
| 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 |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
| Descrizione fisica | 1 online resource (X, 301 p.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data structures (Computer science)
Database management Artificial intelligence Data Structures and Information Theory Database Management Artificial Intelligence |
| ISBN | 3-540-75549-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNISA-996465624803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Knowledge discovery in inductive databases : 5th international workshop, KDID 2006, Berlin, Germany, September 18, 2006 : revised selected and invited papers / / Saso Dzeroski, Jan Struyf (eds.)
| Knowledge discovery in inductive databases : 5th international workshop, KDID 2006, Berlin, Germany, September 18, 2006 : revised selected and invited papers / / Saso Dzeroski, Jan Struyf (eds.) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2007 |
| Descrizione fisica | 1 online resource (X, 301 p.) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
DzeroskiSaso <1968->
StruyfJan |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 3, Information systems and application, incl. internet/web, and HCI |
| Soggetto topico |
Database management
Database searching Data mining |
| ISBN | 3-540-75549-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Altri titoli varianti | KDID 2006 |
| Record Nr. | UNINA-9910484664603321 |
| Berlin ; ; New York, : Springer, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||