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Research and development in knowledge discovery and data mining : second Pacific-Asia conference, PAKDD-8, Melbourne, Australia, April 15-17, 1998, proceedings / / Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb, editors
| Research and development in knowledge discovery and data mining : second Pacific-Asia conference, PAKDD-8, Melbourne, Australia, April 15-17, 1998, proceedings / / Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb, editors |
| Edizione | [1st ed. 1998.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer, , [1998] |
| Descrizione fisica | 1 online resource (XVIII, 434 p.) |
| Disciplina | 005.7565 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Database management
Database searching Data mining |
| ISBN | 3-540-69768-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge acquisition for goal prediction in a multi-user adventure game -- Hybrid data mining systems: The next generation -- Discovering case knowledge using data mining -- Discovery of association rules over ordinal data: A new and faster algorithm and its application to basket analysis -- Effect of data skewness in parallel mining of association rules -- Trend directed learning: A case study -- Interestingness of discovered association rules in terms of neighborhood-based unexpectedness -- Point estimation using the Kullback-Leibler loss function and MML -- Single factor analysis in MML mixture modelling -- Discovering associations in spatial data — An efficient medoid based approach -- Data mining using dynamically constructed recurrent fuzzy neural networks -- CCAIIA: Clustering categorical attributes into interesting association rules -- Selective materialization: An efficient method for spatial data cube construction -- Mining market basket data using share measures and characterized itemsets -- Automatic visualization method for visual data mining -- Rough-set inspired approach to knowledge discovery in business databases -- Representative association rules -- Identifying relevant databases for multidatabase mining -- Minimum message length segmentation -- Bayesian classification trees with overlapping leaves applied to credit-scoring -- Contextual text representation for unsupervised knowledge discovery in texts -- Treatment of missing values for association rules -- Mining regression rules and regression trees -- Mining algorithms for sequential patterns in parallel : Hash based approach -- Wavelet transform in similarity paradigm -- Improved rule discovery performance on uncertainty -- Feature mining and mapping of collinear data -- Knowledge discovery in discretionary legal domains -- Scaling up the rule generation of C4.5 -- Data mining based on the generalization distribution table and rough sets -- Constructing personalized information agents -- Towards real time discovery from distributed information sources -- Constructing conceptual scales in formal concept analysis -- The hunter and the hunted — Modelling the relationship between web pages and search engines -- An efficient global discretization method -- Learning user preferences on the WEB -- Using rough sets for knowledge discovery in the development of a decision support system for issuing smog alerts -- Empirical results on data dimensionality reduction using the divided self-organizing map -- Mining association rules with linguistic cloud models -- A data mining approach for query refinement -- CFMD: A conflict-free multivariate discretization algorithm -- Characteristic rule induction algorithm for data mining -- Data-mining massive time series astronomical data sets — A case study -- Multiple databases, partial reasoning, and knowledge discovery -- Design recovery with data mining techniques -- The CLARET algorithm -- LRTree: A hybrid technique for classifying myocardial infarction data containing unknown attribute values -- Modelling decision tables from data -- A classification and relationship extraction scheme for relational databases based on fuzzy logic -- Mining association rules for estimation and prediction -- Rule generalization by condition combination. |
| Record Nr. | UNINA-9910144913503321 |
| Berlin, Heidelberg : , : Springer, , [1998] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Research and development in knowledge discovery and data mining : second Pacific-Asia conference, PAKDD-8, Melbourne, Australia, April 15-17, 1998, proceedings / / Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb, editors
| Research and development in knowledge discovery and data mining : second Pacific-Asia conference, PAKDD-8, Melbourne, Australia, April 15-17, 1998, proceedings / / Xindong Wu, Ramamohanarao Kotagiri, Kevin B. Korb, editors |
| Edizione | [1st ed. 1998.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer, , [1998] |
| Descrizione fisica | 1 online resource (XVIII, 434 p.) |
| Disciplina | 005.7565 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Database management
Database searching Data mining |
| ISBN | 3-540-69768-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge acquisition for goal prediction in a multi-user adventure game -- Hybrid data mining systems: The next generation -- Discovering case knowledge using data mining -- Discovery of association rules over ordinal data: A new and faster algorithm and its application to basket analysis -- Effect of data skewness in parallel mining of association rules -- Trend directed learning: A case study -- Interestingness of discovered association rules in terms of neighborhood-based unexpectedness -- Point estimation using the Kullback-Leibler loss function and MML -- Single factor analysis in MML mixture modelling -- Discovering associations in spatial data — An efficient medoid based approach -- Data mining using dynamically constructed recurrent fuzzy neural networks -- CCAIIA: Clustering categorical attributes into interesting association rules -- Selective materialization: An efficient method for spatial data cube construction -- Mining market basket data using share measures and characterized itemsets -- Automatic visualization method for visual data mining -- Rough-set inspired approach to knowledge discovery in business databases -- Representative association rules -- Identifying relevant databases for multidatabase mining -- Minimum message length segmentation -- Bayesian classification trees with overlapping leaves applied to credit-scoring -- Contextual text representation for unsupervised knowledge discovery in texts -- Treatment of missing values for association rules -- Mining regression rules and regression trees -- Mining algorithms for sequential patterns in parallel : Hash based approach -- Wavelet transform in similarity paradigm -- Improved rule discovery performance on uncertainty -- Feature mining and mapping of collinear data -- Knowledge discovery in discretionary legal domains -- Scaling up the rule generation of C4.5 -- Data mining based on the generalization distribution table and rough sets -- Constructing personalized information agents -- Towards real time discovery from distributed information sources -- Constructing conceptual scales in formal concept analysis -- The hunter and the hunted — Modelling the relationship between web pages and search engines -- An efficient global discretization method -- Learning user preferences on the WEB -- Using rough sets for knowledge discovery in the development of a decision support system for issuing smog alerts -- Empirical results on data dimensionality reduction using the divided self-organizing map -- Mining association rules with linguistic cloud models -- A data mining approach for query refinement -- CFMD: A conflict-free multivariate discretization algorithm -- Characteristic rule induction algorithm for data mining -- Data-mining massive time series astronomical data sets — A case study -- Multiple databases, partial reasoning, and knowledge discovery -- Design recovery with data mining techniques -- The CLARET algorithm -- LRTree: A hybrid technique for classifying myocardial infarction data containing unknown attribute values -- Modelling decision tables from data -- A classification and relationship extraction scheme for relational databases based on fuzzy logic -- Mining association rules for estimation and prediction -- Rule generalization by condition combination. |
| Record Nr. | UNISA-996466084703316 |
| Berlin, Heidelberg : , : Springer, , [1998] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||