Principles of data mining and knowledge discovery. 6th European conference, PKDD 2002, Helsinki, Finland, August 19--23, 2002. Proceedings (Q1866718)
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scientific article; zbMATH DE number 1897683
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| English | Principles of data mining and knowledge discovery. 6th European conference, PKDD 2002, Helsinki, Finland, August 19--23, 2002. Proceedings |
scientific article; zbMATH DE number 1897683 |
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Principles of data mining and knowledge discovery. 6th European conference, PKDD 2002, Helsinki, Finland, August 19--23, 2002. Proceedings (English)
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15 April 2003
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The articles of this volume will be reviewed individually. The preceding conference has been reviewed (see Zbl 0972.68686). Indexed articles: \textit{Abe, Kenji; Kawasoe, Shinji; Asai, Tatsuya; Arimura, Hiroki; Arikawa, Setsuo}, Optimized substructure discovery for semi-structured data, 1-14 [Zbl 1020.68521] \textit{Angiulli, Fabrizio; Pizzuti, Clara}, Fast outlier detection in high dimensional spaces, 15-26 [Zbl 1020.68527] \textit{Arnborg, Stefan; Agartz, Ingrid; Hall, Håkan; Jönsson, Erik; Sillén, Anna; Sedvall, Göran}, Data mining in schizophrenia research -- preliminary analysis, 27-38 [Zbl 1020.68532] \textit{Bailey, James; Manoukian, Thomas; Ramamohanarao, Kotagiri}, Fast algorithms for mining emerging patterns, 39-50 [Zbl 1020.68538] \textit{Berberidis, Christos; Vlahavas, Ioannis; Aref, Walid G.; Atallah, Mikhail; Elmagarmid, Ahmed K.}, On the discovery of weak periodicities in large time series, 51-61 [Zbl 1020.68546] \textit{Brain, Damien; Webb, Geoffrey I.}, The need for low bias algorithms in classification learning from large data sets, 62-73 [Zbl 1020.68555] \textit{Calders, Toon; Goethals, Bart}, Mining all non-derivable frequent itemsets, 74-85 [Zbl 1020.68566] \textit{Choki, Yuta; Suzuki, Einoshin}, Iterative data squashing for boosting based on a distribution-sensitive distance, 86-98 [Zbl 1020.68593] \textit{Coenen, Frans; Leng, Paul}, Finding association rules with some very frequent attributes, 99-111 [Zbl 1020.68595] \textit{Ding, Chris; He, Xiaofeng; Zha, Hongyuan; Simon, Horst}, Unsupervised learning: Self-aggregation in scaled principal component space, 112-124 [Zbl 1020.68613] \textit{Domeniconi, Carlotta; Perng, Chang-shing; Vilalta, Ricardo; Ma, Sheng}, A classification approach for prediction of target events in temporal sequences, 125-137 [Zbl 1020.68616] \textit{Felty, Amy; Matwin, Stan}, Privacy-oriented data mining by proof checking, 138-149 [Zbl 1020.68623] \textit{Forman, George}, Choose your words carefully: An empirical study of feature selection metrics for text classification, 150-162 [Zbl 1020.68631] \textit{Gamberger, Dragan; Lavrac, Nada}, Generating actionable knowledge by expert-guided subgroup discovery, 163-174 [Zbl 1020.68640] \textit{Giannotti, Fosca; Gozzi, Cristian; Manco, Giuseppe}, Clustering transactional data, 175-187 [Zbl 1020.68644] \textit{Hirano, Shoji; Tsumoto, Shusaku}, Multiscale comparison of temporal patterns in time-series medical databases, 188-199 [Zbl 1020.68669] \textit{Hüllermeier, Eyke}, Association rules for expressing gradual dependencies, 200-211 [Zbl 1020.68677] \textit{Jaroszewicz, Szymon; Simovici, Dan A.}, Support approximations using Bonferroni-type inequalities, 212-224 [Zbl 1020.68691] \textit{Jeudy, Baptiste; Boulicaut, Jean-François}, Using condensed representations for interactive association rule mining, 225-236 [Zbl 1020.68692] \textit{Joshi, Mahesh V.; Agarwal, Ramesh C.; Kumar, Vipin}, Predicting rare classes: Comparing two-phase rule induction to cost-sensitive boosting, 237-249 [Zbl 1020.68698] \textit{Kargupta, Hillol; Sivakumar, Krishnamoorthy; Ghosh, Samiran}, Dependency detection in MobiMine and random matrices, 250-262 [Zbl 1020.68705] \textit{Kemp, Charles; Ramamohanarao, Kotagiri}, Long-term learning for web search engines, 263-274 [Zbl 1020.68710] \textit{Klösgen, Willi; May, Michael}, Spatial subgroup mining integrated in an object-relational spatial database, 275-286 [Zbl 1020.68727] \textit{Knobbe, Arno J.; Siebes, Arno; Marseille, Bart}, Involving aggregate functions in multi-relational search, 287-298 [Zbl 1020.68729] \textit{Kosala, Raymond; Van den Bussche, Jan; Bruynooghe, Maurice; Blockeel, Hendrik}, Information extraction in structured documents using tree automata induction, 299-310 [Zbl 1020.68738] \textit{Koyutürk, Mehmet; Grama, Ananth; Ramakrishnan, Naren}, Algebraic techniques for analysis of large discrete-valued datasets, 311-324 [Zbl 1020.68741] \textit{Li, Jinyan; Wong, Limsoon}, Geography of differences between two classes of data, 325-337 [Zbl 1020.68766] \textit{Lidén, Per; Asker, Lars; Boström, Henrik}, Rule induction for classification of gene expression array data, 338-347 [Zbl 1020.68769] \textit{Maedche, Alexander; Zacharias, Valentin}, Clustering ontology-based metadata in the semantic web, 348-360 [Zbl 1020.68787] \textit{Mamitsuka, Hiroshi}, Iteratively selecting feature subsets for mining from high-dimensional databases, 361-372 [Zbl 1020.68789] \textit{Paaß, Gerhard; Leopold, Edda; Larson, Martha; Kindermann, Jörg; Eickeler, Stefan}, SVM classification using sequences of phonemes and syllables, 373-384 [Zbl 1020.68835] \textit{Park, Laurence A. F.; Palaniswami, Marimuthu; Ramamohanarao, Kotagiri}, A novel web text mining method using the discrete cosine transform, 385-396 [Zbl 1020.68836] \textit{Scheffer, Tobias; Wrobel, Stefan}, A scalable constant-memory sampling algorithm for pattern discovery in large databases, 397-409 [Zbl 1020.68878] \textit{Sese, Jun; Morishita, Shinichi}, Answering the most correlated \(N\) association rules efficiently, 410-422 [Zbl 1020.68886] \textit{Tsumoto, Shusaku}, Mining hierarchical decision rules from clinical databases using rough sets and medical diagnostic model, 423-434 [Zbl 1020.68922] \textit{Veloso, Adriano; Gusmão, Bruno; Meira, Wagner jun.; Carvalho, Marcio; Parthasarathy, Srini; Zaki, Mohammed}, Efficiently mining approximate models of associations in evolving databases, 435-448 [Zbl 1020.68928] \textit{Wall, Robert; Cunningham, Pádraig; Walsh, Paul}, Explaining predictions from a neural network ensemble one at a time, 449-460 [Zbl 1020.68933] \textit{Winkler, Karsten; Spiliopoulou, Myra}, Structuring domain-specific text archives by deriving a probabilistic XML DTD, 461-474 [Zbl 1020.68945] \textit{Zighed, Djamel A.; Lallich, Stéphane; Muhlenbach, Fabrice}, Separability index in supervised learning, 475-487 [Zbl 1020.68973] \textit{Oja, Erkki}, Finding hidden factors using independent component analysis, 488 [Zbl 1020.68833] \textit{Roth, Dan}, Reasoning with classifiers, 489-493 [Zbl 1020.68868] \textit{Schölkopf, Bernhard; Weston, Jason; Eskin, Eleazar; Leslie, Christina; Noble, William Stafford}, A kernel approach for learning from almost orthogonal patterns, 494-511 [Zbl 1020.68882] \textit{Smyth, Padhraic}, Learning with mixture models: Concepts and applications, 512 [Zbl 1020.68898]
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Data mining
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Knowledge discovery
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PKDD 2002
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Helsinki, Finland
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