8. PKDD 2004:
Pisa,
Italy
Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi (Eds.):
Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings.
Lecture Notes in Computer Science 3202 Springer 2004, ISBN 3-540-23108-0 BibTeX
Invited Papers
Contributed Papers
- Maria-Luiza Antonie, Osmar R. Zaïane:
Mining Positive and Negative Association Rules: An Approach for Confined Rules.
27-38
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- Sandra Berasaluce, Claude Laurenço, Amedeo Napoli, Gilles Niel:
An Experiment on Knowledge Discovery in Chemical Databases.
39-51
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- Christian Borgelt, Rudolf Kruse:
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering.
52-62
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- Constantinos Boulis, Mari Ostendorf:
Combining Multiple Clustering Systems.
63-74
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- Francesco Buccafurri, Gianluca Lax:
Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms.
75-86
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- Barbara Catania, Anna Maddalena, Maurizio Mazza, Elisa Bertino, Stefano Rizzi:
A Framework for Data Mining Pattern Management.
87-98
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- Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach.
99-111
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- Deepayan Chakrabarti:
AutoPart: Parameter-Free Graph Partitioning and Outlier Detection.
112-124
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- Ira Cohen, Moisés Goldszmidt:
Properties and Benefits of Calibrated Classifiers.
125-136
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- Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli:
A Tree-Based Approach to Clustering XML Documents by Structure.
137-148
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- Michael Egmont-Petersen, Wim de Jonge, Arno Siebes:
Discovery of Regulatory Connections in Microarray Data.
149-160
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- George Forman, Ira Cohen:
Learning from Little: Comparison of Classifiers Given Little Training.
161-172
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- Aristides Gionis, Heikki Mannila, Jouni K. Seppänen:
Geometric and Combinatorial Tiles in 0-1 Data.
173-184
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- Shantanu Godbole, Abhay Harpale, Sunita Sarawagi, Soumen Chakrabarti:
Document Classification Through Interactive Supervision of Document and Term Labels.
185-196
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- Melanie Hilario, Alex Mitchell, Jee-Hyub Kim, Paul Bradley, Terri K. Attwood:
Classifying Protein Fingerprints.
197-208
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- Shoji Hirano, Shusaku Tsumoto:
Finding Interesting Pass Patterns from Soccer Game Records.
209-218
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- François Jacquenet, Christine Largeron:
Discovering Unexpected Information for Technology Watch.
219-230
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- Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle:
Scalable Density-Based Distributed Clustering.
231-244
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- Adam Jatowt, Mitsuru Ishizuka:
Summarization of Dynamic Content in Web Collections.
245-254
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- Wen Jin, Jiawei Han, Martin Ester:
Mining Thick Skylines over Large Databases.
255-266
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- Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag:
Ensemble Feature Ranking.
267-278
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- Murat Kantarcioglu, Chris Clifton:
Privately Computing a Distributed k-nn Classifier.
279-290
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- Byung-Joo Kim, Il Kon Kim:
Incremental Nonlinear PCA for Classification.
291-300
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- Wenyuan Li, Wee Keong Ng, Kok-Leong Ong, Ee-Peng Lim:
A Spectroscopy of Texts for Effective Clustering.
301-312
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- Nicolas Méger, Christophe Rigotti:
Constraint-Based Mining of Episode Rules and Optimal Window Sizes.
313-324
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- Katharina Morik, Hanna Köpcke:
Analysing Customer Churn in Insurance Data - A Case Study.
325-336
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- Martin Mozina, Janez Demsar, Michael W. Kattan, Blaz Zupan:
Nomograms for Visualization of Naive Bayesian Classifier.
337-348
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- Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda:
Using a Hash-Based Method for Apriori-Based Graph Mining.
349-361
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- Miho Ohsaki, Shinya Kitaguchi, Kazuya Okamoto, Hideto Yokoi, Takahira Yamaguchi:
Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis.
362-373
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- Salvatore Rinzivillo, Franco Turini:
Classification in Geographical Information Systems.
374-385
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- Yvan Saeys, Sven Degroeve, Yves Van de Peer:
Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach.
386-397
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- Jun Sese, Shinichi Morishita:
Itemset Classified Clustering.
398-409
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- Christian Siefkes, Fidelis Assis, Shalendra Chhabra, William S. Yerazunis:
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering.
410-421
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- Adriano Veloso, Wagner Meira Jr., Renato Ferreira, Dorgival Olavo Guedes Neto, Srinivasan Parthasarathy:
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining.
422-433
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- Ricardo Vilalta, Tomasz F. Stepinski, Murali-Krishna Achari, Francisco Ocegueda-Hernandez:
A Quantification of Cluster Novelty with an Application to Martian Topography.
434-445
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- Xin Wang, Camilo Rostoker, Howard J. Hamilton:
Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators.
446-458
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- Zhaohui Wu, Xuezhong Zhou, Baoyan Liu, Junli Chen:
Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge.
459-470
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- Ying Yang, Xindong Wu, Xingquan Zhu:
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.
471-483
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- Nan Zhang, Shengquan Wang, Wei Zhao:
A New Scheme on Privacy Preserving Association Rule Mining.
484-495
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Posters
- Ilaria Bartolini, Paolo Ciaccia, Irene Ntoutsi, Marco Patella, Yannis Theodoridis:
A Unified and Flexible Framework for Comparing Simple and Complex Patterns.
496-499
Electronic Edition (link) BibTeX
- Ronnie Bathoorn, Arno Siebes:
Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data.
500-502
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- Élisa Fromont, Marie-Odile Cordier, Rene Quiniou:
Learning from Multi-source Data.
503-505
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- Paolo Ferragina, Antonio Gulli:
The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets.
506-508
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- Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin:
COCOA: Compressed Continuity Analysis for Temporal Databases.
509-511
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- Fabian Mörchen, Alfred Ultsch, Olaf Hoos:
Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method.
512-514
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- Chi Lang Ngo, Hung Son Nguyen:
A Tolerance Rough Set Approach to Clustering Web Search Results.
515-517
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- Aloísio Carlos de Pina, Gerson Zaverucha:
Improving the Performance of the RISE Algorithm.
518-520
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- Qiankun Zhao, Sourav S. Bhowmick:
Mining History of Changes to Web Access Patterns.
521-523
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Demonstration Papers
- Gennady L. Andrienko, Natalia V. Andrienko, Peter Gatalsky:
Visual Mining of Spatial Time Series Data.
524-527
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- Bruno Apolloni, Andrea Brega, Dario Malchiodi, Cristian Mesiano:
Detecting Driving Awareness.
528-530
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- Ranieri Baraglia, Francesco Merlo, Fabrizio Silvestri:
An Effective Recommender System for Highly Dynamic and Large Web Sites.
531-533
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- Christian Biemann, Karsten Böhm, Gerhard Heyer, Ronny Melz:
SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections.
534-536
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- Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk:
Orange: From Experimental Machine Learning to Interactive Data Mining.
537-539
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- Yuval Elovici, Abraham Kandel, Mark Last, Bracha Shapira, Omer Zaafrany, Moti Schneider, Menahem Friedman:
Terrorist Detection System.
540-542
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- Paolo Ferragina, Antonio Gulli:
Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets.
543-545
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- Shantanu Godbole, Abhay Harpale, Sunita Sarawagi, Soumen Chakrabarti:
HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels.
546-548
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- Kristian Kersting, Uwe Dick:
Balios - The Engine for Bayesian Logic Programs.
549-551
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- Stratos Paulakis, Charalampos Lampos, Magdalini Eirinaki, Michalis Vazirgiannis:
SEWeP: A Web Mining System Supporting Semantic Personalization.
552-554
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- Alexandr A. Savinov:
SPIN! Data Mining System Based on Component Architecture.
555-558
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Copyright © Sat May 16 23:33:28 2009
by Michael Ley (ley@uni-trier.de)