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ORCID8th PKDD 2004: Pisa, Italy
- Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi:
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
Invited Papers
- Dimitris Achlioptas:
Random Matrices in Data Analysis. 1-7 - Rakesh Agrawal:
Data Privacy. 8 - Soumen Chakrabarti:
Breaking Through the Syntax Barrier: Searching with Entities and Relations. 9-16 - Pedro M. Domingos:
Real-World Learning with Markov Logic Networks. 17 - David J. Hand:
Strength in Diversity: The Advance of Data Analysis. 18-26
Contributed Papers
- Maria-Luiza Antonie, Osmar R. Zaïane:
Mining Positive and Negative Association Rules: An Approach for Confined Rules. 27-38 - Sandra Berasaluce, Claude Laurenço, Amedeo Napoli, Gilles Niel:
An Experiment on Knowledge Discovery in Chemical Databases. 39-51 - Christian Borgelt, Rudolf Kruse:
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering. 52-62 - Constantinos Boulis, Mari Ostendorf:
Combining Multiple Clustering Systems. 63-74 - Francesco Buccafurri, Gianluca Lax:
Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms. 75-86 - Barbara Catania, Anna Maddalena, Maurizio Mazza, Elisa Bertino, Stefano Rizzi:
A Framework for Data Mining Pattern Management. 87-98 - Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. 99-111 - Deepayan Chakrabarti
:
AutoPart: Parameter-Free Graph Partitioning and Outlier Detection. 112-124 - Ira Cohen, Moisés Goldszmidt:
Properties and Benefits of Calibrated Classifiers. 125-136 - Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli:
A Tree-Based Approach to Clustering XML Documents by Structure. 137-148 - Michael Egmont-Petersen, Wim de Jonge, Arno Siebes:
Discovery of Regulatory Connections in Microarray Data. 149-160 - George Forman, Ira Cohen:
Learning from Little: Comparison of Classifiers Given Little Training. 161-172 - Aristides Gionis, Heikki Mannila, Jouni K. Seppänen:
Geometric and Combinatorial Tiles in 0-1 Data. 173-184 - Shantanu Godbole, Abhay Harpale, Sunita Sarawagi, Soumen Chakrabarti:
Document Classification Through Interactive Supervision of Document and Term Labels. 185-196 - Melanie Hilario, Alex L. Mitchell, Jee-Hyub Kim, Paul Bradley, Terri K. Attwood:
Classifying Protein Fingerprints. 197-208 - Shoji Hirano, Shusaku Tsumoto:
Finding Interesting Pass Patterns from Soccer Game Records. 209-218 - François Jacquenet, Christine Largeron:
Discovering Unexpected Information for Technology Watch. 219-230 - Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle:
Scalable Density-Based Distributed Clustering. 231-244 - Adam Jatowt, Mitsuru Ishizuka:
Summarization of Dynamic Content in Web Collections. 245-254 - Wen Jin, Jiawei Han, Martin Ester:
Mining Thick Skylines over Large Databases. 255-266 - Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag:
Ensemble Feature Ranking. 267-278 - Murat Kantarcioglu, Chris Clifton:
Privately Computing a Distributed k-nn Classifier. 279-290 - Byung-Joo Kim, Il Kon Kim:
Incremental Nonlinear PCA for Classification. 291-300 - Wenyuan Li, Wee Keong Ng, Kok-Leong Ong, Ee-Peng Lim:
A Spectroscopy of Texts for Effective Clustering. 301-312 - Nicolas Méger, Christophe Rigotti:
Constraint-Based Mining of Episode Rules and Optimal Window Sizes. 313-324 - Katharina Morik, Hanna Köpcke:
Analysing Customer Churn in Insurance Data - A Case Study. 325-336 - Martin Mozina, Janez Demsar, Michael W. Kattan, Blaz Zupan:
Nomograms for Visualization of Naive Bayesian Classifier. 337-348 - Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda:
Using a Hash-Based Method for Apriori-Based Graph Mining. 349-361 - Miho Ohsaki, Shinya Kitaguchi, Kazuya Okamoto, Hideto Yokoi, Takahira Yamaguchi:
Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis. 362-373 - Salvatore Rinzivillo, Franco Turini:
Classification in Geographical Information Systems. 374-385 - Yvan Saeys, Sven Degroeve, Yves Van de Peer:
Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach. 386-397 - Jun Sese, Shinichi Morishita:
Itemset Classified Clustering. 398-409 - Christian Siefkes, Fidelis Assis, Shalendra Chhabra, William S. Yerazunis:
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering. 410-421 - 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 - Ricardo Vilalta, Tomasz F. Stepinski, Murali-Krishna Achari, Francisco Ocegueda-Hernandez:
A Quantification of Cluster Novelty with an Application to Martian Topography. 434-445 - Xin Wang, Camilo Rostoker, Howard J. Hamilton:
Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators. 446-458 - Zhaohui Wu, Xuezhong Zhou, Baoyan Liu, Junli Chen:
Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge. 459-470 - Ying Yang, Xindong Wu, Xingquan Zhu:
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources. 471-483 - Nan Zhang, Shengquan Wang, Wei Zhao:
A New Scheme on Privacy Preserving Association Rule Mining. 484-495
Posters
- Ilaria Bartolini, Paolo Ciaccia, Irene Ntoutsi, Marco Patella, Yannis Theodoridis:
A Unified and Flexible Framework for Comparing Simple and Complex Patterns. 496-499 - Ronnie Bathoorn, Arno Siebes:
Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data. 500-502 - Élisa Fromont, Marie-Odile Cordier, Rene Quiniou:
Learning from Multi-source Data. 503-505 - Paolo Ferragina, Antonio Gulli:
The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets. 506-508 - Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin:
COCOA: Compressed Continuity Analysis for Temporal Databases. 509-511 - Fabian Mörchen, Alfred Ultsch, Olaf Hoos:
Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method. 512-514 - Chi Lang Ngo, Hung Son Nguyen:
A Tolerance Rough Set Approach to Clustering Web Search Results. 515-517 - Aloísio Carlos de Pina, Gerson Zaverucha:
Improving the Performance of the RISE Algorithm. 518-520 - Qiankun Zhao, Sourav S. Bhowmick:
Mining History of Changes to Web Access Patterns. 521-523
Demonstration Papers
- Gennady L. Andrienko, Natalia V. Andrienko, Peter Gatalsky:
Visual Mining of Spatial Time Series Data. 524-527 - Bruno Apolloni, Andrea Brega, Dario Malchiodi, Cristian Mesiano:
Detecting Driving Awareness. 528-530 - Ranieri Baraglia, Francesco Merlo, Fabrizio Silvestri:
An Effective Recommender System for Highly Dynamic and Large Web Sites. 531-533 - Christian Biemann, Karsten Böhm, Gerhard Heyer, Ronny Melz:
SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections. 534-536 - Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk:
Orange: From Experimental Machine Learning to Interactive Data Mining. 537-539 - Yuval Elovici, Abraham Kandel, Mark Last, Bracha Shapira, Omer Zaafrany, Moti Schneider, Menahem Friedman:
Terrorist Detection System. 540-542 - Paolo Ferragina, Antonio Gulli:
Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets. 543-545 - Shantanu Godbole, Abhay Harpale, Sunita Sarawagi, Soumen Chakrabarti:
HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels. 546-548 - Kristian Kersting, Uwe Dick:
Balios - The Engine for Bayesian Logic Programs. 549-551 - Stratos Paulakis, Charalampos Lampos, Magdalini Eirinaki, Michalis Vazirgiannis:
SEWeP: A Web Mining System Supporting Semantic Personalization. 552-554 - Alexandr A. Savinov:
SPIN! Data Mining System Based on Component Architecture. 555-558
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