11. PKDD 2007: Warsaw, Poland

Invited Talks (shared with ECML 2007)

• Tom M. Mitchell:
  Learning, Information Extraction and the Web. 1
  
• Peter A. Flach:
  Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation. 2-3
  
• Ricardo A. Baeza-Yates:
  Mining Queries. 4
  
• Barry Smyth:
  Adventures in Personalized Information Access. 5
  

Long Papers

• Hendrik Blockeel, Joaquin Vanschoren:
  Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning. 6-17
  
• Sebastian Blohm, Philipp Cimiano:
  Using the Web to Reduce Data Sparseness in Pattern-Based Information Extraction. 18-29
  
• Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila:
  A Graphical Model for Content Based Image Suggestion and Feature Selection. 30-41
  
• Toon Calders, Szymon Jaroszewicz:
  Efficient AUC Optimization for Classification. 42-53
  
• Sanmay Das, Milton H. Saier Jr., Charles Elkan:
  Finding Transport Proteins in a General Protein Database. 54-66
  
• Andrzej Dominik, Zbigniew Walczak, Jacek Wojciechowski:
  Classification of Web Documents Using a Graph-Based Model and Structural Patterns. 67-78
  
• Benjamin Georgi, Jörg Schultz, Alexander Schliep:
  Context-Specific Independence Mixture Modelling for Protein Families. 79-90
  
• Steve Gregory:
  An Algorithm to Find Overlapping Community Structure in Networks. 91-102
  
• Ling Guo, Songtao Guo, Xintao Wu:
  Privacy Preserving Market Basket Data Analysis. 103-114
  
• Julia Hunter, Martin Colley:
  Feature Extraction from Sensor Data Streams for Real-Time Human Behaviour Recognition. 115-126
  
• Jun Karamon, Yutaka Matsuo, Hikaru Yamamoto, Mitsuru Ishizuka:
  Generating Social Network Features for Link-Based Classification. 127-139
  
• Ashraf M. Kibriya, Eibe Frank:
  An Empirical Comparison of Exact Nearest Neighbour Algorithms. 140-151
  
• Aleksander Kolcz, Wen-tau Yih:
  Site-Independent Template-Block Detection. 152-163
  
• Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski:
  Statistical Model for Rough Set Approach to Multicriteria Classification. 164-175
  
• Adam Kowalczyk:
  Classification of Anti-learnable Biological and Synthetic Data. 176-187
  
• Jussi Kujala, Tapio Elomaa:
  Improved Algorithms for Univariate Discretization of Continuous Features. 188-199
  
• Daniel Lowd, Pedro Domingos:
  Efficient Weight Learning for Markov Logic Networks. 200-211
  
• Mark Palatucci, Tom M. Mitchell:
  Classification in Very High Dimensional Problems with Handfuls of Examples. 212-223
  
• Sandeepkumar Satpal, Sunita Sarawagi:
  Domain Adaptation of Conditional Probability Models Via Feature Subsetting. 224-235
  
• Tomás Singliar, Milos Hauskrecht:
  Learning to Detect Adverse Traffic Events from Noisily Labeled Data. 236-247
  
• Yang Song, Jian Huang, Ding Zhou, Hongyuan Zha, C. Lee Giles:
  IKNN: Informative K-Nearest Neighbor Pattern Classification. 248-264
  
• Antti Ukkonen, Heikki Mannila:
  Finding Outlying Items in Sets of Partial Rankings. 265-276
  
• Gert Van Dijck, Marc M. Van Hulle:
  Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering. 277-287
  
• Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper:
  A Comparison of Two Approaches to Classify with Guaranteed Performance. 288-299
  
• Alexandre Vautier, Marie-Odile Cordier, Rene Quiniou:
  Towards Data Mining Without Information on Knowledge Structure. 300-311
  
• Guillaume Wisniewski, Patrick Gallinari:
  Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence Labeling. 312-323
  
• Dikan Xing, Wenyuan Dai, Gui-Rong Xue, Yong Yu:
  Bridged Refinement for Transfer Learning. 324-335
  
• Ke-Bing Zhang, Mehmet A. Orgun, Kang Zhang:
  A Prediction-Based Visual Approach for Cluster Exploration and Cluster Validation by HOV³. 336-349
  

Short Papers

• Marc-Ismaël Akodjènou-Jeannin, Kavé Salamatian, Patrick Gallinari:
  Flexible Grid-Based Clustering. 350-357
  
• Luís A. Alexandre, João Casteleiro, Nuno Nobreinst:
  Polyp Detection in Endoscopic Video Using SVMs. 358-365
  
• Ana Paula Appel, Adriano Arantes Paterlini, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.:
  A Density-Biased Sampling Technique to Improve Cluster Representativeness. 366-373
  
• Adriana Birlutiu, Tom Heskes:
  Expectation Propagation for Rating Players in Sports Competitions. 374-381
  
• Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel:
  Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract). 382-389
  
• Michelangelo Ceci, Annalisa Appice, Donato Malerba:
  Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. 390-397
  
• Colin Cooper, Michele Zito:
  Realistic Synthetic Data for Testing Association Rule Mining Algorithms for Market Basket Databases. 398-405
  
• Chris Drummond:
  Learning Multi-dimensional Functions: Gas Turbine Engine Modeling. 406-413
  
• Victor Eruhimov, Vladimir Martyanov, Eugene Tuv:
  Constructing High Dimensional Feature Space for Time Series Classification. 414-421
  
• Dominique Fournier, Gaële Simon, Bruno Mermet:
  A Dynamic Clustering Algorithm for Mobile Objects. 422-429
  
• Richard Frank, Flavia Moser, Martin Ester:
  A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions. 430-437
  
• Arianna Gallo, Tijl De Bie, Nello Cristianini:
  MINI: Mining Informative Non-redundant Itemsets. 438-445
  
• João Gama, Pedro Pereira Rodrigues:
  Stream-Based Electricity Load Forecast. 446-453
  
• Zhiguo Gong, Jingbai Zhang, Qian Liu:
  Automatic Hidden Web Database Classification. 454-461
  
• Hongyu Guo, Herna L. Viktor, Eric Paquet:
  Pruning Relations for Substructure Discovery of Multi-relational Databases. 462-470
  
• Petteri Hintsanen:
  The Most Reliable Subgraph Problem. 471-478
  
• Frank Höppner, Mirko Böttcher:
  Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains. 479-486
  
• Zhengli Huang, Wenliang Du, Zhouxuan Teng:
  Searching for Better Randomized Response Schemes for Privacy-Preserving Data Mining. 487-497
  
• Saara Hyvönen, Esa Junttila, Marko Salmenkivi:
  Pre-processing Large Spatial Data Sets with Bayesian Methods. 498-505
  
• Robert Jäschke, Leandro Balby Marinho, Andreas Hotho, Lars Schmidt-Thieme, Gerd Stumme:
  Tag Recommendations in Folksonomies. 506-514
  
• Cihan Kaleli, Huseyin Polat:
  Providing Naïve Bayesian Classifier-Based Private Recommendations on Partitioned Data. 515-522
  
• Hillol Kargupta, Kamalika Das, Kun Liu:
  Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework. 523-531
  
• Michal Kozielski:
  Multilevel Conditional Fuzzy C-Means Clustering of XML Documents. 532-539
  
• Fletcher Lu:
  Uncovering Fraud in Direct Marketing Data with a Fraud Auditing Case Builder. 540-547
  
• Mario Martínez-Zarzuela, Francisco Javier Díaz Pernas, David González Ortega, José Fernando Díez Higuera, Miriam Antón-Rodríguez:
  Real Time GPU-Based Fuzzy ART Skin Recognition. 548-555
  
• Ramasuri Narayanam, V. Santosh Srinivas, M. Narasimha Murty:
  A Cooperative Game Theoretic Approach to Prototype Selection. 556-564
  
• Carsten Riggelsen, Matthias Ohrnberger, Frank Scherbaum:
  Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals. 565-572
  
• Jianyong Sun, Ata Kabán, Somak Raychaudhury:
  Robust Visual Mining of Data with Error Information. 573-580
  
• Songbo Tan, Xueqi Cheng:
  An Effective Approach to Enhance Centroid Classifier for Text Categorization. 581-588
  
• Nenad Tomasev, Doni Pracner, Milos Radovanovic, Mirjana Ivanovic:
  Automatic Categorization of Human-Coded and Evolved CoreWar Warriors. 589-596
  
• Luís Torgo, Rita Ribeiro:
  Utility-Based Regression. 597-604
  
• Adriano Veloso, Wagner Meira Jr., Marcos André Gonçalves, Mohammed Javeed Zaki:
  Multi-label Lazy Associative Classification. 605-612
  
• Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu:
  Visual Exploration of Genomic Data. 613-620
  
• Tianyi Wu, Yuguo Chen, Jiawei Han:
  Association Mining in Large Databases: A Re-examination of Its Measures. 621-628
  
• Yi Zhang, Bing Liu:
  Semantic Text Classification of Emergent Disease Reports. 629-637