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ORCID11th PKDD 2007: Warsaw, Poland
- Joost N. Kok, Jacek Koronacki, Ramón López de Mántaras, Stan Matwin, Dunja Mladenic, Andrzej Skowron:
Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings. Lecture Notes in Computer Science 4702, Springer 2007, ISBN 978-3-540-74975-2
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 J. 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 M. 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, Míriam 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 P. 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
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