PKDD

Keyphrases

Publications

2007

Dominique Fournier, Gaële Simon, Bruno Mermet
A Dynamic Clustering Algorithm for Mobile Objects. PKDD (2007)
Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract). PKDD (2007)
Hendrik Blockeel, Joaquin Vanschoren
Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning. PKDD (2007)
Ramasuri Narayanam, V. Santosh Srinivas, M. Narasimha Murty
A Cooperative Game Theoretic Approach to Prototype Selection. PKDD (2007)
Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper
A Comparison of Two Approaches to Classify with Guaranteed Performance. PKDD (2007)
João Gama, Pedro Pereira Rodrigues
Stream-Based Electricity Load Forecast. PKDD (2007)
Michal Kozielski
Multilevel Conditional Fuzzy C-Means Clustering of XML Documents. PKDD (2007)
Saara Hyvönen, Esa Junttila, Marko Salmenkivi
Pre-processing Large Spatial Data Sets with Bayesian Methods. PKDD (2007)
Yi Zhang, Bing Liu
Semantic Text Classification of Emergent Disease Reports. PKDD (2007)
Jianyong Sun, Ata Kabán, Somak Raychaudhury
Robust Visual Mining of Data with Error Information. PKDD (2007)
Adriano Veloso, Wagner Meira Jr., Marcos André Gonçalves, Mohammed Javeed Zaki
Multi-label Lazy Associative Classification. PKDD (2007)
Antti Ukkonen, Heikki Mannila
Finding Outlying Items in Sets of Partial Rankings. PKDD (2007)
Andrzej Dominik, Zbigniew Walczak, Jacek Wojciechowski
Classification of Web Documents Using a Graph-Based Model and Structural Patterns. PKDD (2007)
Fletcher Lu
Uncovering Fraud in Direct Marketing Data with a Fraud Auditing Case Builder. PKDD (2007)
Ke-Bing Zhang, Mehmet A. Orgun, Kang Zhang
. PKDD (2007)
Carsten Riggelsen, Matthias Ohrnberger, Frank Scherbaum
Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals. PKDD (2007)
Daniel Lowd, Pedro M. Domingos
Efficient Weight Learning for Markov Logic Networks. PKDD (2007)
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. PKDD (2007)
Luís A. Alexandre, João Casteleiro, Nuno Nobreinst
Polyp Detection in Endoscopic Video Using SVMs. PKDD (2007)
Ashraf M. Kibriya, Eibe Frank
An Empirical Comparison of Exact Nearest Neighbour Algorithms. PKDD (2007)
Adriana Birlutiu, Tom Heskes
Expectation Propagation for Rating Players in Sports Competitions. PKDD (2007)
Marc-Ismaël Akodjènou-Jeannin, Kavé Salamatian, Patrick Gallinari
Flexible Grid-Based Clustering. PKDD (2007)
Luís Torgo, Rita P. Ribeiro
Utility-Based Regression. PKDD (2007)
Toon Calders, Szymon Jaroszewicz
Efficient AUC Optimization for Classification. PKDD (2007)
Steve Gregory
An Algorithm to Find Overlapping Community Structure in Networks. PKDD (2007)
Zhiguo Gong, Jingbai Zhang, Qian Liu
Automatic Hidden Web Database Classification. PKDD (2007)
Zhengli Huang, Wenliang Du, Zhouxuan Teng
Searching for Better Randomized Response Schemes for Privacy-Preserving Data Mining. PKDD (2007)
Guillaume Wisniewski, Patrick Gallinari
Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence Labeling. PKDD (2007)
Aleksander Kolcz, Wen-tau Yih
Site-Independent Template-Block Detection. PKDD (2007)
Tianyi Wu, Yuguo Chen, Jiawei Han
Association Mining in Large Databases: A Re-examination of Its Measures. PKDD (2007)
Michelangelo Ceci, Annalisa Appice, Donato Malerba
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. PKDD (2007)
Colin Cooper, Michele Zito
Realistic Synthetic Data for Testing Association Rule Mining Algorithms for Market Basket Databases. PKDD (2007)
Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski
Statistical Model for Rough Set Approach to Multicriteria Classification. PKDD (2007)
Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu
Visual Exploration of Genomic Data. PKDD (2007)
Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
A Graphical Model for Content Based Image Suggestion and Feature Selection. PKDD (2007)
Nenad Tomasev, Doni Pracner, Milos Radovanovic, Mirjana Ivanovic
Automatic Categorization of Human-Coded and Evolved CoreWar Warriors. PKDD (2007)
Benjamin Georgi, Jörg Schultz, Alexander Schliep
Context-Specific Independence Mixture Modelling for Protein Families. PKDD (2007)
Mark Palatucci, Tom M. Mitchell
Classification in Very High Dimensional Problems with Handfuls of Examples. PKDD (2007)
Sanmay Das, Milton H. Saier Jr., Charles Elkan
Finding Transport Proteins in a General Protein Database. PKDD (2007)
Victor Eruhimov, Vladimir Martyanov, Eugene Tuv
Constructing High Dimensional Feature Space for Time Series Classification. PKDD (2007)
Jussi Kujala, Tapio Elomaa
Improved Algorithms for Univariate Discretization of Continuous Features. PKDD (2007)
Chris Drummond
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling. PKDD (2007)
Robert Jäschke, Leandro Balby Marinho, Andreas Hotho, Lars Schmidt-Thieme, Gerd Stumme
Tag Recommendations in Folksonomies. PKDD (2007)
Jun Karamon, Yutaka Matsuo, Hikaru Yamamoto, Mitsuru Ishizuka
Generating Social Network Features for Link-Based Classification. PKDD (2007)
Tomás Singliar, Milos Hauskrecht
Learning to Detect Adverse Traffic Events from Noisily Labeled Data. PKDD (2007)
Frank Höppner, Mirko Böttcher
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains. PKDD (2007)
Sebastian Blohm, Philipp Cimiano
Using the Web to Reduce Data Sparseness in Pattern-Based Information Extraction. PKDD (2007)
Hongyu Guo, Herna L. Viktor, Eric Paquet
Pruning Relations for Substructure Discovery of Multi-relational Databases. PKDD (2007)
Gert Van Dijck, Marc M. Van Hulle
Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering. PKDD (2007)

volume 4702, 2007

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 PKDD 4702 (2007)