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9th PKDD 2005: Porto, Portugal
- Alípio Jorge, Luís Torgo, Pavel Brazdil, Rui Camacho, João Gama:
Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings. Lecture Notes in Computer Science 3721, Springer 2005, ISBN 3-540-29244-6
Invited Talks
- Michael R. Berthold:
Data Analysis in the Life Sciences - Sparking Ideas -. 1 - Claire Cardie:
Machine Learning for Natural Language Processing (and Vice Versa?). 2 - Luc De Raedt:
Statistical Relational Learning: An Inductive Logic Programming Perspective. 3-5 - Eamonn J. Keogh:
Recent Advances in Mining Time Series Data. 6 - Ron Kohavi:
Focus the Mining Beacon: Lessons and Challenges from the World of E-Commerce. 7 - Yossi Matias:
Data Streams and Data Synopses for Massive Data Sets. 8-9
Long Papers
- Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi
:
k-Anonymous Patterns. 10-21 - Stefano Bistarelli
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining. 22-33 - José Luís Cabral de Moura Borges
Generating Dynamic Higher-Order Markov Models in Web Usage Mining. 34-45 - Björn Bringmann, Albrecht Zimmermann:
Tree2 - Decision Trees for Tree Structured Data. 46-58 - Ian Davidson, S. S. Ravi:
Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results. 59-70 - Chris H. Q. Ding, Xiaofeng He:
Cluster Aggregate Inequality and Multi-level Hierarchical Clustering. 71-83 - Lin Dong, Eibe Frank
Ensembles of Balanced Nested Dichotomies for Multi-class Problems. 84-95 - Pedro Gabriel Ferreira, Paulo J. Azevedo
Protein Sequence Pattern Mining with Constraints. 96-107 - Yan-Nei Law, Carlo Zaniolo:
An Adaptive Nearest Neighbor Classification Algorithm for Data Streams. 108-120 - Chi-Hoon Lee, Russell Greiner, Mark Schmidt:
Support Vector Random Fields for Spatial Classification. 121-132 - Jure Leskovec, Deepayan Chakrabarti
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication. 133-145 - Jinyan Li, Haiquan Li, Donny Soh, Limsoon Wong:
A Correspondence Between Maximal Complete Bipartite Subgraphs and Closed Patterns. 146-156 - Ling Li, Amrit Pratap, Hsuan-Tien Lin
Improving Generalization by Data Categorization. 157-168 - Donato Malerba
Mining Model Trees from Spatial Data. 169-180 - Dimitrios Mavroeidis, George Tsatsaronis
Word Sense Disambiguation for Exploiting Hierarchical Thesauri in Text Classification. 181-192 - Marius Pasca:
Mining Paraphrases from Self-anchored Web Sentence Fragments. 193-204 - Marc Plantevit
M2SP: Mining Sequential Patterns Among Several Dimensions. 205-216 - Binyamin Rosenfeld, Moshe Fresko, Ronen Feldman:
A Systematic Comparison of Feature-Rich Probabilistic Classifiers for NER Tasks. 217-227 - Maria Salamó, James Reilly, Lorraine McGinty, Barry Smyth:
Knowledge Discovery from User Preferences in Conversational Recommendation. 228-239 - Gabi Schmidberger, Eibe Frank
Unsupervised Discretization Using Tree-Based Density Estimation. 240-251 - Karl-Michael Schneider:
Weighted Average Pointwise Mutual Information for Feature Selection in Text Categorization. 252-263 - Haifeng Shen, Jun Guo, Gang Liu, Qunxia Li:
Non-stationary Environment Compensation Using Sequential EM Algorithm for Robust Speech Recognition. 264-273 - Shengli Sheng, Charles X. Ling:
Hybrid Cost-Sensitive Decision Tree. 274-284 - Tobias Sing, Valentina Svicher
Characterization of Novel HIV Drug Resistance Mutations Using Clustering, Multidimensional Scaling and SVM-Based Feature Ranking. 285-296 - Parag Singla, Pedro M. Domingos:
Object Identification with Attribute-Mediated Dependences. 297-308 - Domenico Talia
Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids. 309-320 - Tuan Nam Tran, Kenji Satou, Tu Bao Ho:
Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data. 321-330 - Claudio Varini, Andreas Degenhard, Tim W. Nattkemper
ISOLLE: Locally Linear Embedding with Geodesic Distance. 331-342 - Sriharsha Veeramachaneni, Francesca Demichelis, Emanuele Olivetti
Active Sampling for Knowledge Discovery from Biomedical Data. 343-354 - Michail Vlachos
A Multi-metric Index for Euclidean and Periodic Matching. 355-367 - Michail Vlachos
Fast Burst Correlation of Financial Data. 368-379 - Nirmalie Wiratunga
A Propositional Approach to Textual Case Indexing. 380-391 - Marc Wörlein, Thorsten Meinl, Ingrid Fischer, Michael Philippsen:
A Quantitative Comparison of the Subgraph Miners MoFa, gSpan, FFSM, and Gaston. 392-403 - Xiaoxin Yin, Jiawei Han:
Efficient Classification from Multiple Heterogeneous Databases. 404-416 - Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
A Probabilistic Clustering-Projection Model for Discrete Data. 417-428
Short Papers
- Jorge M. Barajas, Xue Li
Collaborative Filtering on Data Streams. 429-436 - Ferenc Bodon, Lars Schmidt-Thieme
The Relation of Closed Itemset Mining, Complete Pruning Strategies and Item Ordering in Apriori-Based FIM Algorithms. 437-444 - Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han:
Community Mining from Multi-relational Networks. 445-452 - Deborah R. Carvalho, Alex Alves Freitas, Nelson F. F. Ebecken
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. 453-461 - Jorge Díez, Juan José del Coz, Carlos Sañudo, Pere Albertí, Antonio Bahamonde:
A Kernel Based Method for Discovering Market Segments in Beef Meat. 462-469 - Bálint Gábor, Viktor Gyenes, András Lörincz:
Corpus-Based Neural Network Method for Explaining Unknown Words by WordNet Senses. 470-477 - Pierre Geurts, Louis Wehenkel
Segment and Combine Approach for Non-parametric Time-Series Classification. 478-485 - Derek Greene
Producing Accurate Interpretable Clusters from High-Dimensional Data. 486-494 - Geoffrey Holmes
Stress-Testing Hoeffding Trees. 495-502 - Jin Huang, Charles X. Ling:
Rank Measures for Ordering. 503-510 - Jin Huang, Charles X. Ling:
Dynamic Ensemble Re-Construction for Better Ranking. 511-518 - Alexander Ilin, Harri Valpola:
Frequency-Based Separation of Climate Signals. 519-526 - Wen Jin, Martin Ester, Jiawei Han:
Efficient Processing of Ranked Queries with Sweeping Selection. 527-535 - Alexandros Kalousis, Julien Prados
Feature Extraction from Mass Spectra for Classification of Pathological States. 536-543 - Arno J. Knobbe
Numbers in Multi-relational Data Mining. 544-551 - Bruce Knuteson, Ricardo Vilalta:
Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation. 552-560 - Aleksander Kolcz, Abdur Chowdhury:
Improved Naive Bayes for Extremely Skewed Misclassification Costs. 561-568 - Kari Laasonen:
Clustering and Prediction of Mobile User Routes from Cellular Data. 569-576 - Longin Jan Latecki
Elastic Partial Matching of Time Series. 577-584 - Chang-Hwan Lee:
An Entropy-Based Approach for Generating Multi-dimensional Sequential Patterns. 585-592 - Wenyuan Li, Kok-Leong Ong, Wee Keong Ng:
Visual Terrain Analysis of High-Dimensional Datasets. 593-600 - Tian-yang Lv, Yu-hui Xing, Shaobin Huang, Zhengxuan Wang, Wanli Zuo:
An Auto-stopped Hierarchical Clustering Algorithm for Analyzing 3D Model Database. 601-608 - Mohamed Nadif, Gérard Govaert:
A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table. 609-616 - Canh Hao Nguyen
An Imbalanced Data Rule Learner. 617-624 - Son N. Nguyen, Maria E. Orlowska:
Improvements in the Data Partitioning Approach for Frequent Itemsets Mining. 625-633 - Richard Nock, Babak Esfandiari:
On-Line Adaptive Filtering of Web Pages. 634-642 - Ruggero G. Pensa
A Bi-clustering Framework for Categorical Data. 643-650 - Huseyin Polat, Wenliang Du:
Privacy-Preserving Collaborative Filtering on Vertically Partitioned Data. 651-658 - Lionel Savary, Karine Zeitouni
Indexed Bit Map (IBM) for Mining Frequent Sequences. 659-666 - Jerffeson Teixeira de Souza, Nathalie Japkowicz
STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process. 667-674 - Marc Sumner, Eibe Frank
Speeding Up Logistic Model Tree Induction. 675-683 - Haixun Wang, Jian Pei
A Random Method for Quantifying Changing Distributions in Data Streams. 684-691 - Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda:
Deriving Class Association Rules Based on Levelwise Subspace Clustering. 692-700 - Lijun Xu, Kanglin Xie:
An Incremental Algorithm for Mining Generators Representation. 701-708 - Cleber Zanchettin
Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization. 709-716
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