Walter Daelemans, Bart Goethals, Katharina Morik (Eds.): Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I. Springer 2008 Lecture Notes in Computer Science ISBN 978-3-540-87478-2
Invited Talks (Abstracts)
- Françoise Fogelman-Soulié: Industrializing Data Mining, Challenges and Perspectives. 1
- Yoav Freund: From Microscopy Images to Models of Cellular Processes. 2
- Anil K. Jain: Data Clustering: 50 Years Beyond K-means. 3-4
- Raymond J. Mooney: Learning Language from Its Perceptual Context. 5
- Raghu Ramakrishnan: The Role of Hierarchies in Exploratory Data Mining. 6
Machine Learning Journal Abstracts
- Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri: New Closed-Form Bounds on the Partition Function. 8
- Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik: Large Margin vs. Large Volume in Transductive Learning. 9-10
- Ankur Jain, Daniel Nikovski: Incremental Exemplar Learning Schemes for Classification on Embedded Devices. 11
- Heng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich: A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity. 12
- Markus Weimer, Alexandros Karatzoglou, Alex J. Smola: Improving Maximum Margin Matrix Factorization. 14
Data Mining and Knowledge Discovery Journal Abstracts
- Adrian Kügel, Enno Ohlebusch: A Space Efficient Solution to the Frequent String Mining Problem for Many Databases. 16
- Pauli Miettinen: The Boolean Column and Column-Row Matrix Decompositions. 17
- Apostolos N. Papadopoulos, Apostolos Lyritsis, Yannis Manolopoulos: SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs. 18
- Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad: Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data. 22
Regular Papers
- Rezwan Ahmed, Huzefa Rangwala, George Karypis: TOPTMH: Topology Predictor for Transmembrane alpha-Helices. 23-38
- Jaime Alonso, Juan José del Coz, Jorge Díez, Oscar Luaces, Antonio Bahamonde: Learning to Predict One or More Ranks in Ordinal Regression Tasks. 39-54
- Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng: Cascade RSVM in Peer-to-Peer Networks. 55-70
- Andreas Argyriou, Andreas Maurer, Massimiliano Pontil: An Algorithm for Transfer Learning in a Heterogeneous Environment. 71-85
- José L. Balcázar: Minimum-Size Bases of Association Rules. 86-101
- Yaxin Bi, Shengli Wu, Xuhui Shen, Pan Xiong: Combining Classifiers through Triplet-Based Belief Functions. 102-116
- Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao: An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. 117-132
- Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton: Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis. 133-145
- Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont: Semi-supervised Classification from Discriminative Random Walks. 162-177
- Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen: Learning Bidirectional Similarity for Collaborative Filtering. 178-194
- Andrew Carlson, Charles Schafer: Bootstrapping Information Extraction from Semi-structured Web Pages. 195-210
- Doran Chakraborty, Peter Stone: Online Multiagent Learning against Memory Bounded Adversaries. 211-226
- Giorgio Corani, Marco Zaffalon: Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities. 257-271
- Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro: On the Equivalence of the SMO and MDM Algorithms for SVM Training. 288-300
- Wouter Duivesteijn, Ad Feelders: Nearest Neighbour Classification with Monotonicity Constraints. 301-316
- Eric Eaton, Marie desJardins, Terran Lane: Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer. 317-332
- Frank Eichinger, Klemens Böhm, Matthias Huber: Mining Edge-Weighted Call Graphs to Localise Software Bugs. 333-348
- Ana Maria Funes, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana: Hierarchical Distance-Based Conceptual Clustering. 349-364
- Andrés Gago Alonso, José E. Medina-Pagola, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad: Mining Frequent Connected Subgraphs Reducing the Number of Candidates. 365-376
- Alvina Goh, René Vidal: Unsupervised Riemannian Clustering of Probability Density Functions. 377-392
- Andrew B. Goldberg, Ming Li, Xiaojin Zhu: Online Manifold Regularization: A New Learning Setting and Empirical Study. 393-407
- Steve Gregory: A Fast Algorithm to Find Overlapping Communities in Networks. 408-423
- Valerio Grossi, Andrea Romei, Salvatore Ruggieri: A Case Study in Sequential Pattern Mining for IT-Operational Risk. 424-439
- Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel: Tight Optimistic Estimates for Fast Subgroup Discovery. 440-456
- Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond J. Mooney: Watch, Listen & Learn: Co-training on Captioned Images and Videos. 457-472
- Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt: Parameter Learning in Probabilistic Databases: A Least Squares Approach. 473-488
- Md. Rafiul Hassan, M. Maruf Hossain, James Bailey, Kotagiri Ramamohanarao: Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics. 489-504
- Kathryn Hempstalk, Eibe Frank, Ian H. Witten: One-Class Classification by Combining Density and Class Probability Estimation. 505-519
- Tamás Horváth, Jan Ramon: Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth. 520-535
- Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin: Proper Model Selection with Significance Test. 536-547
- Nathalie Japkowicz, Pritika Sanghi, Peter E. Tischer: A Projection-Based Framework for Classifier Performance Evaluation. 548-563
- Yangqing Jia, Zheng Wang, Changshui Zhang: Distortion-Free Nonlinear Dimensionality Reduction. 564-579
- Ata Kabán, Robert J. Durrant: Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features. 580-596
- Thoralf Klein, Ulf Brefeld, Tobias Scheffer: Exact and Approximate Inference for Annotating Graphs with Structural SVMs. 611-623
- Stanley Kok, Pedro Domingos: Extracting Semantic Networks from Text Via Relational Clustering. 624-639
- Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos A. Vlassis: Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs. 656-671
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