| Invited Talks (Abstracts) |
| Industrializing Data Mining, Challenges and Perspectives / Francoise Fogelman-Soulie |
| From Microscopy Images to Models of Cellular Processes / Yoav Freund |
| Data Clustering: 50 Years Beyond K-means / Anil K. Jain |
| Learning Language from Its Perceptual Context / Raymond J. Mooney |
| The Role of Hierarchies in Exploratory Data Mining / Raghu Ramakrishnan |
| Machine Learning Journal Abstracts |
| Rollout Sampling Approximate Policy Iteration / Christos Dimitrakakis ; Michail G. Lagoudakis |
| New Closed-Form Bounds on the Partition Function / Krishnamurthy Dvijotham ; Soumen Chakrabarti ; Subhasis Chaudhuri |
| Large Margin vs. Large Volume in Transductive Learning / Ran El-Yaniv ; Dmitry Pechyony ; Vladimir Vapnik |
| Incremental Exemplar Learning Schemes for Classification on Embedded Devices / Ankur Jain ; Daniel Nikovski |
| A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity / Heng Luo ; Changyong Niu ; Ruimin Shen ; Carsten Ullrich |
| A Critical Analysis of Variants of the AUC / Stijn Vanderlooy ; Eyke Hullermeier |
| Improving Maximum Margin Matrix Factorization / Markus Weimer ; Alexandros Karatzoglou ; Alex Smola |
| Data Mining and Knowledge Discovery Journal Abstracts |
| Finding Reliable Subgraphs from Large Probabilistic Graphs / Petteri Hintsanen ; Hannu Toivonen |
| A Space Efficient Solution to the Frequent String Mining Problem for Many Databases / Adrian Kugel ; Enno Ohlebusch |
| The Boolean Column and Column-Row Matrix Decompositions / Pauli Miettinen |
| SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs / Apostolos N. Papadopoulos ; Apostolos Lyritsis ; Yannis Manolopoulos |
| Mining Conjunctive Sequential Patterns / Chedy Raissi ; Toon Calders ; Pascal Poncelet |
| Adequate Condensed Representations of Patterns / Arnaud Soulet ; Bruno Cremilleux |
| Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data / Jimeng Sun ; Charalampos E. Tsourakakis ; Evan Hoke ; Christos Faloutsos ; Tina Eliassi-Rad |
| Regular Papers |
| TOPTMH: Topology Predictor for Transmembrane [alpha]-Helices / Rezwan Ahmed ; Huzefa Rangwala ; George Karypis |
| Learning to Predict One or More Ranks in Ordinal Regression Tasks / Jaime Alonso ; Juan Jose del Coz ; Jorge Diez ; Oscar Luaces ; Antonio Bahamonde |
| Cascade RSVM in Peer-to-Peer Networks / Hock Hee Ang ; Vivekanand Gopalkrishnan ; Steven C.H. Hoi ; Wee Keong Ng |
| An Algorithm for Transfer Learning in a Heterogeneous Environment / Andreas Argyriou ; Andreas Maurer ; Massimiliano Pontil |
| Minimum-Size Bases of Association Rules / Jose L. Balcazar |
| Combining Classifiers through Triplet-Based Belief Functions / Yaxin Bi ; Shengli Wu ; Xuhui Shen ; Pan Xiong |
| An Improved Multi-task Learning Approach with Applications in Medical Diagnosis / Jinbo Bi ; Tao Xiong ; Shipeng Yu ; Murat Dundar ; R. Bharat Rao |
| Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis / Matthew B. Blaschko ; Christoph H. Lampert ; Arthur Gretton |
| Sequence Labelling SVMs Trained in One Pass / Antoine Bordes ; Nicolas Usunier ; Leon Bottou |
| Semi-supervised Classification from Discriminative Random Walks / Jerome Callut ; Kevin Francoisse ; Marco Saerens ; Pierre Dupont |
| Learning Bidirectional Similarity for Collaborative Filtering / Bin Cao ; Jian-Tao Sun ; Jianmin Wu ; Qiang Yang ; Zheng Chen |
| Bootstrapping Information Extraction from Semi-structured Web Pages / Andrew Carlson ; Charles Schafer |
| Online Multiagent Learning against Memory Bounded Adversaries / Doran Chakraborty ; Peter Stone |
| Scalable Feature Selection for Multi-class Problems / Boris Chidlovskii ; Loic Lecerf |
| Learning Decision Trees for Unbalanced Data / David A. Cieslak ; Nitesh V. Chawla |
| Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities / Giorgio Corani ; Marco Zaffalon |
| A Fast Method for Training Linear SVM in the Primal / Trinh-Minh-Tri Do ; Thierry Artieres |
| On the Equivalence of the SMO and MDM Algorithms for SVM Training / Jorge Lopez ; Alvaro Barbero ; Jose R. Dorronsoro |
| Nearest Neighbour Classification with Monotonicity Constraints / Wouter Duivesteijn ; Ad Feelders |
| Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer / Eric Eaton ; Marie desJardins ; Terran Lane |
| Mining Edge-Weighted Call Graphs to Localise Software Bugs / Frank Eichinger ; Klemens Bohm ; Matthias Huber |
| Hierarchical Distance-Based Conceptual Clustering / Ana Maria Funes ; Cesar Ferri ; Jose Hernandez-Orallo ; Maria Jose Ramirez-Quintana |
| Mining Frequent Connected Subgraphs Reducing the Number of Candidates / Andres Gago Alonso ; Jose Eladio Medina Pagola ; Jesus Ariel Carrasco-Ochoa ; Jose Fco. Martinez-Trinidad |
| Unsupervised Riemannian Clustering of Probability Density Functions / Alvina Goh ; Rene Vidal |
| Online Manifold Regularization: A New Learning Setting and Empirical Study / Andrew B. Goldberg ; Ming Li ; Xiaojin Zhu |
| A Fast Algorithm to Find Overlapping Communities in Networks / Steve Gregory |
| A Case Study in Sequential Pattern Mining for IT-Operational Risk / Valerio Grossi ; Andrea Romei ; Salvatore Ruggieri |
| Tight Optimistic Estimates for Fast Subgroup Discovery / Henrik Grosskreutz ; Stefan Ruping ; Stefan Wrobel |
| Watch, Listen & Learn: Co-training on Captioned Images and Videos / Sonal Gupta ; Joohyun Kim ; Kristen Grauman ; Raymond Mooney |
| Parameter Learning in Probabilistic Databases: A Least Squares Approach / Bernd Gutmann ; Angelika Kimmig ; Kristian Kersting ; Luc De Raedt |
| Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics / Md. Rafiul Hassan ; M. Maruf Hossain ; James Bailey ; Kotagiri Ramamohanarao |
| One-Class Classification by Combining Density and Class Probability Estimation / Kathryn Hempstalk ; Eibe Frank ; Ian H. Witten |
| Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth / Tamas Horvath ; Jan Ramon |
| Proper Model Selection with Significance Test / Jin Huang ; Charles X. Ling ; Harry Zhang ; Stan Matwin |
| A Projection-Based Framework for Classifier Performance Evaluation / Nathalie Japkowicz ; Pritika Sanghi ; Peter Tischer |
| Distortion-Free Nonlinear Dimensionality Reduction / Yangqing Jia ; Zheng Wang ; Changshui Zhang |
| Learning with L[subscript q<1] vs L[subscript 1]-Norm Regularisation with Exponentially Many Irrelevant Features / Ata Kaban ; Robert J. Durrant |
| Catenary Support Vector Machines / Kin Fai Kan ; Christian R. Shelton |
| Exact and Approximate Inference for Annotating Graphs with Structural SVMs / Thoralf Klein ; Ulf Brefeld ; Tobias Scheffer |
| Extracting Semantic Networks from Text Via Relational Clustering / Stanley Kok ; Pedro Domingos |
| Ranking the Uniformity of Interval Pairs / Jussi Kujala ; Tapio Elomaa |
| Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs / Lior Kuyer ; Shimon Whiteson ; Bram Bakker ; Nikos Vlassis |
| StreamKrimp: Detecting Change in Data Streams / Matthijs van Leeuwen ; Arno Siebes |
| Author Index |
| Invited Talks (Abstracts) |
| Industrializing Data Mining, Challenges and Perspectives / Francoise Fogelman-Soulie |
| From Microscopy Images to Models of Cellular Processes / Yoav Freund |
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