ECML-PKDD 2008

110 papers

A Case Study in Sequential Pattern Mining for IT-Operational Risk Valerio Grossi, Andrea Romei, Salvatore Ruggieri

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 Hüllermeier

A Fast Algorithm to Find Overlapping Communities in Networks Steve Gregory

A Fast Method for Training Linear SVM in the Primal Trinh Minh Tri Do, Thierry Artières

A Genetic Algorithm for Text Classification Rule Induction Adriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu

A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong Wu

A Joint Topic and Perspective Model for Ideological Discourse Wei-Hao Lin, Eric P. Xing, Alexander G. Hauptmann

A Knowledge-Based Digital Dashboard for Higher Learning Institutions Wan Maseri Binti Wan Mohd, Abdullah Embong, Jasni Mohamad Zain

A New Natural Policy Gradient by Stationary Distribution Metric Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya

A Novel Scalable and Data Efficient Feature Subset Selection Algorithm Sergio Rodrigues de Morais, Alex Aussem

A Projection-Based Framework for Classifier Performance Evaluation Nathalie Japkowicz, Pritika Sanghi, Peter E. Tischer

A Simple Model for Sequences of Relational State Descriptions Ingo Thon, Niels Landwehr, Luc De Raedt

A Space Efficient Solution to the Frequent String Mining Problem for Many Databases Adrian Kügel, Enno Ohlebusch

A Unified View of Matrix Factorization Models Ajit Paul Singh, Geoffrey J. Gordon

A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains Rocío Alaíz-Rodríguez, Nathalie Japkowicz, Peter E. Tischer

Actively Transfer Domain Knowledge Xiaoxiao Shi, Wei Fan, Jiangtao Ren

Adequate Condensed Representations of Patterns Arnaud Soulet, Bruno Crémilleux

An Algorithm for Transfer Learning in a Heterogeneous Environment Andreas Argyriou, Andreas Maurer, Massimiliano Pontil

An Improved Multi-Task Learning Approach with Applications in Medical Diagnosis Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao

Assessing Nonlinear Granger Causality from Multivariate Time Series Xiaohai Sun

Bootstrapping Information Extraction from Semi-Structured Web Pages Andrew Carlson, Charles Schafer

Cascade RSVM in Peer-to-Peer Networks Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng

Catenary Support Vector Machines Kin Fai Kan, Christian R. Shelton

Classification of Multi-Labeled Data: A Generative Approach Andreas P. Streich, Joachim M. Buhmann

Client-Friendly Classification over Random Hyperplane Hashes Shyamsundar Rajaram, Martin Scholz

Clustering Distributed Sensor Data Streams Pedro Pereira Rodrigues, João Gama, Luís M. B. Lopes

Clustering via Local Regression Jun Sun, Zhiyong Shen, Hui Li, Yi-Dong Shen

Combining Classifiers Through Triplet-Based Belief Functions Yaxin Bi, Shengli Wu, Xuhui Shen, Pan Xiong

Continuous Time Bayesian Networks for Host Level Network Intrusion Detection Jing Xu, Christian R. Shelton

Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities Giorgio Corani, Marco Zaffalon

Data Clustering: 50 Years Beyond K-Means Anil K. Jain

Data Streaming with Affinity Propagation Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag

Decomposable Families of Itemsets Nikolaj Tatti, Hannes Heikinheimo

Distortion-Free Nonlinear Dimensionality Reduction Yangqing Jia, Zheng Wang, Changshui Zhang

Distribution-Free Learning of Bayesian Network Structure Xiaohai Sun

Effective Pruning Techniques for Mining Quasi-Cliques Guimei Liu, Limsoon Wong

Effective Visualization of Information Diffusion Process over Complex Networks Kazumi Saito, Masahiro Kimura, Hiroshi Motoda

Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth Tamás Horváth, Jan Ramon

Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain Eneldo Loza Mencía, Johannes Fürnkranz

Estimating Sales Opportunity Using Similarity-Based Methods Sholom M. Weiss, Nitin Indurkhya

Exact and Approximate Inference for Annotating Graphs with Structural SVMs Thoralf Klein, Ulf Brefeld, Tobias Scheffer

Exceptional Model Mining Dennis Leman, Ad Feelders, Arno J. Knobbe

Extracting Semantic Networks from Text via Relational Clustering Stanley Kok, Pedro M. Domingos

Finding Reliable Subgraphs from Large Probabilistic Graphs Petteri Hintsanen, Hannu Toivonen

Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs Francisco S. Melo, Manuel Lopes

From Microscopy Images to Models of Cellular Processes Yoav Freund

Hierarchical Distance-Based Conceptual Clustering Ana Maria Funes, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana

Hierarchical, Parameter-Free Community Discovery Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu

Improving Classification with Pairwise Constraints: A Margin-Based Approach Nam Nguyen, Rich Caruana

Improving K-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics Md. Rafiul Hassan, M. Maruf Hossain, James Bailey, Kotagiri Ramamohanarao

Improving Maximum Margin Matrix Factorization Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola

Incremental Exemplar Learning Schemes for Classification on Embedded Devices Ankur Jain, Daniel Nikovski

Industrializing Data Mining, Challenges and Perspectives Françoise Fogelman-Soulié

Kernel-Based Inductive Transfer Ulrich Rückert, Stefan Kramer

Large Margin vs. Large Volume in Transductive Learning Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik

Large-Scale Clustering Through Functional Embedding Frédéric Ratle, Jason Weston, Matthew L. Miller

Learning Bidirectional Similarity for Collaborative Filtering Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen

Learning Decision Trees for Unbalanced Data David A. Cieslak, Nitesh V. Chawla

Learning Language from Its Perceptual Context Raymond J. Mooney

Learning MDP Action Models via Discrete Mixture Trees Michael Wynkoop, Thomas G. Dietterich

Learning to Predict One or More Ranks in Ordinal Regression Tasks Jaime Alonso, Juan José del Coz, Jorge Díez, Oscar Luaces, Antonio Bahamonde

Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features Ata Kabán, Robert J. Durrant

Metric Learning: A Support Vector Approach Nam Nguyen, Yunsong Guo

Minimum-Size Bases of Association Rules José L. Balcázar

Mining Conjunctive Sequential Patterns Chedy Raïssi, Toon Calders, Pascal Poncelet

Mining Edge-Weighted Call Graphs to Localise Software Bugs Frank Eichinger, Klemens Böhm, Matthias Huber

Mining Frequent Connected Subgraphs Reducing the Number of Candidates Andrés Gago Alonso, José Eladio Medina-Pagola, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad

Mixed Bregman Clustering with Approximation Guarantees Richard Nock, Panu Luosto, Jyrki Kivinen

Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer Eric Eaton, Marie desJardins, Terran Lane

Monitoring Patterns Through an Integrated Management and Mining Tool Evangelos E. Kotsifakos, Irene Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis

Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos Vlassis

Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model Xiaoxia Wang, Peter Tiño, Mark A. Fardal

Nearest Neighbour Classification with Monotonicity Constraints Wouter Duivesteijn, Ad Feelders

New Closed-Form Bounds on the Partition Function Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri

Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness Christian Plagemann, Kristian Kersting, Wolfram Burgard

On the Equivalence of the SMO and MDM Algorithms for SVM Training Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro

One-Class Classification by Combining Density and Class Probability Estimation Kathryn Hempstalk, Eibe Frank, Ian H. Witten

Online Manifold Regularization: A New Learning Setting and Empirical Study Andrew B. Goldberg, Ming Li, Xiaojin Zhu

Online Multiagent Learning Against Memory Bounded Adversaries Doran Chakraborty, Peter Stone

Parallel Spectral Clustering Yangqiu Song, WenYen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang

Parameter Learning in Probabilistic Databases: A Least Squares Approach Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt

Pleiades: Subspace Clustering and Evaluation Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl

Pool-Based Agnostic Experiment Design in Linear Regression Masashi Sugiyama, Shinichi Nakajima

Proper Model Selection with Significance Test Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin

Ranking the Uniformity of Interval Pairs Jussi Kujala, Tapio Elomaa

Robust Feature Selection Using Ensemble Feature Selection Techniques Yvan Saeys, Thomas Abeel, Yves Van de Peer

Rollout Sampling Approximate Policy Iteration Christos Dimitrakakis, Michail G. Lagoudakis

Scalable Feature Selection for Multi-Class Problems Boris Chidlovskii, Loïc Lecerf

SEDiL: Software for Edit Distance Learning Laurent Boyer, Yann Esposito, Amaury Habrard, José Oncina, Marc Sebban

Semi-Supervised Boosting for Multi-Class Classification Hamed Valizadegan, Rong Jin, Anil K. Jain

Semi-Supervised Classification from Discriminative Random Walks Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont

Semi-Supervised Discriminant Analysis via CCCP Yu Zhang, Dit-Yan Yeung

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, Léon Bottou

SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model Jörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer

SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs Apostolos N. Papadopoulos, Apostolos Lyritsis, Yannis Manolopoulos

State-Dependent Exploration for Policy Gradient Methods Thomas Rückstieß, Martin Felder, Jürgen Schmidhuber

StreamKrimp: Detecting Change in Data Streams Matthijs van Leeuwen, Arno Siebes

Support Vector Machines, Data Reduction, and Approximate Kernel Matrices XuanLong Nguyen, Ling Huang, Anthony D. Joseph

The Boolean Column and Column-Row Matrix Decompositions Pauli Miettinen

The Role of Hierarchies in Exploratory Data Mining Raghu Ramakrishnan

Tight Optimistic Estimates for Fast Subgroup Discovery Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel

TOPTMH: Topology Predictor for Transmembrane Alpha-Helices Rezwan Ahmed, Huzefa Rangwala, George Karypis

Towards Machine Learning of Grammars and Compilers of Programming Languages Keita Imada, Katsuhiko Nakamura

Transferred Dimensionality Reduction Zheng Wang, Yangqiu Song, Changshui Zhang

Transferring Instances for Model-Based Reinforcement Learning Matthew E. Taylor, Nicholas K. Jong, Peter Stone

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

Unsupervised Riemannian Clustering of Probability Density Functions Alvina Goh, René Vidal

Watch, Listen & Learn: Co-Training on Captioned Images and Videos Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond J. Mooney