Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II (Lecture Notes in Computer Science (7524))

This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning. Front Matter....Pages - AUDIO : An Integrity $\underline{Audi}$ ting Framework of $\underline{O}$ utlier-Mining-as-a-Service Systems....Pages 1-18 Differentially Private Projected Histograms: Construction and Use for Prediction....Pages 19-34 Fairness-Aware Classifier with Prejudice Remover Regularizer....Pages 35-50 A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com....Pages 51-66 Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit Feedback....Pages 67-82 Probability Estimation for Multi-class Classification Based on Label Ranking....Pages 83-98 Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery....Pages 99-115 APRIL: Active Preference Learning-Based Reinforcement Learning....Pages 116-131 Autonomous Data-Driven Decision-Making in Smart Electricity Markets....Pages 132-147 Bayesian Nonparametric Inverse Reinforcement Learning....Pages 148-163 Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic....Pages 164-179 Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization....Pages 180-194 Learning Policies for Battery Usage Optimization in Electric Vehicles....Pages 195-210 Policy Iteration Based on a Learned Transition Model....Pages 211-226 Structured Apprenticeship Learning....Pages 227-242 A Bayesian Approach for Classification Rule Mining in Quantitative Databases....Pages 243-259 A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules....Pages 260-276 Generic Pattern Trees for Exhaustive Exceptional Model Mining....Pages 277-292 Bidirectional Semi-supervised Learning with Graphs....Pages 293-306 Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction....Pages 307-322 Graph-Based Transduction with Confidence....Pages 323-338 Maximum Consistency Preferential Random Walks....Pages 339-354 Semi-supervised Multi-label Classification....Pages 355-370 MDL-Based Analysis of Time Series at Multiple Time-Scales....Pages 371-386 Separable Approximate Optimization of Support Vector Machines for Distributed Sensing....Pages 387-402 Unsupervised Inference of Auditory Attention from Biosensors....Pages 403-418 A Family of Feed-Forward Models for Protein Sequence Classification....Pages 419-434 General Algorithms for Mining Closed Flexible Patterns under Various Equivalence Relations....Pages 435-450 Size Matters: Finding the Most Informative Set of Window Lengths....Pages 451-466 Discovering Links among Social Networks....Pages 467-482 Efficient Bi-objective Team Formation in Social Networks....Pages 483-498 Feature-Enhanced Probabilistic Models for Diffusion Network Inference....Pages 499-514 Influence Spread in Large-Scale Social Networks – A Belief Propagation Approach....Pages 515-530 Location Affiliation Networks: Bonding Social and Spatial Information....Pages 531-547 On Approximation of Real-World Influence Spread....Pages 548-564 Opinion Formation by Voter Model with Temporal Decay Dynamics....Pages 565-580 Viral Marketing for Product Cross-Sell through Social Networks....Pages 581-596 Which Topic Will You Follow?....Pages 597-612 Inferring Geographic Coincidence in Ephemeral Social Networks....Pages 613-628 Pedestrian Quantity Estimation with Trajectory Patterns....Pages 629-643 Socioscope: Spatio-temporal Signal Recovery from Social Media....Pages 644-659 A Framework for Evaluating the Smoothness of Data-Mining Results....Pages 660-675 Active Evaluation of Ranking Functions Based on Graded Relevance....Pages 676-691 Community Trend Outlier Detection Using Soft Temporal Pattern Mining....Pages 692-708 Data Structures for Detecting Rare Variations in Time Series....Pages 709-724 Invariant Time-Series Classification....Pages 725-740 Learning Bi-clustered Vector Autoregressive Models....Pages 741-756 Discriminative Factor Alignment across Heterogeneous Feature Space....Pages 757-772 Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars....Pages 773-788 Transfer Spectral Clustering....Pages 789-803 An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers....Pages 804-807 Association Rule Mining Following the Web Search Paradigm....Pages 808-811 ASV Monitor: Creating Comparability of Machine Learning Methods for Content Analysis....Pages 812-815 ClowdFlows: A Cloud Based Scientific Workflow Platform....Pages 816-819 Extracting Trajectories through an Efficient and Unifying Spatio-temporal Pattern Mining System....Pages 820-823 Knowledge Discovery through Symbolic Regression with HeuristicLab....Pages 824-827 OutRules : A Framework for Outlier Descriptions in Multiple Context Spaces....Pages 828-832 Scientific Workflow Management with ADAMS....Pages 833-837 TopicExplorer: Exploring Document Collections with Topic Models....Pages 838-841 VIKAMINE – Open-Source Subgroup Discovery, Pattern Mining, and Analytics....Pages 842-845 Learning Submodular Functions....Pages 846-849 Matrix Factorization as Search....Pages 850-853 Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy....Pages 854-857 Modelling Input Varying Correlations between Multiple Responses....Pages 858-861 Back Matter....Pages -