| Description |
1 online resource (xxvi, 867 pages) : illustrations |
| Series |
Lecture notes in artificial intelligence ; 7524 |
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LNCS sublibrary. SL 7, Artificial intelligence |
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Lecture notes in computer science. Lecture notes in artificial intelligence ; 7524
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LNCS sublibrary. SL 7, Artificial intelligence.
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| Contents |
AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems / Ruilin Liu, Hui (Wendy) Wang, Anna Monreale, Dino Pedreschi and Fosca Giannotti, et al. -- Differentially Private Projected Histograms: Construction and Use for Prediction / Staal A. Vinterbo -- Fairness-Aware Classifier with Prejudice Remover Regularizer / Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh and Jun Sakuma -- A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com / Evan Kirshenbaum, George Forman and Michael Dugan -- Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit Feedback / Balázs Hidasi and Domonkos Tikk -- Probability Estimation for Multi-class Classification Based on Label Ranking / Weiwei Cheng and Eyke Hüllermeier -- Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery / N. Kemal Ure, Alborz Geramifard, Girish Chowdhary and Jonathan P. How -- APRIL: Active Preference Learning-Based Reinforcement Learning / Riad Akrour, Marc Schoenauer and Michèle Sebag |
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Autonomous Data-Driven Decision-Making in Smart Electricity Markets / Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky and John Collins -- Bayesian Nonparametric Inverse Reinforcement Learning / Bernard Michini and Jonathan P. How -- Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic / Truong-Huy Dinh Nguyen, Wee-Sun Lee and Tze-Yun Leong -- Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization / Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux and Patrick Gallinari -- Learning Policies for Battery Usage Optimization in Electric Vehicles / Stefano Ermon, Yexiang Xue, Carla Gomes and Bart Selman -- Policy Iteration Based on a Learned Transition Model / Vivek Ramavajjala and Charles Elkan -- Structured Apprenticeship Learning / Abdeslam Boularias, Oliver Krömer and Jan Peters -- A Bayesian Approach for Classification Rule Mining in Quantitative Databases / Dominique Gay and Marc Boullé -- A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules / Iyad Batal, Gregory Cooper and Milos Hauskrecht |
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Generic Pattern Trees for Exhaustive Exceptional Model Mining / Florian Lemmerich, Martin Becker and Martin Atzmueller -- Bidirectional Semi-supervised Learning with Graphs / Tomoharu Iwata and Kevin Duh -- Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction / Saurabh Verma and Estevam R. Hruschka Jr. -- Graph-Based Transduction with Confidence / Matan Orbach and Koby Crammer -- Maximum Consistency Preferential Random Walks / Deguang Kong and Chris Ding -- Semi-supervised Multi-label Classification / A Simultaneous Large-Margin, Subspace Learning Approach / Yuhong Guo and Dale Schuurmans -- MDL-Based Analysis of Time Series at Multiple Time-Scales / Ugo Vespier, Arno Knobbe, Siegfried Nijssen and Joaquin Vanschoren -- Separable Approximate Optimization of Support Vector Machines for Distributed Sensing / Sangkyun Lee, Marco Stolpe and Katharina Morik -- Unsupervised Inference of Auditory Attention from Biosensors / Melih Kandemir, Arto Klami, Akos Vetek and Samuel Kaski -- A Family of Feed-Forward Models for Protein Sequence Classification / Sam Blasiak, Huzefa Rangwala and Kathryn B. Laskey |
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General Algorithms for Mining Closed Flexible Patterns under Various Equivalence Relations / Tomohiro I, Yuki Enokuma, Hideo Bannai and Masayuki Takeda -- Size Matters: Finding the Most Informative Set of Window Lengths / Jefrey Lijffijt, Panagiotis Papapetrou and Kai Puolamäki -- Discovering Links among Social Networks / Francesco Buccafurri, Gianluca Lax, Antonino Nocera and Domenico Ursino -- Efficient Bi-objective Team Formation in Social Networks / Mehdi Kargar, Aijun An and Morteza Zihayat -- Feature-Enhanced Probabilistic Models for Diffusion Network Inference / Liaoruo Wang, Stefano Ermon and John E. Hopcroft -- Influence Spread in Large-Scale Social Networks -- A Belief Propagation Approach / Huy Nguyen and Rong Zheng -- Location Affiliation Networks: Bonding Social and Spatial Information / Konstantinos Pelechrinis and Prashant Krishnamurthy -- On Approximation of Real-World Influence Spread / Yu Yang, Enhong Chen, Qi Liu, Biao Xiang and Tong Xu, et al. -- Opinion Formation by Voter Model with Temporal Decay Dynamics / Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda |
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Viral Marketing for Product Cross-Sell through Social Networks / Ramasuri Narayanam and Amit A. Nanavati -- Which Topic Will You Follow? / Deqing Yang, Yanghua Xiao, Bo Xu, Hanghang Tong and Wei Wang, et al. -- Inferring Geographic Coincidence in Ephemeral Social Networks / Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang and Xia Wang, et al. -- Pedestrian Quantity Estimation with Trajectory Patterns / Thomas Liebig, Zhao Xu, Michael May and Stefan Wrobel -- Socioscope: Spatio-temporal Signal Recovery from Social Media / Jun-Ming Xu, Aniruddha Bhargava, Robert Nowak and Xiaojin Zhu -- A Framework for Evaluating the Smoothness of Data-Mining Results / Gaurav Misra, Behzad Golshan and Evimaria Terzi -- Active Evaluation of Ranking Functions Based on Graded Relevance / Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer and Niels Landwehr -- Community Trend Outlier Detection Using Soft Temporal Pattern Mining / Manish Gupta, Jing Gao, Yizhou Sun and Jiawei Han -- Data Structures for Detecting Rare Variations in Time Series / Caio Valentim, Eduardo S. Laber and David Sotelo |
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Invariant Time-Series Classification / Josif Grabocka, Alexandros Nanopoulos and Lars Schmidt-Thieme -- Learning Bi-clustered Vector Autoregressive Models / Tzu-Kuo Huang and Jeff Schneider -- Discriminative Factor Alignment across Heterogeneous Feature Space / Fangwei Hu, Tianqi Chen, Nathan N. Liu, Qiang Yang and Yong Yu -- Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars / Nan Li, William W. Cohen and Kenneth R. Koedinger -- Transfer Spectral Clustering / Wenhao Jiang and Fu-lai Chung -- An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers / Mus'ab Husaini, Ahmet Koçyiğit, Dilek Tapucu, Berrin Yanikoglu and Yücel Saygın -- Association Rule Mining Following the Web Search Paradigm / Radek Škrabal, Milan Šimůnek, Stanislav Vojíř, Andrej Hazucha and Tomáš Marek, et al. -- ASV Monitor: Creating Comparability of Machine Learning Methods for Content Analysis / Andreas Niekler, Patrick Jähnichen and Gerhard Heyer -- ClowdFlows: A Cloud Based Scientific Workflow Platform / Janez Kranjc, Vid Podpečan and Nada Lavrač |
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Extracting Trajectories through an Efficient and Unifying Spatio-temporal Pattern Mining System / Phan Nhat Hai, Dino Ienco, Pascal Poncelet and Maguelonne Teisseire -- Knowledge Discovery through Symbolic Regression with HeuristicLab / Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Beham and Andreas Scheibenpflug, et al. -- OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces / Emmanuel Müller, Fabian Keller, Sebastian Blanc and Klemens Böhm -- Scientific Workflow Management with ADAMS / Peter Reutemann and Joaquin Vanschoren -- TopicExplorer: Exploring Document Collections with Topic Models / Alexander Hinneburg, Rico Preiss and René Schröder -- VIKAMINE -- Open-Source Subgroup Discovery, Pattern Mining, and Analytics / Martin Atzmueller and Florian Lemmerich -- Learning Submodular Functions / Maria-Florina Balcan and Nicholas J.A. Harvey -- Matrix Factorization as Search / Kristian Kersting, Christian Bauckhage, Christian Thurau and Mirwaes Wahabzada -- Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy / Marco Lippi, Andrea Passerini, Marco Punta and Paolo Frasconi -- Modelling Input Varying Correlations between Multiple Responses / Andrew Gordon Wilson and Zoubin Ghahramani |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
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Print version record |
| In |
Springer eBooks |
| Subject |
Machine learning -- Congresses
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Data mining -- Congresses
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Artificial intelligence.
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Information storage and retrieval systems.
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Information retrieval.
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Data Mining
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Artificial Intelligence
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Electronic Data Processing
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Information Systems
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Information Storage and Retrieval
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information retrieval.
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artificial intelligence.
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Informatique.
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Data mining
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Machine learning
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Flach, Peter A.
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De Bie, Tijl.
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Cristianini, Nello.
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| ISBN |
9783642334863 |
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3642334865 |
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