| Description |
1 online resource (xiii, 327 pages) : illustrations |
| Series |
Lecture notes in computer science ; 7569 |
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LNCS sublibrary: SL 7-Artificial intelligence |
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Lecture notes in computer science ; 7569.
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LNCS sublibrary. SL 7, Artificial intelligence.
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| Contents |
Invited Talks -- Declarative Modeling for Machine Learning and Data Mining / Luc De Raedt -- Recent Developments in Pattern Mining / Toon Calders -- Tutorial -- Exploring Sequential Data / Gilbert Ritschard -- Regular Papers -- Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers / Nguyen Lu Dang Khoa, Sanjay Chawla -- Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting / Pierre Alquier, Xiaoyin Li -- Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning / Francis Maes, Raphael Fonteneau, Louis Wehenkel, Damien Ernst -- Towards Finding Relational Redescriptions / Esther Galbrun, Angelika Kimmig -- Descriptive Modeling of Systemic Banking Crises / Dragan Gamberger, Dražen Lučanin, Tomislav Šmuc -- A Trim Distance between Positions in Nucleotide Sequences / Shunsuke Makino, Takaharu Shimada, Kouichi Hirata, Kouki Yonezawa, Kimihito Ito |
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Data Squashing for HSV Subimages by an Autonomous Mobile Robot / Einoshin Suzuki, Emi Matsumoto, Asuki Kouno -- Cohesive Co-evolution Patterns in Dynamic Attributed Graphs / Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut -- Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming / Rui Li, Stefan Kramer -- HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning / Bruno M. Nogueira, Alípio M. Jorge, Solange O. Rezende -- LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity / Bi-Ru Dai, Chih-Heng Chung -- Fast Approximation Algorithm for the 1-Median Problem / Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo -- Online Co-regularized Algorithms / Tom de Ruijter, Evgeni Tsivtsivadze, Tom Heskes -- Fast Progressive Training of Mixture Models for Model Selection / Prem Raj Adhikari, Jaakko Hollmén -- Including Spatial Relations and Scales within Sequential Pattern Extraction / Mickaël Fabrègue, Agnès Braud, Sandra Bringay, Florence Le Ber, Maguelonne Teisseire |
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Predicting Ramp Events with a Stream-Based HMM Framework / Carlos Abreu Ferreira, João Gama, Vítor Santos Costa, Vladimiro Miranda, Audun Botterud -- Burst Detection in a Sequence of Tweets Based on Information Diffusion Model / Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda -- Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction / Johannes Fürnkranz, Sang-Hyeun Park -- An Assessment on Loan Performance from Combined Quantitative and Qualitative Data in XML / Novita Ikasari, Fedja Hadzic -- Structural Change Pattern Mining Based on Constrained Maximal k-Plex Search / Yoshiaki Okubo, Makoto Haraguchi, Etsuji Tomita -- Enhancing Patent Expertise through Automatic Matching with Scientific Papers / Kafil Hajlaoui, Pascal Cuxac, Jean-Charles Lamirel, Claire François -- Soft Threshold Constraints for Pattern Mining / Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux |
| Summary |
This book constitutes the refereed proceedings of the 15th International Conference on Discovery Science, DS 2012, held in Lyon, France, in October 2012. The 22 papers presented in this volume were carefully reviewed and selected from 46 submissions. The field of discovery science aims at inducing and validating new scientific hypotheses from data. The scope of this conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, tools for supporting the human process of discovery in science, as well as their application to knowledge discovery |
| Bibliography |
Includes bibliographical references and author index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed March 20, 2013) |
| Subject |
Science -- Philosophy -- Congresses
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Discoveries in science -- Congresses
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Research -- Automation -- Congresses
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Machine learning -- Congresses
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Data mining -- Congresses
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Informatique.
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Data mining
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Discoveries in science
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Machine learning
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Research -- Automation
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Science -- Philosophy
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| Genre/Form |
Conference papers and proceedings
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Software.
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| Form |
Electronic book
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| Author |
Ganascia, Jean-Gabriel, editor.
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Lenca, Philippe, editor.
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Petit, Jean-Marc, editor.
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| ISBN |
9783642334924 |
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364233492X |
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3642334911 |
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9783642334917 |
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