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図書

図書
Bart Goethals, Arno Siebes (eds.)
出版情報: Berlin : Springer, c2005  vi, 189 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 3377
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2.

電子ブック

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Bart Goethals, Association for Computing Machinery-Digital Library.
出版情報: ACM Digital Library Proceedings , ACM
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3.

電子ブック

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Bart Goethals, Association for Computing Machinery-Digital Library.
出版情報: ACM Digital Library Proceedings , ACM
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4.

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SaÅ¡o DÅ〓eroski, Saso Dzeroski, Bart Goethals
出版情報: Springer eBooks Computer Science , Springer New York, 2010
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Introduction / Part I:
Inductive Databases and Constraint-based Data Mining: Introduction and Overview / Sašo Dzeroski1:
Inductive Databases / 1.1:
Constraint-based Data Mining / 1.2:
Types of Constraints / 1.3:
Functions Used in Constraints / 1.4:
KDD Scenarios / 1.5:
A Brief Review of Literature Resources / 1.6:
The IQ (Inductive Queries for Mining Patterns and Models) Project / 1.7:
What's in this Book / 1.8:
Representing Entities in the OntoDM Data Mining Ontology / Pance Panov ; Larisa N. Soldatova ; Sasšo Dzeroski2:
Design Principles for the OntoDM ontology / 2.1:
OntoDM Structure and Implementation / 2.3:
Identification of Data Mining Entities / 2.4:
Representing Data Mining Enitities in OntoDM / 2.5:
Related Work / 2.6:
Conclusion / 2.7:
A Practical Comparative Study Of Data Mining Query Languages / Hendrik Blockeel ; Toon Calders ; Élisa Fromont ; Bart Goethals ; Adriana Prado ; Céline Robardet3:
Data Mining Tasks / 3.1:
Comparison of Data Mining Query Languages / 3.3:
Summary of the Results / 3.4:
Conclusions / 3.5:
A Theory of Inductive Query Answering / Luc De Raedt ; Manfred Jaeger ; Sau Dan Lee ; Heikki Mannila4:
Boolean Inductive Queries / 4.1:
Generalized Version Spaces / 4.3:
Query Decomposition / 4.4:
Normal Forms / 4.5:
Constraint-based Mining: Selected Techniques / 4.6:
Generalizing Itemset Mining in a Constraint Programming Setting / Jérémy Besson ; Jean-François Boulicaut ; Tias Guns ; Siegfried Nijssen5:
General Concepts / 5.1:
Specialized Approaches / 5.3:
A Generalized Algorithm / 5.4:
A Dedicated Solver / 5.5:
Using Constraint Programming Systems / 5.6:
From Local Patterns to Classification Models / Björn Bringmann ; Albrecht Zimmermann5.7:
Preliminaries / 6.1:
Correlated Patterns / 6.3:
Finding Pattern Sets / 6.4:
Direct Predictions from Patterns / 6.5:
Integrated Pattern Mining / 6.6:
Constrained Predictive Clustering / Jan Struyf6.7:
Predictive Clustering Trees / 7.1:
Constrained Predictive Clustering Trees and Constraint Types / 7.3:
A Search Space of (Predictive) Clustering Trees / 7.4:
Algorithms for Enforcing Constraints / 7.5:
Finding Segmentations of Sequences / Ella Bingham7.6:
Efficient Algorithms for Segmentation / 8.1:
Dimensionality Reduction / 8.3:
Recurrent Models / 8.4:
Unimodal Segmentation / 8.5:
Rearranging the Input Data Points / 8.6:
Aggregate Segmentation / 8.7:
Evaluating the Quality of a Segmentation: Randomization / 8.8:
Model Selection by BIC and Cross-validation / 8.9:
Bursty Sequences / 8.10:
Mining Constrained Cross-Graph Cliques in Dynamic Networks / Loïc Cerf ; Bao Tran Nhan Nguyen8.11:
Problem Setting / 9.1:
DATA-PEELER / 9.3:
Extracting δ-Contiguous Closed 3-Sets / 9.4:
Constraining the Enumeration to Extract 3-Cliques / 9.5:
Experimental Results / 9.6:
Probabilistic Inductive Querying Using ProbLog / Angelika Kimmig ; Bernd Gutmann ; Kristian Kersting ; Vítor Santos Costa ; Hannu Toivonen9.7:
ProbLog: Probabilistic Prolog / 10.1:
Probabilistic Inference / 10.3:
Implementation / 10.4:
Probabilistic Explanation Based Learning / 10.5:
Local Pattern Mining / 10.6:
Theory Compression / 10.7:
Parameter Estimation / 10.8:
Application / 10.9:
Related Work in Statistical Relational Learning / 10.10:
Inductive Databases: Integration Approaches / 10.11:
Inductive Querying with Virtual Mining Views / 11:
The Mining Views Framework / 11.1:
An Illustrative Scenario / 11.3:
Conclusions and Future Work / 11.4:
SINDBAD and SiQL: Overview, Applications and Future Developments / Jörg Wicker ; Lothar Richter ; Stefan Kramer12:
SiQL / 12.1:
Example Applications / 12.3:
A Web Service Interface for SINDBAD / 12.4:
Future Developments / 12.5:
Patterns on Queries / Arno Siebes ; Diyah Puspitaningrum12.6:
Frequent Item Set Mining / 13.1:
Transforming KRIMP / 13.4:
Comparing the two Approaches / 13.5:
Conclusions and Prospects for Further Research / 13.6:
Experiment Databases / Joaquin Vanschoren14:
Motivation / 14.1:
A Pilot Experiment Database / 14.3:
Learning from the Past / 14.5:
Applications / 14.6:
Predicting Gene Function using Predictive Clustering Trees / Celine Vens ; Leander Schietgat ; Dragi Kocev15:
Predictive Clustering Tree Approaches for HMC / 15.1:
Evaluation Measure / 15.4:
Datasets / 15.5:
Comparison of Clus-HMC/SC/HSC / 15.6:
Comparison of (Ensembles of) CLUS-HMC to State-of-the-art Methods / 15.7:
Analyzing Gene Expression Data with Predictive Clustering Trees / Ivica Slavkov15.8:
Predicting Multiple Clinical Parameters / 16.1:
Evaluating Gene Importance with Ensembles of PCTs / 16.4:
Constrained Clustering of Gene Expression Data / 16.5:
Clustering gene expression time series data / 16.6:
Using a Solver Over the String Pattern Domain to Analyze Gene Promoter Sequences / Christophe Rigotti ; Ieva Mitašiunaité ; Laurène Meyniel ; Olivier Gandrillon16.7:
A Promoter Sequence Analysis Scenario / 17.1:
The Marguerite Solver / 17.3:
Tuning the Extraction Parameters / 17.4:
An Objective Interestingness Measure / 17.5:
Execution of the Scenario / 17.6:
Inductive Queries for a Drug Designing Robot Scientist / Ross D. King ; Amanda Schierz ; Amanda Clare ; Jem Rowland ; Andrew Sparkes ; Jan Ramon17.7:
The Robot Scientist Eve / 18.1:
Representations of Molecular Data / 18.3:
Selecting Compounds for a Drug Screening Library / 18.4:
Active learning / 18.5:
Appendix / 18.6:
Author index
Introduction / Part I:
Inductive Databases and Constraint-based Data Mining: Introduction and Overview / Sašo Dzeroski1:
Inductive Databases / 1.1:
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KDID 2004, Bart Goethals, Takeo Kanade, Arno Siebes
出版情報: Springer eBooks Computer Science , Springer Berlin / Heidelberg, 2005
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Walter Daelemans, Bart Goethals, Katharina Morik, Jörg Siekmann
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2008
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Regular Papers
Exceptional Model Mining / Dennis Leman ; Ad Feelders ; Arno Knobbe
A Joint Topic and Perspective Model for Ideological Discourse / Wei-Hao Lin ; Eric Xing ; Alexander Hauptmann
Effective Pruning Techniques for Mining Quasi-Cliques / Guimei Liu ; Limsoon Wong
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain / Eneldo Loza Mencia ; Johannes Furnkranz
Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs / Francisco S. Melo ; Manuel Lopes
A New Natural Policy Gradient by Stationary Distribution Metric / Tetsuro Morimura ; Eiji Uchibe ; Junichiro Yoshimoto ; Kenji Doya
Towards Machine Learning of Grammars and Compilers of Programming Languages / Keita Imada ; Katsuhiko Nakamura
Improving Classification with Pairwise Constraints: A Margin-Based Approach / Nam Nguyen ; Rich Caruana
Metric Learning: A Support Vector Approach / Yunsong Guo
Support Vector Machines, Data Reduction, and Approximate Kernel Matrices / XuanLong Nguyen ; Ling Huang ; Anthony D. Joseph
Mixed Bregman Clustering with Approximation Guarantees / Richard Nock ; Panu Luosto ; Jyrki Kivinen
Hierarchical, Parameter-Free Community Discovery / Spiros Papadimitriou ; Jimeng Sun ; Christos Faloutsos ; Philip S. Yu
A Genetic Algorithm for Text Classification Rule Induction / Adriana Pietramala ; Veronica L. Policicchio ; Pasquale Rullo ; Inderbir Sidhu
Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness / Christian Plagemann ; Kristian Kersting ; Wolfram Burgard
Kernel-Based Inductive Transfer / Ulrich Ruckert ; Stefan Kramer
State-Dependent Exploration for Policy Gradient Methods / Thomas Ruckstiess ; Martin Felder ; Jurgen Schmidhuber
Client-Friendly Classification over Random Hyperplane Hashes / Shyamsundar Rajaram ; Martin Scholz
Large-Scale Clustering through Functional Embedding / Frederic Ratle ; Jason Weston ; Matthew L. Miller
Clustering Distributed Sensor Data Streams / Pedro Pereira Rodrigues ; Joao Gama ; Luis Lopes
A Novel Scalable and Data Efficient Feature Subset Selection Algorithm / Sergio Rodrigues de Morais ; Alex Aussem
Robust Feature Selection Using Ensemble Feature Selection Techniques / Yvan Saeys ; Thomas Abeel ; Yves Van de Peer
Effective Visualization of Information Diffusion Process over Complex Networks / Kazumi Saito ; Masahiro Kimura ; Hiroshi Motoda
Actively Transfer Domain Knowledge / Xiaoxiao Shi ; Wei Fan ; Jiangtao Ren
A Unified View of Matrix Factorization Models / Ajit P. Singh ; Geoffrey J. Gordon
Parallel Spectral Clustering / Yangqiu Song ; Wen-Yen Chen ; Hongjie Bai ; Chih-Jen Lin ; Edward Y. Chang
Classification of Multi-labeled Data: A Generative Approach / Andreas P. Streich ; Joachim M. Buhmann
Pool-Based Agnostic Experiment Design in Linear Regression / Masashi Sugiyama ; Shinichi Nakajima
Distribution-Free Learning of Bayesian Network Structure / Xiaohai Sun
Assessing Nonlinear Granger Causality from Multivariate Time Series
Clustering Via Local Regression / Jun Sun ; Zhiyong Shen ; Hui Li ; Yidong Shen
Decomposable Families of Itemsets / Nikolaj Tatti ; Hannes Heikinheimo
Transferring Instances for Model-Based Reinforcement Learning / Matthew E. Taylor ; Nicholas K. Jong ; Peter Stone
A Simple Model for Sequences of Relational State Descriptions / Ingo Thon ; Niels Landwehr ; Luc De Raedt
Semi-supervised Boosting for Multi-Class Classification / Hamed Valizadegan ; Rong Jin ; Anil K. Jain
A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis / Xinhao Wang ; Jiazhong Nie ; Dingsheng Luo ; Xihong Wu
Transferred Dimensionality Reduction / Zheng Wang ; Changshui Zhang
Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model / Xiaoxia Wang ; Peter Tino ; Mark A. Fardal
Estimating Sales Opportunity Using Similarity-Based Methods / Sholom M. Weiss ; Nitin Indurkhya
Learning MDP Action Models Via Discrete Mixture Trees / Michael Wynkoop ; Thomas Dietterich
Continuous Time Bayesian Networks for Host Level Network Intrusion Detection / Jing Xu ; Christian R. Shelton
Data Streaming with Affinity Propagation / Xiangliang Zhang ; Cyril Furtlehner ; Michele Sebag
Semi-supervised Discriminant Analysis Via CCCP / Yu Zhang ; Dit-Yan Yeung
Demo Papers
A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains / Rocio Alaiz-Rodriguez ; Nathalie Japkowicz ; Peter Tischer
Pleiades: Subspace Clustering and Evaluation / Ira Assent ; Emmanuel Muller ; Ralph Krieger ; Timm Jansen ; Thomas Seidl
SEDiL: Software for Edit Distance Learning / Laurent Boyer ; Yann Esposito ; Amaury Habrard ; Jose Oncina ; Marc Sebban
Monitoring Patterns through an Integrated Management and Mining Tool / Evangelos E. Kotsifakos ; Irene Ntoutsi ; Yannis Vrahoritis ; Yannis Theodoridis
A Knowledge-Based Digital Dashboard for Higher Learning Institutions / Wan Maseri Binti Wan Mohd ; Abdullah Embong ; Jasni Mohd Zain
SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model / Jorg Wicker ; Lothar Richter ; Kristina Kessler
Author Index
Regular Papers
Exceptional Model Mining / Dennis Leman ; Ad Feelders ; Arno Knobbe
A Joint Topic and Perspective Model for Ideological Discourse / Wei-Hao Lin ; Eric Xing ; Alexander Hauptmann
7.

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Walter Daelemans, Bart Goethals, Katharina Morik, Jörg Siekmann
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2008
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目次情報: 続きを見る
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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