Front matter
1-12
Multi-relational Data Mining, Using UML for ILP
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel and Daniël Van Der Wallen
13-23
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda
67-84
Basis of a Fuzzy Knowledge Discovery System
Maurice Bernadet
34-43
Confirmation Rule Sets
Dragan Gamberger and Nada Lavrač
261-270
Contribution of Dataset Reduction Techniques to Tree-Simplification and Knowledge Discovery
Marc Sebban and Richard Nock
69-84
Combining Multiple Models with Meta Decision Trees
Ljupčo Todorovski and Sašo Džeroski
65-74
Materialized Data Mining Views
Tadeusz Morzy, Marek Wojciechowski and Maciej Zakrzewicz
24-43
Approximation of Frequency Queries by Means of Free-Sets
Jean-François Boulicaut, Artur Bykowski and Christophe Rigotti
86-95
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control
C. Druet, D. Ernst and L. Wehenkel
107-140
Efficient Score-Based Learning of Equivalence Classes of Bayesian Networks
Paul Munteanu and Denis Cau
29-64
Quantifying the Resilience of Inductive Classification Algorithms
Melanie Hilario and Alexandros Kalousis
195-206
Bagging and Boosting with Dynamic Integration of Classifiers
Alexey Tsymbal and Seppo Puuronen
160-181
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information
Carlos Soares and Pavel B. Brazdil
141-148
Some Enhancements of Decision Tree Bagging
Pierre Geurts
148-158
Relative Unsupervised Discretization for Association Rule Mining
Marcus-Christopher Lud and Gerhard Widmer
341-376
Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today’s Approaches
Jochen Hipp, Ulrich Güntzer and Gholamreza Nakhaeizadeh
255-292
Unified Algorithm for Undirected Discovery of Exception Rules
Einoshin Suzuki and Jan M. Żytkow
1-8
Sampling Strategies for Targeting Rare Groups from a Bank Customer Database
J-H. Chauchat, R. Rakotomalala and D. Robert
191-200
Instance-Based Classification by Emerging Patterns
Jinyan Li1, Guozhu Dong and Kotagiri Ramamohanarao
161-193
Context-Based Similarity Measures for Categorical Databases
Gautam Das and Heikki Mannila
13-30
A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based Methods
Ngoc Binh Nguyen and Tu Bao Ho
227-238
Fast Feature Selection using Partial Correlation for Multi-valued Attributes
S. Lallich and R. Rakotomalala
85-120
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
Markus M. Breunig, Hans-Peter Kriegel and Jörg Sander
125-161
Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up
Demonstrated for Center-Based Data Clustering Algorithms
Bin Zhang, Meichun Hsu and George Forman
182-211
Predictive Performance of Weighted Relative Accuracy
Ljupčo Todorovski, Peter Flach and Nada Lavrač
265-276
Quality Scheme Assessment in the Clustering Process
M. Halkidi, M. Vazirgiannis and Y. Batistakis
157-166
Algorithm for Matching Sets of Time Series
Iztok Savnik, Georg Lausen, Hans-Peter Kahle, Heinrich Spiecker and Sebastian Hein
289-298
MSTS: A System for Mining Sets of Time Series
Georg Lausen, Iztok Savnik and Aldar Dougarjapov
85-105
Learning First Order Logic Time Series Classifiers: Rules and Boosting
Juan J. Rodríguez, Carlos J. Alonso and Henrik Boström
309-315
Learning Right Sized Belief Networks by Means of a Hybrid Methodology
Silvia Acid and Luis M. De Campos
76-99
Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets
Brock Barber and Howard J. Hamilton
136-137
Discovering Task Neighbourhoods through Landmark Learning Performances
Hilan Bensusan and Christophe Giraud-Carrier
335-344
Induction of Multivariate Decision Trees by Using Dipolar Criteria
Leon Bobrowski and Marek Kretowski
233-254
Inductive Logic Programming in Clementine
Sam Brewer and Tom Khabaza
217-233
A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts
Deborah R. Carvalho and Alex A. Freitas
161-177
Clustering Large, Multi-level Data Sets: An Approach Based on Kohonen Self Organizing Maps
Antonio Ciampi and Yves Lechevallier
146-159
Trees and Induction Graphs for Multivariate Response
Antonio Ciampi, Djamel A. Zighed and Jérémy Clech
29-46
CEM - A Program for Visualization and Discovery in Email
Richard Cole, Peter Eklund and Gerd Stumme
265-280
Image Access and Data Mining: An Approach
Chabane Djeraba
121-150
Decision Tree Toolkit: A Component-Based Library of Decision Tree Algorithms
Nikos Drossos, Athanasios Papagelis and Dimitris Kalles
239-260
Determination of Screening Descriptors for Chemical Reaction Databases
Laurent Dury, Laurence Leherte and Daniel P. Vercauteren
395-400
Prior Knowledge in Economic Applications of Data Mining
A.J. Feelders
240-245
Temporal Machine Learning for Switching Control
Pierre Geurts and Louis Wehenkel
163-186
Improving Dissimilarity Functions with Domain Knowledge, applications with IKBS system
David Grosser, Jean Diatta and Noël Conruyt
187-219
Mining Weighted Association Rules for Fuzzy Quantitative Items
Attila Gyenesei
116-123
Centroid-Based Document Classification: Analysis and Experimental Results
Eui-Hong (Sam) Han and George Karypis
432-439
Applying Objective Interestingness Measures in Data Mining Systems
Robert J. Hilderman and Howard J. Hamilton
117-159
Observational Logic Integrates Data Mining Based on Statistics and Neural Networks
Martin Holeňa
149-159
Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases
Dimitar Hristovski, Sašo Džeroski, Borut Peterlin and Anamajirja Rožić
151-156
Collective Principal Component Analysis from Distributed, Heterogeneous Data
Hillol Kargupta, Weiyun Huang, Krishnamoorthy Sivakumar, Byung-Hoon Park and Shuren Wang
13-27
Hierarchical Document Clustering Based on Tolerance Rough Set Model
Saori Kawasaki, Ngoc Binh and Tu Bao
464-469
Application of Data-Mining and Knowledge Discovery in Automotive Data Engineering
Jörg Keller, Valerij Bauer and Wojciech Kwedlo
1-27
Towards Knowledge Discovery from cDNA Microarray Gene Expression Data
Jan Komorowski, Torgeir R. Hvidsten, Tor-Kristian Jenssen, Dyre Tjeldvoll and Eivind Hovig, et al.
19-40
Mining with Cover and Extension Operators
Marzena Kryszkiewicz
319-339
A User-Driven Process for Mining Association Rules
Pascale Kuntz, Fabrice Guillet, Rémi Lehn and Henri Briand
167-194
Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text Classification
Carsten Lanquillon
498-503
Schema Mining: Finding Structural Regularity among Semistructured Data
P.A Laur, F. Masseglia and P. Poncelet
293-317
Improving an Association Rule Based Classifier
Bing Liu, Yiming Ma and Ching Kian Wong
8-21
Discovery of Generalized Association Rules with Multiple Minimum Supports
Chung-Leung Lui and Fu-Lai Chung
1-11
Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions
Adele Marshall, Sally McClean, Mary Shapcott1 and Peter Millard
235-264
Discovering Differences in Patients with Uveitis through Typical Testors by Class
José Fco Martínez-Trinidad, Miriam Velasco-Sánchez and E. E. Contreras-Arevalo
179-204
Web Usage Mining: How to Efficiently Manage New Transactions and New Clients
F. Masseglia, P. Poncelet and M. Teisseire
99-124
Mining Relational Databases
Frédéric Moal, Teddy Turmeaux and Christel Vrain
2-7
Interestingness in Attribute-Oriented Induction (AOI): Multiple-Level Rule Generation
Maybin K. Muyeba and John A. Keane
213-226
Discovery of Characteristic Subgraph Patterns Using Relative Indexing and the Cascade Model
Takashi Okada and Mayumi Oyama
205-216
Transparency and Predictive Power
Explaining Complex Classification Models
Gerhard Paass and Jörg Kindermann
566-574
Clustering Distributed Homogeneous Datasets
Srinivasan Parthasarathy and Mitsunori Ogihara
195-232
Empirical Evaluation of Feature Subset Selection Based on a Real-World Data Set
Petra Perner and Chid Apte
47-68
Discovery of Ambiguous Patterns in Sequences Application to Bioinformatics
Ramstein Gerard, Bunelle Pascal and Jacques Yannick
75-116
Action-Rules: How to Increase Profit of a Company
Zbigniew W. Ras and Alicja Wieczorkowska
65-98
Aggregation and Association in Cross Tables
Gilbert Ritschard and Nicolas Nicoloyannis
599-604
An Experimental Study of Partition Quality Indices in Clustering
Céline Robardet, Fabien Feschet and Nicolas Nicoloyannis
221-261
Expert Constrained Clustering: A Symbolic Approach
Fabrice Rossi and Frédérick Vautrain
124-133
An Application of Association Rules Discovery to Geographic Information Systems
Ansaf Salleb and Christel Vrain
9-44
Generalized Entropy and Projection Clustering of Categorical Data
Dan A. Simovici, Dana Cristofor and Laurentiu Cristofor
44-73
Supporting Case Acquisition and Labelling in the Context of Web Mining
Vojtěch Svátek and Martin Kavalec
212-237
Indirect Association: Mining Higher Order Dependencies in Data
Pang-Ning Tan, Vipin Kumar and Jaideep Srivastava1
45-74
Discovering Association Rules in Large, Dense Databases
Tudor Teusan, Gilles Nachouki, Henri Briand and Jacques Philippe
347-536
Providing Advice to Website Designers Towards Effective Websites Re-organization
Peter Tselios, Agapios Platis and George Vouros
43-332
Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies
Shusaku Tsumoto
657-664
Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case
S. Viaene, B. Baesens, T. Van Gestel, J. A. K. Suykens and D. Van den Poel, et al.
263-284
Lightweight Document Clustering
Sholom M. Weiss, Brian F. White and Chidanand V. Apte
291-294
Automatic Category Structure Generation and Categorization of Chinese Text Documents
Hsin-Chang Yang and Chung-Hong Lee
100-115
Mining Generalized Multiple-level Association Rules
Yen Show-Jane
271-290
An Efficient Approach to Discovering Sequential Patterns in Large Databases
Yen Show-Jane and Cho Chung-Wen
138-145
Using Background Knowledge as a Bias to Control the Rule Discovery Process
Ning Zhong, Juzhen Dong and Setsuo Ohsuga
Back matter