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1.

図書

図書
Jan M. Żytkow, Mohamed Quafafou (eds.)
出版情報: Berlin : Springer, c1998  xi, 482 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1510 . Lecture notes in artificial intelligence
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2.

図書

図書
Djamel A. Zighed, Jan Komorowski, Jan Żytkow (eds.)
出版情報: Berlin ; Tokyo : Springer, c2000  xv, 701 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1910 . Lecture notes in artificial intelligence
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3.

図書

図書
Jan M. Żytkow, Jan Rauch (eds.)
出版情報: Berlin ; Tokyo : Springer, c1999  xiv, 593 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1704 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
- Time Series / Session 1A:
Scaling up Dynamic Time Warping to Massive Dataset / E.J. Keogh ; M.J. Pazzani
The Haar Wavelet Transform in the Time Series Similarity Paradigm / Z.R. Struzik ; A. Siebes
Rule Discovery in Large Time-Series Medical Databases / S. Tsumoto
- Applications / Session 1B:
Simultaneous Prediction of Multiple Chemical Parameters of River Water Quality with TILDE / H. Blockeel ; S. Džeroski ; J. Grbović
Applying Data Mining Techniques to Wafer Manufacturing / E. Bertino ; B. Catania ; E. Caglio
An Application of Data Mining to the Problem of the University Students' Dropout Using Markov Chains / S. Massa ; P.P. Puliafito
- Taxonomies and Partitions / Session 2A:
Discovering and Visualizing Attribute Associations Using Bayesian Networks and Their Use in KDD / G. Masuda ; R. Yano ; N. Sakamoto ; K. Ushijima
Taxonomy Formation by Approximate Equivalence Relations, Revisited / F.A. El-Mouadib ; J. Koronacki ; J.M. Żytkow
On the Use of Self-Organizing Maps for Clustering and Visualization / A. Flexer
Speeding Up the Search for Optimal Partitions / T. Elomaa ; J. Rousu
- Logic Methods / Session 2B:
Experiments in Meta-level Learning with ILP / L. Todorovski
Boolean Reasoning Scheme with Some Applications in Data Mining / A. Skowron ; H.S. Nguyen
On the Correspondence between Classes of Implicational and Equivalence Quantifiers / J. Ivánek
Querying Inductive Databases via Logic-Based User-Defined Aggregates / F. Giannotti ; G. Manco
- Distributed and Multirelational Databases / Session 3A:
Peculiarity Oriented Multi-database Mining / N. Zhong ; Y.Y. Yao ; S. Ohsuga
Knowledge Discovery in Medical Multi-databases: A Rough Set Approach
Automated Discovery of Rules and Exceptions from Distributed Databases Using Aggregates / R. Páircéir ; S. McClean ; B. Scotney
- Text Mining and Feature Selection / Session 3B:
Text Mining via Information Extraction / R. Feldman ; Y. Aumann ; M. Fresko ; O. Liphstat ; B. Rosenfeld ; Y. Schier
TopCat: Data Mining for Topic Identification in a Text Corpus / C. Clifton ; R. Cooley
Selection and Statistical Validation of Features and Prototypes / M. Sebban ; D.A. Zighed ; S. Di Palma
- Rules and Induction / Session 4A:
Taming Large Rule Models in Rough Set Approaches / T. Ågotnes ; J. Komorowski ; T. Løken
Optimizing Disjunctive Association Rules / D. Zelenko
Contribution of Boosting in Wrapper Models / R. Nock
Experiments on a Representation-Independent "Top-Down and Prune" Induction Scheme / P. Jappy
- Interesting and Unusual / Session 5A:
Heuristic Measures of Interestingness / R.J. Hilderman ; H.J. Hamilton
Enhancing Rule Interestingness for Neuro-fuzzy Systems / T. Wittmann ; J. Ruhland ; M. Eichholz
Unsupervised Profiling for Identifying Superimposed Fraud / U. Murad ; G. Pinkas
OPTICS-OF: Identifying Local Outliers / M.M. Breunig ; H.-P. Kriegel ; R.T. Ng ; J. Sander
Posters
Selective Propositionalization for Relational Learning / É. Alphonse ; C. Rouveirol
Circle Graphs: New Visualization Tools for Text-Mining / Y.B. Yehuda ; D. Landau ; Y. Schler
On the Consistency of Information Filters for Lazy Learning Algorithms / H. Brighton ; C. Mellish
Using Genetic Algorithms to Evolve a Rule Hierarchy / R. Cattral ; F. Oppacher ; D. Deugo
Mining Temporal Features in Association Rules / X. Chen ; I. Petrounias
The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning / F. Coenen ; G. Swinnen ; K. Vanhoof ; G. Wets
Analyzing an Email Collection Using Formal Concept Analysis / R. Cole ; P. Eklund
Business Focused Evaluation Methods: A Case Study / P. Datta
Combining Data and Knowledge by MaxEnt-Optimization of Probability Distributions / W. Ertel ; M. Schramm
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation? / A. Feelders
Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative Reducts / M.C. Fernandez-Baizán ; E. Menasalvas Ruiz ; J.M. Peña Sánchez ; S. Millán ; E. Mesa
A Fuzzy Beam-Search Rule Induction Algorithm / C.S. Fertig ; A.A. Freitas ; L.V.R. Arruda ; C. Kaestner
An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining / Z. Fu
Extension to C-means Algorithm for the Use of Similarity Functions / J.R. García-Serrano ; J.F. Martínez-Trinidad
Predicting Chemical Carcinogenesis Using Structural Information Only / C.J. Kennedy ; C. Giraud-Carrier ; D.W. Bristol
LA - A Clustering Algorithm with an Automated Selection of Attributes, which Is Invariant to Functional Transformations of Coordinates / M.V. Kiselev ; S.M. Ananyan ; S.B. Arseniev
Association Rule Selection in a Data Mining Environment / M. Klemettinen ; H. Mannila ; A.I. Verkamo
Multi-relational Decision Tree Induction / A.J. Knobbe ; D. van der Wallen
Learning of Simple Conceptual Graphs from Positive and Negative Examples / S.O. Kuznetsov
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction / W. Kwedlo ; M. Kr&ecedil;towski
ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables / S. Lallich
Efficient Mining of High Confidence Association Rules without Support Thresholds / J. Li ; X. Zhang ; G. Dong ; K. Ramamohanarao ; Q. Sun
A Logical Approach to Fuzzy Data Analysis / C.-J. Liau ; D.-R. Liu
AST: Support for Algorithm Selection with a CBR Approach / G. Lindner ; R. Studer
Efficient Shared Near Neighbours Clustering of Large Metric Data Sets / S. Lodi ; L. Reami ; C. Sartori
Discovery of "Interesting" Data Dependencies from a Workload of SQL Statements / S. Lopes ; J.-M. Petit ; F. Toumani
Learning from Highly Structured Data by Decomposition / R. Mac Kinney-Romero
Combinatorial Approach for Data Binarization / E. Mayoraz ; M. Moreira
Extending Attribute-Oriented Induction as a Key-Preserving Data Mining Method / M.K. Muyeba ; J.A. Keane
Automated Discovery of Polynomials by Inductive Genetic Programming / N. Nikolaev ; H. Iba
Diagnosing Acute Appendicitis with Very Simple Classification Rules / A. Øhrn
Rule Induction in Cascade Model Based on Sum of Squares Decomposition / T. Okada
Maintenance of Discovered Knowledge / M. Pěchouček ; O. Štěpánková ; P. Mikšovský
A Divisive Initialization Method for Clustering Algorithms / C. Pizzuti ; D. Talia ; G. Vonella
A Comparison of Model Selection Procedures for Predicting Turning Points in Financial Time Series / T. Poddig ; K. Ruber
Mining Lemma Disambiguation Rules from Czech Corpora / L. Popelínský ; T. Pavelek
Adding Temporal Semantics to Association Rules / C.P. Rainsford ; J.F. Roddick
Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept / R. Rakotomalala
Discovering Rules in Information Trees / Z.W. Ras
Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections / A. Rauber ; D. Merkl
Neuro-fuzzy Data Mining for Target Group Selection in Retail Banking
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions / A.A. Savinov
Towards Discovery of Information Granules / J. Stepaniuk
Classification Algorithms Based on Linear Combinations of Features / D. Śl&ecedil;zak ; J. Wróblewski
Managing Interesting Rules in Sequence Mining / M. Spiliopoulou
Support Vector Machines for Knowledge Discovery / S. Sugaya ; E. Suzuki
Regression by Feature Projections / İ. Uysal ; H.A. Güvenir
Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms / N. Xiong ; L. Litz
Tutorials
Data Mining for Robust Business Intelligence Solutions / J. Mrazek
Query Languages for Knowledge Discovery in Databases / J.-F. Boulicaut
The ESPRIT Project CreditMine and Its Relevance for the Internet Market / S. Koühler ; M. Krieger
Logics and Statistics for Association Rules and Beyond / P. Hájek ; J. Rauch
Data Mining for the Web
Relational Learning and Inductive Logic Programming Made Easy / L. De Raedt
Author Index
- Time Series / Session 1A:
Scaling up Dynamic Time Warping to Massive Dataset / E.J. Keogh ; M.J. Pazzani
The Haar Wavelet Transform in the Time Series Similarity Paradigm / Z.R. Struzik ; A. Siebes
4.

図書

図書
Jan Komorowski, Jan Zytkow (eds.)
出版情報: Berlin ; Tokyo : Springer, c1997  ix, 396 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1263 . Lecture notes in artificial intelligence
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