2. PKDD 1998:
Nantes,
France
Jan M. Zytkow, Mohamed Quafafou (Eds.):
Principles of Data Mining and Knowledge Discovery, Second European Symposium, PKDD '98, Nantes, France, September 23-26, 1998, Proceedings.
Lecture Notes in Computer Science 1510 Springer 1998, ISBN 3-540-65068-7 
@proceedings{DBLP:conf/pkdd/1998,
editor = {Jan M. Zytkow and
Mohamed Quafafou},
title = {Principles of Data Mining and Knowledge Discovery, Second European
Symposium, PKDD '98, Nantes, France, September 23-26, 1998, Proceedings},
booktitle = {PKDD},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {1510},
year = {1998},
isbn = {3-540-65068-7},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Session 1. Rule evaluation
Session 2. Visualization
Session 3. Association rules and text mining
- David Landau, Ronen Feldman, Yonatan Aumann, Moshe Fresko, Yehuda Lindell, Orly Liphstat, Oren Zamir:
TextVis: An Integrated Visual Environment for Text Mining.
56-64
- Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda Lindell, Orly Liphstat, Martin Rajman, Yonatan Schler, Oren Zamir:
Text Mining at the Term Level.
65-73
- Jochen Hipp, Andreas Myka, Rüdiger Wirth, Ulrich Güntzer:
A New Algorithm for Faster Mining of Generalized Association Rules.
74-82
Session 4. Clustering and discretization
Session 5. KDD process and software
Session 6. Tree construction
Session 7. Sequential and spatial data mining
Session 8. Attribute selection
Posters
- Petr Berka, Ivan Bruha:
Discretization and Grouping: Preprocessing Steps for Data Mining.
239-245
- Nara Martini Bigolin, Christophe Marsala:
Fuzzy Spatial OQL for Fuzzy Knowledge Discovery in Databases.
246-254
- Patrick Bosc, Ludovic Lietard, Olivier Pivert:
Extended Functional Dependencies as a Basis for Linguistic Summaries.
255-263
- Leonardo Carbonara, Alastair Borrowman:
A Comparison of Batch and Incremental Supervised Learning Algorithms.
264-272
- Jesús Cerquides, Ramon López de Mántaras:
Knowledge Discovery with Qualitative Influences and Synergies.
273-281
- Xiaodong Chen, Ilias Petrounias:
Language Support for Temporal Data Mining.
282-290
- Ethan Collopy, Mark Levene:
Resampling in an Indefinite Database to Approximate Functional Dependencies.
291-299
- Neil Dewhurst, Simon H. Lavington:
Knowledge Discovery from Client-Server Databases.
300-308
- Arthur Flexer, Herbert Bauer:
Discovery of Common Subsequences in Cognitive Evoked Potentials.
309-317
- Sylvie Guillaume, Fabrice Guillet, Jacques Philippe:
Improving the Discovery of Association Rules with Intensity of Implication.
318-327
- Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall:
Generalization Lattices.
328-336
- K. M. Ho, Paul D. Scott:
Overcoming Fragmentation in Decision Trees Through Attribute Value Grouping.
337-344
- Petra Hunziker, Andreas Maier, Alex Nippe, Markus Tresch, Douglas Weers, Peter Zemp:
Data Mining at a Major Bank: Lessons from a Large Marketing Application.
345-351
- Mikhail V. Kiselev, Sergei M. Ananyan, Sergei B. Arseniev:
PolyAnalyst Data Analysis Technique and Its Specialization for Processing Data Organized as a Set of Attribute Values.
352-360
- Marzena Kryszkiewicz:
Representative Association Rules and Minimum Condition Maximum Consequence Association Rules.
361-369
- Wojciech Kwedlo, Marek Kretowski:
Discovery of Decision Rules from Databases: An Evolutionary Approach.
370-378
- Nuno Miguel Marques, José Gabriel Pereira Lopes, Carlos Agra Coelho:
Using Loglinear Clustering for Subcategorization Identification.
379-387
- Kazunori Matsumoto:
Exploratory Attributes Search for Time-Series Data: An Experimental System for Agricultural Application.
388-395
- Juan Méndez, Mario Hernández, Javier Lorenzo:
A Procedure to Compute Prototypes for Data Mining in Non-structured Domains.
396-404
- Jean Moscarola, Richard Bolden:
From the Data Mine to the Knowledge Mill: Applying the Principles of Lexical Analysis to the Data Mining and Knowledge Discovery Process.
405-413
- Arnaud Ragel:
Preprocessing of Missing Values Using Robust Association Rules.
414-422
- Thomas P. Reinartz:
Similarity-Driven Sampling for Data Mining.
423-431
- Arun P. Sanjeev, Jan M. Zytkow:
Modeling the Business Process by Mining Multiple Databases.
432-440
- Jaroslaw Stepaniuk, Marcin Maj:
Data Transformation and Rough Sets.
441-449
- Gerd Stumme, Rudolf Wille, Uta Wille:
Conceptual Knowledge Discovery in Databases Using Formal Concept Analysis Methods.
450-458
- José Francisco Martínez Trinidad, Beatriz Beltrán Martínez, Adolfo Guzmán-Arenas, José Ruiz-Shulcloper:
CLASITEX: A Tool for Knowledge Discovery from Texts.
459-467
- Shusaku Tsumoto:
Discovery of Approximate Medical Knowledge Based on Rough Set Model.
468-476
Tutorials
Copyright © Fri Mar 12 17:19:48 2010
by Michael Ley (ley@uni-trier.de)
