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DM: PKDD'99 Final program

From: Rauch Jan - KIZI, 2426, 438nb,UID=1291
Date: Mon, 2 Aug 1999 11:05:39 -0400 (EDT)
  • Organization: University of Economics, Prague, CZ

Dear  colleagues,

Please add the attached Final program of the conference 
PKDD'99 to your list. 

Thank you very much.

Sincerely yours

Jan Rauch, 
program co-chair of the conference


PKDD'99 Conference Program
Location: University of Economics,  Prague, Czech Republic

Wednesday, September 15, 1999

9:00 - 11:15
Tutorial 1
J. Mrazek (Bank of Montreal, Global Information Technology, Toronto,
Canada): Data Mining for Robust Business Intelligence Solutions

Tutorial 2
J. F. Boulicaut (Institute National des Sciences Appliquees de Lyon,
France): Query Languages for Knowledge Discovery in Databases

13:00 - 15:15
Tutorial 3
S. Koehler and M. Kriegel (Fraunhofer IAO, Stuttgart, Germany and
MINDLAB Krieger & Partner, Plochingen, Germany): The ESPRIT Project
CreditMine and its Relevance for the Internet Market

Tutorial 4
P. Hajek and J. Rauch (Institute of Computer Science and University of
Economics, Prague, Czech Republic): Logics and Statistics for
Association Rules and Beyond

15:45 - 18:00
Tutorial 5
Myra Spiliopoulou (Institute fuer Wirtschaftsinformatik,
Humboldt-Universitaet zu Berlin, Germany): Data Mining for the Web

Tutorial 6
L. De Raedt and H. Blockeel (Albert Ludwig University, Freiburg,
Germany and Katholieke Universiteit, Leuven, Belgium): Relational
Learning and Inductive Logic Programming Made Easy

20:00 - 22:00 Welcome Party, Questenberg Palace near Prague Castle

Thursday, September 16, 1999

8:50 -   9:00 Opening Ceremony
9:00 - 10:00  Invited Talk
R. Wirth (DaimlerChrysler  AG, Ulm, Germany):
CRISP-DM: Towards a Standard Process Model for Data Mining

10:00 - 10:40 Poster Preview, posters 1 - 13
E. Alphonse, C. Rouveirol:
Selective Propositionalization for Relational Learning

Y. Aumann, R. Feldman, Y.B. Yehuda, D. Landau, O. Liphstat, Y. Schler:
Circle Graphs: New Visualization Tools for Text-Mining

H. Brighton, C. Mellish:
On the consistency of information filters for lazy
learning algorithms

R. Cattral, F. Oppacher, D. Deugo:
Using Genetic Algorithms to Evolve a Rule Hierarchy

X. Chen, I. Petrounias:
Mining Temporal Features in Association Rules

F. Coenen, G. Swinnen, K. Vanhoof, G. Wets:
The Improvement of Response Modeling: Combining Rule-Induction and
Case-based Reasoning

R. Cole, P. Eklund:
Analyzing an Email Collection Using Formal Concept Analysis

P. Datta:
Business Focused Evaluation Methods: A Case Study

W. Ertel, M. Schramm:
Combining Data and Knowledge by MaxEnt-Optimization of Probability

A. Feelders:
Handling Missing Data in Trees: Surrogate Splits or Statistical

M.C. Fernandez-Baizan, E.M. Ruiz, J.M.P. Sanchez, S. Millan, E. Mesa:
Rough Dependencies as a Particular Case of Correlation: Application to
the Calculation of Approximative Reducts

C.S. Fertig, A.A. Freitas, L.V.R. Arruda, C. Kaestner:
A Fuzzy Beam-Search Rule Induction Algorithm

Z. Fu:
An Innovative GA-Based Decision Tree Classifier in Large Scale Data

10:40 - 11:00  Coffee Break
11:00 - 12:15

Session 1A: Time Series
E.J. Keogh, M.J. Pazzani:
Scaling up Dynamic Time Warping to Massive Dataset

Z. R. Struzik, A. Siebes:
The Haar Wavelet Transform in the Time Series Similarity Paradigm

S. Tsumoto:
Rule Discovery in Large Time-Series Medical Databases

Session 1B:  Applications
H. Blockeel, S. Dzeroski, J. Grbovic:
Simultaneous Prediction of Multiple Chemical Parameters of River Water
Quality with TILDE

E. Bertino, B. Catania, E. Caglio:
Applying Data Mining Techniques to Wafer Manufacturing

S. Massa, P.P. Puliafito:
An Application of Data Mining to the Problem of the University
Students' Dropout Using Markov Chains

12:15 - 13:30  Lunch
13:30 - 15:10

Session 2A: Taxonomies and Partitions
G. Masuda, R. Yano, N. Sakamoto, K. Ushijima:
Discovering and Visualizing Attribute Associations using Bayesian
Networks and Their Use in KDD

F.A. El-Mouadib, J. Koronacki, J.M. Zytkow:
Taxonomy Formation by Approximate Equivalence Relations, Revisited

A. Flexer:
On the Use of Self-organizing Maps for Clustering and Visualization

T. Elomaa, J. Rousu:
Speeding Up the Search for Optimal Partitions

Session 2B: Logic Methods
Todorovski, S. Dzeroski:
Experiments in Meta-Level Learning with ILP

A. Skowron, H.S. Nguyen:
Boolean Reasoning Scheme with Some Applications in Data Mining

J. Ivanek:
On the Correspondence between Classes of Implicational and Equivalence

F. Giannotti, G. Manco:
Querying Inductive Databases via Logic-Based User Defined Aggregates

15:10 - 15:30  Coffee Break
 15:30 - 16:45

Session 3A: Distributed and Multirelational Databases
N. Zhong, Y.Y. Yao, S. Ohsuga:
Peculiarity Oriented Multi-Database Mining

S. Tsumoto:
Knowledge Discovery in Medical MultiDatabases: A Rough Set Approach

R. Pairceir, S. McClean, B. Scotney:
Automated Discovery of Rules and Exceptions from Distributed Databases
Using Aggregates

Session 3B: Text Mining and Feature Selection
R. Feldman, Y. Aumann, M. Fresko, O. Liphstat, B. Rosenfeld,
Y. Schler:
Text Mining Via Information Extraction

C. Clifton, R. Cooley:
TopCat: Data Mining for Topic Identification in a Text Corpus

M. Sebban, D.A. Zighed, S. Di Palma:
Selection and Statistical Validation of Features and Prototypes

16:55 - 17:30 Poster Preview, posters 14 - 24
J.R. Garcia-Serrano, J.F. Martinez-Trinidad
Extension to C-means Algorithm for the Use of Similarity Functions

C.J. Kennedy, C. Giraud-Carrier, D.W. Bristol:
Predicting Chemical Carcinogenesis using Structural Information Only

M.V. Kiselev, S.M. Ananyan, S.B. Arseniev:
LA - a Clustering Algorithm with an Automated Selection of Attributes,
which is Invariant to Functional Transformations of Coordinates

M. Klemettinen, H. Mannila, A.I. Verkamo:
Association Rule Selection in a Data Mining Environment

A.J. Knobbe, A. Siebes, D. van der Wallen:
Multi-Relational Decision Tree Induction

S.O. Kuznetsov:
Learning of Simple Conceptual Graphs from Positive and Negative

W. Kwedlo, M. Kretowski:
An Evolutionary Algorithm Using Multivariate Discretization for
Decision Rule Induction

S. Lallich:
ZigZag, a New Clustering Algorithm to Analyze Categorical Variable
Cross-Classification Tables

J. Li, X. Zhang, G. Dong, K. Ramamohanarao, Q. Sun:
Efficient Mining of High Confidence Association Rules without Support

C-J. Liau, D-R. Liu:
A Logical Approach to Fuzzy Data Analysis

G. Lindner, R. Studer:
AST: Support for Algorithm Selection with a CBR Approach

17:30 - 19:00 Reception, Poster Session and Demonstrations
Posters 1 - 24

Friday, September 17, 1999
9:00 - 10:00  Invited Talk
W. Lehner (IBM Almaden Research Center, USA):
Data Warehousing and OLAP Technology for Business Intelligence

10:00 - 10:40 Poster Preview, posters 25-37
S. Lodi, L. Reami, C. Sartori:
Efficient Shared Near Neighbours Clustering of Large Metric Data Sets

S. Lopes, J-M. Petit, F. Toumani:
Discovery of "Interesting" Data Dependencies from a Workload of SQL

R. Mac Kinney-Romero, C. Giraud-Carrier:
Learning from Highly Structured Data by Decomposition

E. Mayoraz, M. Moreira:
Combinatorial Approach for Data Binarization

M.K. Muyeba, J.A. Keane:
Extending Attribute-Oriented Induction as a Key-Preserving Data Mining

N. Nikolaev, H. Iba:
Automated Discovery of Polynomials by Inductive Genetic Programming

A. Ohrn, J. Komorowski:
Diagnosing Acute Appendicitis with Very Simple Classification Rules

T. Okada:
Rule Induction in Cascade Model based on Sum of Squares Decomposition

M. Pechoucek, O. Stepankova, P. Miksovsky:
Maintenance of Discovered Knowledge

C. Pizzuti, D. Talia, G. Vonella:
A Divisive Initialization Method for Clustering Algorithms

T. Poddig, K. Huber:
A Comparison of Model Selection Procedures for Predicting Turning
Points in Financial Time Series

L. Popelinsky, T. Pavelek:
Mining lemma disambiguation rules from Czech corpora

C.P. Rainsford, J.F. Roddick:
Adding Temporal Semantics to Association Rules

10:40 - 11:00  Coffee Break
11:00 - 11:30 Poster Preview, posters 38-48
R. Rakotomalala, S. Lallich, S. Di Palma:
Studying the Behavior of Generalized Entropy in Induction Trees Using
a M-of-N Concept

Z.W. Ras:
Discovering Rules in Information Trees

A. Rauber, D. Merkl:
Mining Text Archives: Creating Readable Maps to Structure and Describe
Document Collections

J. Ruhland, T. Wittmann:
Neuro-Fuzzy Data Mining for Target Group Selection in Retail Banking

A.A. Savinov:
Mining Possibilistic Set-Valued Rules By Generating Prime Disjunctions

A. Skowron, J. Stepaniuk:
Towards Discovery of Information Granules

D. Slezak, J. Wroblewski:
Classification Algorithms Based on Linear Combinations of Features

M. Spiliopoulou:
Managing Interesting Rules in Sequence Mining

S. Sugaya, E. Suzuki, S. Tsumoto:
Support Vector Machines for Knowledge Discovery

I. Uysal, H.A. Guvenir:
Regression by Feature Projections

N. Xiong, L. Litz:
Generating Linguistic Fuzzy Rules for Pattern Classification with
Genetic Algorithms

11:30 - 13:00 Poster Session and Demonstrations
Posters 25-48

13:00 - 14:15 Lunch

14:30 - 22:00  Trip to Kutna Hora town & Dinner
Kutna Hora (UNESCO World Heritage) was an ancient mining town. There
are plenty of  precious Gothic constructions such as the Cathedral of
St Barbara or the Italian Court. A visit of former silver mines is
planned as well.

Saturday, September 18, 1999
9:00 - 10:00  Invited Talk
To be announced

10:00 - 10:20  Coffee Break
10:20 - 12:00
Session 4A : Rules and induction
T. Agotnes, J. Komorowski, T. Loken:
Taming Large Rule Models in Rough Set Approaches

D. Zelenko:
Optimizing Disjunctive Association Rules

M. Sebban, R. Nock:
Contribution of Boosting in Wrapper Models

R. Nock, M. Sebban, P. Jappy:
Experiments on a Representation-Independent "Top-down and Prune"
Induction Scheme

Session 4B:  Discovery Challenge
12:00 - 14:00  Lunch
14:00 - 15:40

Session 5A: On interesting and unusual
R.J. Hilderman, H.J. Hamilton:
Heuristic Measures of Interestingness

T. Wittmann, J. Ruhland, M. Eichholz:
Enhancing Rule Interestingness for Neuro-Fuzzy Systems

U. Murad, G. Pinkas:
Unsupervised Profiling for Identifying Superimposed Fraud:

M.M. Breunig, H.P. Kriegel, R.T. Ng, J. Sander:
OPTICS-OF: Identifying Local Outliers

Session 5B: Discovery Challenge
15:40 - 16:00  Coffee Break

16:00 - 17:15 Panel: Discovery Challenge: 
              lessons learned and new directions
Moderator: Petr Berka

17:15 - 17:45 Business meeting: the future of PKDDs


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