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PKDD
2000
Springer
107views Data Mining» more  PKDD 2000»
13 years 11 months ago
Expert Constrained Clustering: A Symbolic Approach
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
Fabrice Rossi, Frédérick Vautrain
PKDD
2000
Springer
151views Data Mining» more  PKDD 2000»
13 years 11 months ago
Discovery of Characteristic subgraph Patterns Using Relative Indexing and the Cascade Model
: Relational representation of objects using graphs reveals much information that cannot be obtained by attribute value representations alone. There are already many databases that...
Takashi Okada, Mayumi Oyama
PKDD
2000
Springer
125views Data Mining» more  PKDD 2000»
13 years 11 months ago
Materialized Data Mining Views
Data mining is a useful decision support technique, which can be used to find trends and regularities in warehouses of corporate data. A serious problem of its practical applicatio...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
PKDD
2000
Springer
120views Data Mining» more  PKDD 2000»
13 years 11 months ago
Multi-Relational Data Mining, Using UML for ILP
Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limit...
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Dan...
PKDD
2000
Springer
99views Data Mining» more  PKDD 2000»
13 years 11 months ago
Web Usage Mining: How to Efficiently Manage New Transactions and New Clients
Florent Masseglia, Pascal Poncelet, Maguelonne Tei...
PKDD
2000
Springer
109views Data Mining» more  PKDD 2000»
13 years 11 months ago
Quality Scheme Assessment in the Clustering Process
Maria Halkidi, Michalis Vazirgiannis, Yannis Batis...
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
13 years 11 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
PKDD
2000
Springer
123views Data Mining» more  PKDD 2000»
13 years 11 months ago
Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases
The paper presents an interactive discovery support system for the field of medicine. The intended users of the system are medical researchers. The goal of the system is: for a giv...
Dimitar Hristovski, Saso Dzeroski, Borut Peterlin,...
PKDD
2000
Springer
116views Data Mining» more  PKDD 2000»
13 years 11 months ago
Prior Knowledge in Economic Applications of Data Mining
A common form of prior knowledge in economic modelling concerns the monotonicity of relations between the dependent and explanatory variables. Monotonicity may also be an important...
A. J. Feelders
PKDD
2000
Springer
108views Data Mining» more  PKDD 2000»
13 years 11 months ago
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
Christophe Druet, Damien Ernst, Louis Wehenkel