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» Similarity measures in fuzzy rule base simplification
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PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...
VLSISP
2002
124views more  VLSISP 2002»
13 years 7 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
13 years 10 months ago
Identifying Stock Similarity Based on Multi-event Episodes
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar ...
ADC
2008
Springer
139views Database» more  ADC 2008»
14 years 2 months ago
Computing Structural Similarity of Source XML Schemas against Domain XML Schema
In this paper, we study the problem of measuring structural similarities of large number of source schemas against a single domain schema, which is useful for enhancing the qualit...
Jianxin Li, Chengfei Liu, Jeffrey Xu Yu, Jixue Liu...
ISCIS
2003
Springer
14 years 1 months ago
Similarity for Conceptual Querying
Abstract. The focus of this paper is approaches to measuring similarity for application in content-based query evaluation. Rather than only comparing at the level of words, the iss...
Troels Andreasen, Henrik Bulskov, Rasmus Knappe