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ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
16 years 28 days ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
16 years 6 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han
KI
2007
Springer
16 years 26 days ago
Relational Exploration - Reconciling Plato and Aristotle
Abstract. We provide an interactive method for knowledge acquisition combining approaches from description logic and formal concept analysis. Based on present data, hypothetical ru...
Sebastian Rudolph
DAWAK
2005
Springer
16 years 8 days ago
Gene Expression Biclustering Using Random Walk Strategies
A biclustering algorithm, based on a greedy technique and enriched with a local search strategy to escape poor local minima, is proposed. The algorithm starts with an initial rando...
Fabrizio Angiulli, Clara Pizzuti
FLAIRS
2001
15 years 8 months ago
Hierarchical Representatives Clustering with Hybrid Approach
Clustering is a discoveringprocess of meaningfulintbrmationby groupingsimilar data into compactclusters. Mostof traditional clustering methodsare in favor of small datasets andhav...
Byung-Joo An, Eunju Kim, Yillbyung Lee