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» On compressing frequent patterns
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KDD
2005
ACM
145views Data Mining» more  KDD 2005»
16 years 4 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt
113
Voted
HIS
2004
15 years 5 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
133
Voted
DSD
2010
IEEE
171views Hardware» more  DSD 2010»
15 years 2 months ago
Test Patterns Compression Technique Based on a Dedicated SAT-Based ATPG
— In this paper we propose a new method of test patterns compression based on a design of a dedicated SAT-based ATPG (Automatic Test Pattern Generator). This compression method i...
Jiri Balcarek, Petr Fiser, Jan Schmidt
145
Voted
DIS
2004
Springer
15 years 7 months ago
An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases
: The class of closed patterns is a well known condensed representations of frequent patterns, and have recently attracted considerable interest. In this paper, we propose an effic...
Takeaki Uno, Tatsuya Asai, Yuzo Uchida, Hiroki Ari...
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
16 years 4 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...