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» Possibility of Integrated Data Mining of Clinical Data
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ICDM
2006
IEEE
184views Data Mining» more  ICDM 2006»
14 years 2 months ago
MARGIN: Maximal Frequent Subgraph Mining
The exponential number of possible subgraphs makes the problem of frequent subgraph mining a challenge. Maximal frequent mining has triggered much interest since the size of the s...
Lini T. Thomas, Satyanarayana R. Valluri, Kamalaka...
HIS
2004
13 years 10 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...
DAWAK
2005
Springer
14 years 2 months ago
Processing Sequential Patterns in Relational Databases
Database integration of data mining has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specia...
Xuequn Shang, Kai-Uwe Sattler
WECWIS
2000
IEEE
144views ECommerce» more  WECWIS 2000»
14 years 1 months ago
An Architecture to Support Distributed Data Mining Services in E-Commerce Environments
This paper presents our hybrid architectural model for Distributed Data Mining (DDM) which is tailored to meet the needs of e-businesses where application service providers sell D...
Shonali Krishnaswamy, Arkady B. Zaslavsky, Seng Wa...
ICDIM
2010
IEEE
13 years 6 months ago
Data mining and automatic OLAP schema generation
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
Muhammad Usman, Sohail Asghar, Simon Fong