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IISWC
2006
IEEE
16 years 10 days ago
An Architectural Characterization Study of Data Mining and Bioinformatics Workloads
— Data mining is the process of automatically finding implicit, previously unknown, and potentially useful information from large volumes of data. Recent advances in data extrac...
Berkin Özisikyilmaz, Ramanathan Narayanan, Jo...
PPOPP
2005
ACM
15 years 12 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
KDD
2009
ACM
296views Data Mining» more  KDD 2009»
16 years 6 months ago
Anonymizing healthcare data: a case study on the blood transfusion service
: Gaining access to high-quality health data is a vital requirement to informed decision making for medical practitioners and pharmaceutical researchers. Driven by mutual benefits ...
Noman Mohammed, Benjamin C. M. Fung, Patrick C. K....
ADMA
2006
Springer
192views Data Mining» more  ADMA 2006»
15 years 10 months ago
GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming
This work describes the use of a recently proposed technique
Wagner Rodrigo Weinert, Heitor S. Lopes
PKDD
2005
Springer
138views Data Mining» more  PKDD 2005»
15 years 11 months ago
Indexed Bit Map (IBM) for Mining Frequent Sequences
Sequential pattern mining has been an emerging problem in data mining. In this paper, we propose a new algorithm for mining frequent sequences. It processes only one scan of the da...
Lionel Savary, Karine Zeitouni