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ESANN
2004
14 years 11 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
150
Voted
TCBB
2011
14 years 4 months ago
Data Mining on DNA Sequences of Hepatitis B Virus
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
Kwong-Sak Leung, Kin-Hong Lee, Jin Feng Wang, Eddi...
BMCBI
2006
114views more  BMCBI 2006»
14 years 9 months ago
Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle
Background: AMP-activated protein kinase (AMPK) has emerged as a significant signaling intermediary that regulates metabolisms in response to energy demand and supply. An investig...
Qingfeng Chen, Yi-Ping Phoebe Chen
112
Voted
DMKD
2000
ACM
165views Data Mining» more  DMKD 2000»
15 years 1 months ago
On Mining Web Access Logs
The proliferation of information on the world wide web has made the personalization of this information space a necessity. One possible approach to web personalization is to mine ...
Anupam Joshi, Raghu Krishnapuram
68
Voted
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
15 years 1 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok