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» Combined Data Mining Approach for Intrusion Detection
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BMCBI
2010
95views more  BMCBI 2010»
15 years 4 months ago
An effective approach for identification of in vivo protein-DNA binding sites from paired-end ChIP-Seq data
Background: ChIP-Seq, which combines chromatin immunoprecipitation (ChIP) with high-throughput massively parallel sequencing, is increasingly being used for identification of prot...
Congmao Wang, Jie Xu, Dasheng Zhang, Zoe A. Wilson...
FSKD
2005
Springer
267views Fuzzy Logic» more  FSKD 2005»
15 years 9 months ago
Preventing Meaningless Stock Time Series Pattern Discovery by Changing Perceptually Important Point Detection
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
Tak-Chung Fu, Fu-Lai Chung, Robert W. P. Luk, Chak...
SADM
2010
123views more  SADM 2010»
15 years 2 months ago
Discriminative frequent subgraph mining with optimality guarantees
The goal of frequent subgraph mining is to detect subgraphs that frequently occur in a dataset of graphs. In classification settings, one is often interested in discovering discr...
Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei H...
ICMLA
2008
15 years 5 months ago
Detection of Sequential Outliers Using a Variable Length Markov Model
Mining for outliers in sequential databases is crucial to forward appropriate analysis of data. Therefore, many approaches for the discovery of such anomalies have been proposed. ...
Cécile Low-Kam, Anne Laurent, Maguelonne Te...
ICSE
2009
IEEE-ACM
15 years 11 months ago
Mining recurrent activities: Fourier analysis of change events
Within the field of software repository mining, it is common practice to extract change-events from source control systems and then abstract these events to allow for different a...
Abram Hindle, Michael W. Godfrey, Richard C. Holt