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» Detecting Connection-Chains: A Data Mining Approach
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PKDD
2007
Springer
120views Data Mining» more  PKDD 2007»
14 years 1 months ago
Site-Independent Template-Block Detection
Detection of template and noise blocks in web pages is an important step in improving the performance of information retrieval and content extraction. Of the many approaches propos...
Aleksander Kolcz, Wen-tau Yih
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 8 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
FSKD
2005
Springer
267views Fuzzy Logic» more  FSKD 2005»
14 years 1 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...
ICMLA
2008
13 years 9 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...
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
13 years 12 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...