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» Benchmarking Data Mining Algorithms
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KDD
2009
ACM
189views Data Mining» more  KDD 2009»
16 years 1 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 6 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 10 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
ICDM
2006
IEEE
135views Data Mining» more  ICDM 2006»
16 years 10 days ago
Discovering Frequent Poly-Regions in DNA Sequences
The problem of discovering arrangements of regions of high occurrence of one or more items of a given alphabet in a sequence, is studied, and two efficient approaches are propose...
Panagiotis Papapetrou, Gary Benson, George Kollios
ACMSE
2007
ACM
15 years 10 months ago
Enhancing clustering blog documents by utilizing author/reader comments
Blogs are a new form of internet phenomenon and a vast everincreasing information resource. Mining blog files for information is a very new research direction in data mining. We p...
Beibei Li, Shuting Xu, Jun Zhang