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» A Perspective on Databases and Data Mining
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SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
15 years 7 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan
SAC
2010
ACM
15 years 1 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
SIGMOD
2008
ACM
236views Database» more  SIGMOD 2008»
16 years 6 months ago
Approximate embedding-based subsequence matching of time series
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Vassilis Athitsos, Panagiotis Papapetrou, Michalis...
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
15 years 10 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
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