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ICDE
1995
IEEE
192views Database» more  ICDE 1995»
14 years 9 months ago
Mining Sequential Patterns
Abstract. The problem of mining sequential patterns was recently introduced in 3 . We are given a database of sequences, where each sequence is a list of transactions ordered by tr...
Rakesh Agrawal, Ramakrishnan Srikant
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
14 years 8 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
13 years 11 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
ECCV
2010
Springer
14 years 23 days ago
Automatic Attribute Discovery and Characterization
It is common to use domain specific terminology – attributes – to describe the visual appearance of objects. In order to scale the use of these describable visual attributes t...
DATAMINE
2007
135views more  DATAMINE 2007»
13 years 7 months ago
Experiencing SAX: a novel symbolic representation of time series
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lona...