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» A data mining approach to database compression
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EDBT
2004
ACM
142views Database» more  EDBT 2004»
16 years 2 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
CIKM
2008
Springer
15 years 3 months ago
Exploiting context to detect sensitive information in call center conversations
Protecting sensitive information while preserving the shareability and usability of data is becoming increasingly important. In call-centers a lot of customer related sensitive in...
Tanveer A. Faruquie, Sumit Negi, Anup Chalamalla, ...
SADM
2008
165views more  SADM 2008»
15 years 1 months ago
Global Correlation Clustering Based on the Hough Transform
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...
Elke Achtert, Christian Böhm, Jörn David...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 3 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
ISUVR
2007
15 years 3 months ago
Recommendation of Preferable Photo Contents
— This paper presents a recommendation module which provides preferable photo contents to the user from among the huge amount of photo contents in UMPC database. To extract the p...
Jeong-min Yu, Sangwook Lee, Moongu Jeon