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» Complexity Dimensions and Learnability
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ICPP
2000
IEEE
13 years 11 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
SIGMOD
1997
ACM
160views Database» more  SIGMOD 1997»
13 years 11 months ago
Improved Query Performance with Variant Indexes
: The read-mostly environment of data warehousing makes it possible to use more complex indexes to speed up queries than in situations where concurrent updatesare present. The curr...
Patrick E. O'Neil, Dallan Quass
ISPW
1996
IEEE
13 years 11 months ago
Feedback, evolution and software technology
A 1968 study of the software process led, inter alia, to the observation that the software process constitutes a feedback system. Attempts at its management and improvement must t...
M. M. Lehman
EDBT
2009
ACM
122views Database» more  EDBT 2009»
13 years 11 months ago
Finding the influence set through skylines
Given a set P of products, a set O of customers, and a product p P, a bichromatic reverse skyline query retrieves all the customers in O that do not find any other product in P t...
Xiaobing Wu, Yufei Tao, Raymond Chi-Wing Wong, Lin...
FLAIRS
2008
13 years 9 months ago
Learning in the Lexical-Grammatical Interface
Children are facile at both discovering word boundaries and using those words to build higher-level structures in tandem. Current research treats lexical acquisition and grammar i...
Tom Armstrong, Tim Oates