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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 3 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 3 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
16 years 3 months ago
SQAK: doing more with keywords
Today's enterprise databases are large and complex, often relating hundreds of entities. Enabling ordinary users to query such databases and derive value from them has been o...
Sandeep Tata, Guy M. Lohman
ICS
2010
Tsinghua U.
16 years 17 days ago
Space-Efficient Estimation of Robust Statistics and Distribution Testing
: The generic problem of estimation and inference given a sequence of i.i.d. samples has been extensively studied in the statistics, property testing, and learning communities. A n...
Steve Chien, Katrina Ligett, Andrew McGregor
ICWS
2009
IEEE
16 years 11 days ago
Reiki: Serviceability Architecture and Approach for Reduction and Management of Product Service Incidents
: © Reiki: Serviceability Architecture and Approach for Reduction and Management of Product Service Incidents Chris Connelly, Brian Cox, Tim Forell, Rui Liu, Dejan Milojicic, Alan...
Chris Connelly, Brian Cox, Tim Forell, Rui Liu, De...