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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
14 years 8 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
IUI
2010
ACM
14 years 4 months ago
Usage patterns and latent semantic analyses for task goal inference of multimodal user interactions
This paper describes our work in usage pattern analysis and development of a latent semantic analysis framework for interpreting multimodal user input consisting speech and pen ge...
Pui-Yu Hui, Wai Kit Lo, Helen M. Meng
BMCBI
2008
107views more  BMCBI 2008»
13 years 7 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
CONSTRAINTS
2007
112views more  CONSTRAINTS 2007»
13 years 7 months ago
Maxx: Test Pattern Optimisation with Local Search Over an Extended Logic
In the ECAD area, the Test Generation (TG) problem consists in finding an input vector test for some possible diagnosis (a set of faults) of a digital circuit. Such tests may have ...
Francisco Azevedo
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
14 years 9 months ago
Preservation Of Patterns and Input-Output Privacy
Abstract breaches. To do so, the data custodian needs to transform its data. To determine the appropriate transforPrivacy preserving data mining so far has mainly mation, there are...
Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng,...