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» Data envelopment analysis with imprecise data
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PODS
2009
ACM
119views Database» more  PODS 2009»
14 years 8 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
JCIT
2008
124views more  JCIT 2008»
13 years 7 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
SEKE
2004
Springer
14 years 1 months ago
Automated Assistance for Eliciting User Expectations
People often use software for mundane tasks and expect it to be dependable enough for their needs. Unfortunately, the incomplete and imprecise specifications of such everyday sof...
Orna Raz, Rebecca B. Buchheit, Mary Shaw, Philip K...
HICSS
2002
IEEE
89views Biometrics» more  HICSS 2002»
14 years 18 days ago
ICT-Impact on Services
The state of service management practice and the developments in ICT-efficiency research prompt the call for managerial relevance, normative theory building and the conceptualizat...
Alexander G. Bielowski, Rita Walczuch
PODS
2009
ACM
124views Database» more  PODS 2009»
14 years 8 months ago
Indexing uncertain data
Querying uncertain data has emerged as an important problem in data management due to the imprecise nature of many measurement data. In this paper we study answering range queries...
Pankaj K. Agarwal, Siu-Wing Cheng, Yufei Tao, Ke Y...