Sciweavers

1458 search results - page 79 / 292
» Practical Preference Relations for Large Data Sets
Sort
View
ISMB
1993
15 years 6 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
SIGMOD
2005
ACM
136views Database» more  SIGMOD 2005»
16 years 5 months ago
Peer-to-peer management of XML data: issues and research challenges
Peer-to-peer (p2p) systems are attracting increasing attention as an efficient means of sharing data among large, diverse and dynamic sets of users. The widespread use of XML as a...
Georgia Koloniari, Evaggelia Pitoura
EDBT
2011
ACM
231views Database» more  EDBT 2011»
14 years 8 months ago
Data integration with dependent sources
Data integration systems offer users a uniform interface to a set of data sources. Previous work has typically assumed that the data sources are independent of each other; however...
Anish Das Sarma, Xin Luna Dong, Alon Y. Halevy
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 5 months ago
Mining favorable facets
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...
SIGECOM
2010
ACM
164views ECommerce» more  SIGECOM 2010»
15 years 9 months ago
Automated market-making in the large: the gates hillman prediction market
We designed and built the Gates Hillman Prediction Market (GHPM) to predict the opening day of the Gates and Hillman Centers, the new computer science buildings at Carnegie Mellon...
Abraham Othman, Tuomas Sandholm