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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 7 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
CIKM
2008
Springer
15 years 7 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
175
Voted
CIKM
2008
Springer
15 years 7 months ago
Fast mining of complex time-stamped events
Given a collection of complex, time-stamped events, how do we find patterns and anomalies? Events could be meetings with one or more persons with one or more agenda items at zero ...
Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, ...
190
Voted
DOLAP
2005
ACM
15 years 7 months ago
Applying MDA to the development of data warehouses
Different modeling approaches have been proposed to overcome every design pitfall of the development of the different parts of a data warehouse (DW) system. However, they are all ...
Jose-Norberto Mazón, Juan Trujillo, Manuel ...
148
Voted
ELPUB
2008
ACM
15 years 6 months ago
A review of journal policies for sharing research data
Background: Sharing data is a tenet of science, yet commonplace in only a few subdisciplines. Recognizing that a data sharing culture is unlikely to be achieved without policy gui...
Heather A. Piwowar, Wendy Webber Chapman
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