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SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
16 years 7 months ago
Sampling cube: a framework for statistical olap over sampling data
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...
Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Y...
CIKM
2008
Springer
15 years 8 months ago
Tag data and personalized information retrieval
Researchers investigating personalization techniques for Web Information Retrieval face a challenge; that the data required to perform evaluations, namely query logs and clickthro...
Mark James Carman, Mark Baillie, Fabio Crestani
EDBTW
2010
Springer
15 years 5 months ago
Using web-based personalization on spatial data warehouses
Spatial data warehouses (SDW) rely on extended multidimensional (MD) models in order to provide decision makers with appropriate structures to intuitively analyse spatial data. Se...
Octavio Glorio, Jose-Norberto Mazón, Irene ...
CIKM
2006
Springer
15 years 8 months ago
Voting for candidates: adapting data fusion techniques for an expert search task
In an expert search task, the users' need is to identify people who have relevant expertise to a topic of interest. An expert search system predicts and ranks the expertise o...
Craig Macdonald, Iadh Ounis
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 7 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal