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» Informative sampling for large unbalanced data sets
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153
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WWW
2006
ACM
16 years 4 months ago
Time-dependent semantic similarity measure of queries using historical click-through data
It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of clickthrough data logged by Web search engines, which record the...
Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Soura...
JMLR
2010
195views more  JMLR 2010»
15 years 2 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
142
Voted
IV
2007
IEEE
158views Visualization» more  IV 2007»
15 years 10 months ago
Applying Animation to the Visual Analysis of Financial Time-Dependent Data
For decades, financial analysts have strived to use modern data visualization tools to improve the timeliness and quality of their analysis. As the amount of data to be processed ...
Tatiana Tekusova, Jörn Kohlhammer
DAWAK
2001
Springer
15 years 8 months ago
Towards a Novel OLAP Interface for Distributed Data Warehouses
We present a framework for visualizing remote distributed data sources using a multi-user immersive virtual reality environment. DIVE-ON is a system prototype that consolidates dis...
Ayman Ammoura, Osmar R. Zaïane, Randy Goebel
SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
15 years 5 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...