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» Phenomenal Data Mining: From Data to Phenomena
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SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
15 years 8 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
KDD
1998
ACM
140views Data Mining» more  KDD 1998»
15 years 11 months ago
Blurring the Distinction between Command and Data in Scientific KDD
We have been working on two different KDD systems for scientific data. One system involves comparative genomics, where the database contains more than 60,000 plant gene and protei...
John V. Carlis, Elizabeth Shoop, Scott Krieger
192
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WWW
2006
ACM
16 years 7 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...
287
Voted
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 8 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
KDD
2007
ACM
186views Data Mining» more  KDD 2007»
16 years 7 months ago
An Ad Omnia Approach to Defining and Achieving Private Data Analysis
We briefly survey several privacy compromises in published datasets, some historical and some on paper. An inspection of these suggests that the problem lies with the nature of the...
Cynthia Dwork