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» Improving Mining Quality by Exploiting Data Dependency
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WSDM
2009
ACM
172views Data Mining» more  WSDM 2009»
15 years 11 months ago
Clustering the tagged web
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...
MICRO
1997
IEEE
108views Hardware» more  MICRO 1997»
15 years 8 months ago
Improving the Accuracy and Performance of Memory Communication Through Renaming
As processors continue to exploit more instruction level parallelism, a greater demand is placed on reducing the e ects of memory access latency. In this paper, we introduce a nov...
Gary S. Tyson, Todd M. Austin
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
16 years 1 months ago
Speeding Up Secure Computations via Embedded Caching.
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
K. Zhai, W. K. Ng, A. R. Herianto, S. Han
WWW
2011
ACM
14 years 11 months ago
Improving recommendation for long-tail queries via templates
The ability to aggregate huge volumes of queries over a large population of users allows search engines to build precise models for a variety of query-assistance features such as ...
Idan Szpektor, Aristides Gionis, Yoelle Maarek
ICPP
2000
IEEE
15 years 9 months ago
Partial Resolution in Data Value Predictors
Recently, the practice of speculation in resolving data dependences has been studied as a means of extracting more instruction level parallelism (ILP). An outcome of an instructio...
Toshinori Sato, Itsujiro Arita