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SIGIR
2012
ACM
13 years 9 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
SIGMOD
2007
ACM
195views Database» more  SIGMOD 2007»
16 years 6 months ago
Effective variation management for pseudo periodical streams
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...
Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Don...
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
16 years 8 months ago
On Randomization, Public Information and the Curse of Dimensionality
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
Charu C. Aggarwal
DAC
2000
ACM
16 years 7 months ago
METRICS: a system architecture for design process optimization
We describe METRICS, a system to recover design productivity via new infrastructure for design process optimization. METRICS seeks to treat system design and implementation as a s...
Stephen Fenstermaker, David George, Andrew B. Kahn...
WWW
2005
ACM
16 years 7 months ago
Duplicate detection in click streams
We consider the problem of finding duplicates in data streams. Duplicate detection in data streams is utilized in various applications including fraud detection. We develop a solu...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
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