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» Gossip algorithms: design, analysis and applications
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WWW
2004
ACM
15 years 10 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
15 years 9 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 9 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
15 years 9 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang
VLSID
2001
IEEE
164views VLSI» more  VLSID 2001»
15 years 9 months ago
An Efficient Parallel Transparent Bist Method For Multiple Embedded Memory Buffers
In this paper, we propose a new transparent built-in self-test ( TBIST ) method to test multiple embedded memory arrays with various sizes in parallel. First, a new transparent tes...
Der-Cheng Huang, Wen-Ben Jone, Sunil R. Das