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» How Can Data Mining Help Bio-Data Analysis
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123
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KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 9 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...
DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
15 years 8 months ago
Adaptively Detecting Aggregation Bursts in Data Streams
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
Aoying Zhou, Shouke Qin, Weining Qian
141
Voted
KDD
2006
ACM
200views Data Mining» more  KDD 2006»
16 years 3 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini
175
Voted
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 6 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
127
Voted
ESCIENCE
2006
IEEE
15 years 6 months ago
Grid-Based Data Stream Processing in e-Science
The field of e-science currently faces many challenges. Among the most important ones are the analysis of huge volumes of scientific data and the connection of various sciences an...
Richard Kuntschke, Tobias Scholl, Sebastian Huber,...