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122
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SAC
2010
ACM
15 years 9 months ago
Hypothesis generation and ranking based on event similarities
Accelerated by the technological advances in the domain, the size of the biomedical literature has been growing rapidly. As a result, it is not feasible for individual researchers...
Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara
119
Voted
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
15 years 9 months ago
Clustering Uncertain Data with Possible Worlds
The topic of managing uncertain data has been explored in many ways. Different methodologies for data storage and query processing have been proposed. As the availability of manag...
Peter Benjamin Volk, Frank Rosenthal, Martin Hahma...
123
Voted
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,...
148
Voted
CSE
2009
IEEE
15 years 9 months ago
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...
115
Voted
ICDM
2009
IEEE
121views Data Mining» more  ICDM 2009»
15 years 9 months ago
Finding Time Series Motifs in Disk-Resident Data
—Time series motifs are sets of very similar subsequences of a long time series. They are of interest in their own right, and are also used as inputs in several higher-level data...
Abdullah Mueen, Eamonn J. Keogh, Nima Bigdely Sham...