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» An algorithmic approach to event summarization
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KDD
2005
ACM
151views Data Mining» more  KDD 2005»
15 years 10 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
ICDCS
2010
IEEE
14 years 10 months ago
Efficient Workstealing for Multicore Event-Driven Systems
Many high-performance communicating systems are designed using the event-driven paradigm. As multicore platforms are now pervasive, it becomes crucial for such systems to take adva...
Fabien Gaud, Sylvain Geneves, Renaud Lachaize, Bap...
PODC
2004
ACM
15 years 3 months ago
Group membership: a novel approach and the first single-round algorithm
We establish a new worst-case upper bound on the Membership problem: We present a simple algorithm that is able to always achieve Agreement on Views within a single message latenc...
Roger I. Khazan
WWW
2008
ACM
15 years 10 months ago
Using subspace analysis for event detection from web click-through data
Although most of existing research usually detects events by analyzing the content or structural information of Web documents, a recent direction is to study the usage data. In th...
Ling Chen 0002, Yiqun Hu, Wolfgang Nejdl
IR
2010
14 years 7 months ago
Sentence-level event classification in unstructured texts
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Text Summarisation....
Martina Naughton, Nicola Stokes, Joe Carthy