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» On the Complexity of Mining Temporal Trends
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CIKM
2004
Springer
13 years 11 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
ECIR
2010
Springer
13 years 7 months ago
Mining Anchor Text Trends for Retrieval
Anchor text has been considered as a useful resource to complement the representation of target pages and is broadly used in web search. However, previous research only uses anchor...
Na Dai, Brian D. Davison
ESWA
2006
161views more  ESWA 2006»
13 years 5 months ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman
CSE
2009
IEEE
14 years 12 days 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...
KI
2004
Springer
13 years 11 months ago
Mining Hierarchical Temporal Patterns in Multivariate Time Series
Abstract. The Unification-based Temporal Grammar is a temporal extension of static unification-based grammars. It defines a hierarchical temporal rule language to express comple...
Fabian Mörchen, Alfred Ultsch