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» An Empirical Study on Web Mining of Parallel Data
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WWW
2006
ACM
15 years 10 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
IEEEPACT
2008
IEEE
15 years 4 months ago
The PARSEC benchmark suite: characterization and architectural implications
This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). Prev...
Christian Bienia, Sanjeev Kumar, Jaswinder Pal Sin...
GFKL
2005
Springer
167views Data Mining» more  GFKL 2005»
15 years 3 months ago
Quantitative Text Typology: The Impact of Sentence Length
Abstract. This study focuses on the contribution of sentence length for a quantitative text typology. Therefore, 333 Slovenian texts are analyzed with regard to their sentence leng...
Emmerich Kelih, Peter Grzybek, Gordana Antic, Erns...
KAIS
2006
126views more  KAIS 2006»
14 years 9 months ago
Fast and exact out-of-core and distributed k-means clustering
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Ruoming Jin, Anjan Goswami, Gagan Agrawal
ESWS
2010
Springer
14 years 8 months ago
The Semantic Gap of Formalized Meaning
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Sebastian Hellmann