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CLOUD
2010
ACM
13 years 11 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
GFKL
2005
Springer
167views Data Mining» more  GFKL 2005»
14 years 7 days 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...
SAC
2006
ACM
14 years 20 days ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
WSDM
2012
ACM
254views Data Mining» more  WSDM 2012»
12 years 2 months ago
Maximizing product adoption in social networks
One of the key objectives of viral marketing is to identify a small set of users in a social network, who when convinced to adopt a product will influence others in the network l...
Smriti Bhagat, Amit Goyal 0002, Laks V. S. Lakshma...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 7 days ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann