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» Phenomenal Data Mining: From Data to Phenomena
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JUCS
2010
164views more  JUCS 2010»
15 years 5 months ago
On Sustainability of Context-Aware Services Among Heterogeneous Smart Spaces
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
Jason J. Jung
BMCBI
2008
123views more  BMCBI 2008»
15 years 6 months ago
Functional module detection by functional flow pattern mining in protein interaction networks
eraction networks. In this abstract, we extend this approach by mining functional flow patterns for the purpose of detecting small-sized modules for specific functions. Methods Our...
Young-Rae Cho, Lei Shi, Aidong Zhang
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 11 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott

Publication
197views
14 years 2 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
16 years 7 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa