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» Well Founded Semantics as Two dimensional Here and There
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DAGSTUHL
2007
13 years 9 months ago
Exploiting the ASM method within the Model-driven Engineering paradigm
act notation, so separating the abstract syntax and semantics of the language constructs from their different concrete notations. Although the foundation constituents of the MDE a...
Angelo Gargantini, Elvinia Riccobene, Patrizia Sca...
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
14 years 8 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
ICANN
2003
Springer
14 years 25 days ago
Supervised Locally Linear Embedding
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number of attractive features: it does not require an ite...
Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti ...
SDM
2011
SIAM
370views Data Mining» more  SDM 2011»
12 years 10 months ago
Sparse Latent Semantic Analysis
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
WWW
2003
ACM
14 years 8 months ago
?-Queries: enabling querying for semantic associations on the semantic web
This paper presents the notion of Semantic Associations as complex relationships between resource entities. These relationships capture both a connectivity of entities as well as ...
Kemafor Anyanwu, Amit P. Sheth