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» Graph Mining based on a Data Partitioning Approach
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KDD
2000
ACM
133views Data Mining» more  KDD 2000»
15 years 7 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
130
Voted
JCST
2008
121views more  JCST 2008»
15 years 3 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
CIKM
2008
Springer
15 years 5 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
140
Voted
NIPS
2003
15 years 4 months ago
Minimax Embeddings
Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
Matthew Brand
119
Voted
CAV
2009
Springer
165views Hardware» more  CAV 2009»
15 years 7 months ago
Equivalence Checking of Static Affine Programs Using Widening to Handle Recurrences
Designers often apply manual or semi-automatic loop and data transformations on array and loop intensive programs to improve performance. The transformations should preserve the fu...
Sven Verdoolaege, Gerda Janssens, Maurice Bruynoog...