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» A Clustering Algorithm Based Absorbing Nearest Neighbors
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SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
14 years 13 days ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
IJCNN
2000
IEEE
14 years 12 hour ago
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
Xuequn Li, Irwin King
SAC
2004
ACM
14 years 1 months ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo
MOBIHOC
2005
ACM
14 years 7 months ago
Inducing spatial clustering in MAC contention for spread spectrum ad hoc networks
This paper proposes a new principle for designing MAC protocols for spread spectrum based ad hoc networks ? inducing spatial clustering in contending transmitters/receivers. We fi...
Xiangying Yang, Gustavo de Veciana
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 4 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal