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» Clustering by Similarity in an Auxiliary Space
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123
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ILP
2007
Springer
15 years 6 months ago
Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases
Several activities related to semantically annotated resources can be enabled by a notion of similarity, spanning from clustering to retrieval, matchmaking and other forms of induc...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
137
Voted
ADBIS
2007
Springer
145views Database» more  ADBIS 2007»
15 years 6 months ago
A Method for Comparing Self-organizing Maps: Case Studies of Banking and Linguistic Data
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
Toomas Kirt, Ene Vainik, Leo Vohandu
85
Voted
CCGRID
2008
IEEE
15 years 6 months ago
Bad Words: Finding Faults in Spirit's Syslogs
—Accurate fault detection is a key element of resilient computing. Syslogs provide key information regarding faults, and are found on nearly all computing systems. Discovering ne...
Jon Stearley, Adam J. Oliner
99
Voted
CIKM
2011
Springer
14 years 10 days ago
Probabilistic near-duplicate detection using simhash
This paper offers a novel look at using a dimensionalityreduction technique called simhash [8] to detect similar document pairs in large-scale collections. We show that this algo...
Sadhan Sood, Dmitri Loguinov
108
Voted
ICTAI
2008
IEEE
15 years 6 months ago
An Incremental Hough Transform for Detecting Ellipses in Image Data Streams
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Tra...
Sofiane Sellah, Olfa Nasraoui