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» Practical Preference Relations for Large Data Sets
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JISE
2010
144views more  JISE 2010»
14 years 11 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
JAIR
2010
132views more  JAIR 2010»
15 years 3 months ago
Using Local Alignments for Relation Recognition
This paper discusses the problem of marrying structural similarity with semantic relatedness for Information Extraction from text. Aiming at accurate recognition of relations, we ...
Sophia Katrenko, Pieter W. Adriaans, Maarten van S...
SDM
2009
SIAM
185views Data Mining» more  SDM 2009»
16 years 2 months ago
Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Bin Zhou 0002, Jian Pei, Yan Jia, Yi Han
FQAS
2004
Springer
146views Database» more  FQAS 2004»
15 years 8 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
CCS
2007
ACM
15 years 11 months ago
Pors: proofs of retrievability for large files
In this paper, we define and explore proofs of retrievability (PORs). A POR scheme enables an archive or back-up service (prover) to produce a concise proof that a user (verifier...
Ari Juels, Burton S. Kaliski Jr.