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» Mining from Large Image Sets
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VLDB
1998
ACM
95views Database» more  VLDB 1998»
15 years 10 months ago
RainForest - A Framework for Fast Decision Tree Construction of Large Datasets
Classification of large datasets is an important data mining problem. Many classification algorithms have been proposed in the literature, but studies have shown that so far no al...
Johannes Gehrke, Raghu Ramakrishnan, Venkatesh Gan...
KDD
2005
ACM
117views Data Mining» more  KDD 2005»
16 years 6 months ago
Rule extraction from linear support vector machines
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
Glenn Fung, Sathyakama Sandilya, R. Bharat Rao
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 8 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
ICIP
2005
IEEE
15 years 11 months ago
Mining arbitrary-length repeated patterns in television broadcast
Mining repeated patterns in television broadcast is important to advertisers in tracking a large number of television commercials. It can also benefit long-term archival of telev...
Sen-Ching S. Cheung, Thinh Nguyen
FPL
2008
Springer
122views Hardware» more  FPL 2008»
15 years 7 months ago
Mining Association Rules with systolic trees
Association Rules Mining (ARM) algorithms are designed to find sets of frequently occurring items in large databases. ARM applications have found their way into a variety of field...
Song Sun, Joseph Zambreno