2450 search results - page 213 / 490 » Mining Model Trees from Spatial Data |
154
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KDD
2006
ACM
16 years 4 months ago
2006
ACM
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
147
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IGIS
1994
15 years 8 months ago
1994
There have been many interpolation methods developed over the years, each with their own problems. One of the biggest limitations in many applications is the non-correspondence of...
156
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KDD
2012
ACM
13 years 6 months ago
2012
ACM
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
155
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SBACPAD
2003
IEEE
15 years 9 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
169
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DAWAK
2001
Springer
15 years 8 months ago
2001
Springer
We present a framework for visualizing remote distributed data sources using a multi-user immersive virtual reality environment. DIVE-ON is a system prototype that consolidates dis...