679 search results - page 48 / 136 » Scaling Clustering Algorithms to Large Databases |
130
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IFIP12
2008
15 years 3 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
120
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SIGMOD
2001
ACM
16 years 1 months ago
2001
ACM
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
129
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CIKM
2009
Springer
15 years 8 months ago
2009
Springer
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
122
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KDD
2005
ACM
15 years 7 months ago
2005
ACM
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
201
Voted
SIGMOD
2009
ACM
16 years 1 months ago
2009
ACM
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...