179 search results - page 31 / 36 » Parallel k h-Means Clustering for Large Data Sets |
111
Voted
ICDCS
2011
IEEE
13 years 11 months ago
2011
IEEE
— MapReduce has become an effective approach to big data analytics in large cluster systems, where SQL-like queries play important roles to interface between users and systems. H...
113
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CIKM
2009
Springer
15 years 6 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...
121
Voted
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
123
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EWCBR
2000
Springer
15 years 3 months ago
2000
Springer
This paper proposes a methodology of maintaining Case Based Reasoning (CBR) systems by using fuzzy decision tree induction - a machine learning technique. The methodology is mainly...
HPDC
2010
IEEE
15 years 23 days ago
2010
IEEE
MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavaila...