179 search results - page 31 / 36 » Parallel k h-Means Clustering for Large Data Sets |
ICDCS
2011
IEEE
12 years 10 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...
CIKM
2009
Springer
14 years 5 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...
ECCV
2010
Springer
14 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...
EWCBR
2000
Springer
14 years 2 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
13 years 12 months 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...