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117
Voted
SSDBM
2010
IEEE
15 years 8 months ago
2010
IEEE
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
112
Voted
AAAI
2010
15 years 5 months ago
2010
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
152
Voted
BMCBI
2010
15 years 1 months ago
2010
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
116
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ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper deals with clustering of spatially distributed data using wireless sensor networks. A distributed low-complexity clustering algorithm is developed that requires one-hop...
153
Voted
APWEB
2010
Springer
15 years 3 months ago
2010
Springer
Binary semantic relation extraction is particularly useful for various NLP and Web applications. Currently Webbased methods and Linguistic-based methods are two types of leading me...