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» CURE: An Efficient Clustering Algorithm for Large Databases
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DIS
2004
Springer
15 years 3 months ago
An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases
: The class of closed patterns is a well known condensed representations of frequent patterns, and have recently attracted considerable interest. In this paper, we propose an effic...
Takeaki Uno, Tatsuya Asai, Yuzo Uchida, Hiroki Ari...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 8 days ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
GI
2008
Springer
15 years 24 days ago
A Self-Organized Localization-Free Clustering Approach for Redundancy Exploitation in Large Wireless Sensor Networks
: This paper investigates organization problems of large wireless sensor networks. In spite of their random deployment, nodes have to organize themselves as energy efficient as pos...
Jakob Salzmann
FQAS
2004
Springer
146views Database» more  FQAS 2004»
15 years 3 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
PODS
2006
ACM
107views Database» more  PODS 2006»
15 years 12 months ago
Programmable clustering
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...
Sreenivas Gollapudi, Ravi Kumar, D. Sivakumar