124 search results - page 4 / 25 » Scalable Model-based Clustering by Working on Data Summaries |
DMKD
1997
ACM
13 years 11 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
AAAI
2006
13 years 9 months ago
2006
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
EMNLP
2008
13 years 9 months ago
2008
This paper explores the challenge of scaling up language processing algorithms to increasingly large datasets. While cluster computing has been available in commercial environment...
CIKM
2006
Springer
13 years 9 months ago
2006
Springer
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
JPDC
2006
13 years 7 months ago
2006
Previous studies indicate that I/O could become a performance bottleneck in commodity PC-based cluster Web servers. Current local native file systems do not work well for expensiv...