1385 search results - page 49 / 277 » Clustering by Random Projections |
KDD
2003
ACM
16 years 7 days ago
2003
ACM
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
101
click to vote
ESEM
2007
ACM
15 years 1 months ago
2007
ACM
The quality of software measurement data affects the accuracy of project manager’s decision making using estimation or prediction models and the understanding of real project st...
SODA
2010
ACM
15 years 9 months ago
2010
ACM
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
ECML
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
JSS
2007
14 years 11 months ago
2007
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...