151 search results - page 5 / 31 » Fuzzifying Clustering Algorithms: The Case Study of MajorClu... |
ICEIS
2008
IEEE
14 years 2 months ago
2008
IEEE
Corporate fraud these days represents a huge cost to our economy. Academic literature already concentrated on how data mining techniques can be of value in the fight against frau...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
TALG
2010
13 years 2 months ago
2010
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
ISAAC
2009
Springer
14 years 2 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
SIGMOD
2009
ACM
14 years 2 months ago
2009
ACM
Mobile communication data analysis has been often used as a background application to motivate many data mining problems. However, very few data mining researchers have a chance t...