Sciweavers

2227 search results - page 151 / 446
» Graph Mining based on a Data Partitioning Approach
Sort
View
106
Voted
ICMLA
2004
15 years 2 months ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague
109
Voted
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
15 years 7 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
WADS
2007
Springer
180views Algorithms» more  WADS 2007»
15 years 7 months ago
Spanners for Geometric Intersection Graphs
A ball graph is an intersection graph of a set of balls with arbitrary radii. Given a real number t > 1, we say that a subgraph G′ of a graph G is a t-spanner of G, if for eve...
Martin Fürer, Shiva Prasad Kasiviswanathan
MSR
2006
ACM
15 years 6 months ago
Concern based mining of heterogeneous software repositories
In the current trend of software engineering, software systems are viewed as clusters of overlapping structures representing various concerns, covering heterogeneous artifacts lik...
Imed Hammouda, Kai Koskimies
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 5 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...