156 search results - page 10 / 32 » The UCI KDD Archive of Large Data Sets for Data Mining Resea... |
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
APNOMS
2008
Springer
13 years 9 months ago
2008
Springer
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Recent years have witnessed increased interest in computing strongly correlated pairs in very large databases. Most previous studies have been focused on static data sets. However...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...