Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
In this paper, we analyze the stability of large scale superpeer networks against attacks. Two different kinds of attacks namely deterministic and degree dependent attack have bee...
Abstract. This paper describes AutoNetkit, an auto-configuration tool for complex network emulations using Netkit, allowing large-scale networks to be tested on commodity hardware....
Hung X. Nguyen, Matthew Roughan, Simon Knight, Nic...
The probabilistic relation between verbs and their arguments plays an important role in modern statistical parsers and supertaggers, and in psychological theories of language proc...