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...
In recent years, data provenance or lineage tracing which refers to the process of tracing the sources of data, data movement between databases, and annotations written for data ha...
In most database systems with production rule facilities, rules respond to operations on centralized data and rule processing is performed in a centralized, sequential fashion. In ...
Time-sharing operating systems may delay application processing of incoming messages because other processes are scheduled when the messages arrive. In this paper, we present a sim...
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...