This paper surveys distributed computing techniques used in the implementation of BEA WebLogic Server. It discusses how application servers provide a distributed transactional inf...
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
A flexible method to store XML documents in relational or object-relational databases is presented that is based on an adaptable fragmentation. Whereas most known approaches decom...
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Abstract. Frequent itemsets and association rules are generally accepted concepts in analyzing item-based databases. The Apriori-framework was developed for analyzing categorical d...