Reliability and clear semantics in the presence of errors are of key importance for automated execution of business processes. Consequently, transaction support is a major ingredient for business process automation in a Service-Oriented Computing (SOC) environment. As automated business processes become more complex, different parts of business processes have different transaction requirements....

Cross-organizational workflow management is an essential ingredient for process integration in virtual enterprises. To obtain cross-organizational workflow processes with robust semantics, these processes should be supported by highlevel cross-organizational transaction management. In this context, transaction management should support both intraand inter-organizational transaction semantics. A...

The Database State Machine (DBSM) is a replication mechanism for clusters of database servers. Read-only and update transactions are executed locally, but during commit, update transactions execution outcome is broadcast to all the servers for certification. The main DBSM’s weakness lies in its dependency on transaction readsets, needed for certification. This paper presents a technique to bypa...

Based on ethnographic studies of two business-to-business (B2B) electronic commerce (EC) marketplaces and a review of interorganizational relationship literature, this paper proposes a model explaining why organizations form alliances to create and why organizations join B2B EC marketplaces. This paper proposes viewing B2B EC marketplaces as a public good. The paper uses public good theory as a...

Conventional mechanisms for electronic commerce provide strong means for securing transfer of funds, and for ensuring such things as authenticity and non-repudiation. But they generally do not attempt to regulate the activities of the participants in an e-commerce transaction, treating them, implicitly, as autonomous agents. This is adequate for most cases of client-to-vendor commerce, but is q...

Kashmiri is a resource poor language with very less computational and language resources available for its text processing. As the main contribution of this paper, we present an initial version of the Kashmiri Dependency Treebank. The treebank consists of 1,000 sentences (17,462 tokens), annotated with part-of-speech (POS), chunk and dependency information. The treebank has been manually annota...

Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have some impact to the system. There are various methods from the areas of statistics and data mining for that purpose. In this article we propose PREVENT, an algorithm which uses inter-transactional patterns for the predic...

A large volume of transaction data is generated everyday in a number of applications. These dynamic data sets have immense potential for reflecting changes in customer behaviour patterns. One of the strategies of data mining is association rule discovery which correlates the occurrence of certain attributes in the database leading to the identification of large data itemsets. This chapter seeks...