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...

Message Sequence Charts (MSC) have been traditionally used to depict execution scenarios in the early stages of design cycle. MSCs portray inter-process ( inter-object) interactions. Synthesizing intra-process (intra-object) executable specifications from an MSC-based description is a non-trivial task. Here we present a model called Communicating Transaction Processes (CTP) based on MSCs from w...

Debt detection is important for improving payment accuracy in social security. Since debt detection from customer transaction data can be generally modelled as a fraud detection problem, a straightforward solution is to extract features from transaction sequences and build a sequence classifier for debts. For long-running debt detections, the patterns in the transaction sequences may exhibit va...

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...

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...

The main theme of this paper is to find the Distributed Data Transaction of an Apache web server using bulk service rule. We obtain the parameter of service rate, Arrival rate, Expected waiting time and Expected Busy period. The inter arrival and inter service of HTTP request is assumed to Poisson Distribution Process (PDP) and these events are considered in the server for process sharing. The ...

Traditional workload management methods mainly focus on the current system status while information about the interaction between queued and running transactions is largely ignored. This paper proposes using transaction reordering, a workload management method that considers both the current system status and information about the interaction between queued and running transactions, to improve ...

Inter-provincial market trading is putting up with to implement the national energy strategy, increasing clean consuming and optimization allocation in large-scale. To promote consumption, inter-province power transmission channel’ potential needs be full excavate deal fluctuation, improving frequency reduce transaction period. This article puts an space calculation method calculate available a...