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Many association rule mining algorithms have been developed to extract interesting patterns from large databases. However, a large amount of knowledge explicitly represented in domain knowledge has not been used to reduce the number of association rules. A significant number of known associations are unnecessarily extracted by association rule mining algorithms. The result is the generation of hundreds...
Composite Web services are often long-running, loosely coupled and cross-organizational applications. They always run in a highly dynamic environment. For the applications and environment, advanced transaction support is required to ensure the quality of reliable execution. Towards composite service adaptive mechanism unavailable for lacking transaction support, this paper proposes a self-healing...
SaaS (software as a service), the new software application pattern has got wide attraction in both industry and academia. But transaction processing is a problem that prevents SaaS from wide spreading. To solve the problem, this paper proposes A business level compensation mechanism for multitenancy SaaS application transaction processing. The mechanism supports flexible and customizable transaction...
Web services can be composed together and interact with each other to carry out complex transactions or workflows. During the execution of an autonomic process, if one component service fails or becomes overloaded, a mechanism is needed to ensure that the running process is not interrupted and the failed service is quickly and efficiently replaced. This paper presents a novel Web services replacement...
Exception handling is an important issue in service composition domain, and its mechanism should be considered in the service composition process. When invoking the composite service, exception handling involves with not only process design and status, but also service execution status. This paper proposes a context-sensitive ECA Rule based approach to analyze composite service exception (ANALEPTIC),...
A novel grey relational operator is introduced that can be viewed as an extension of the well known gradient operator. In this approach, the factors of the referential sequence are the ideal non-noise pixel and its around pixels, and the factors of the comparative sequence are the local image pixel and its around pixels. The grey relational degree can be calculated according to the grey relational...
The issue of fault location received extensive concern in the field of telecom network management. The data mining approaches is are introduced to extract clues from the telecom alarm data for fault location. Aiming at the key problems in telecom data mining, we have made a comprehensive analysis on the telecom network and its data as well as the fault propagation, some important characteristics are...
The efficiency of alarm mining in large scale network is a hot topic in research area of fault location. Many projects have been utilized to improve it and some advance has been achieved, but it is still not very satisfied. Large scale telecom system daily generates large numbers of original alarm records and many of them are redundant information, actually useful information for fault location is...
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