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In order to improve discrimination accuracy between Autism Spectrum Disorder (ASD) and similar neurodevelopmental disorders, a data mining procedure, Classification and Regression Trees (CART), was used on a large multi-site sample of PDD Behavior Inventory (PDDBI) forms on children with and without ASD. Discrimination accuracy exceeded 80 %, generalized to an independent validation set, and generalized...
Reuse is an important mechanism for improving the efficiency of software development. For Internet-scale software produced through service composition, the simple reuse granularity at service is often inefficient due to the large number of available services. This paper proposes a novel architecture which enables efficient reuse of process fragments. In the proposed architecture, services are organized...
The execution of process-oriented composite services described with BPMN has become a hot research topic. In this paper, we present a decentralized execution engine for BPMN-based composite services, the basic idea of which is to make a BPMN model directly executable without converting to another executable model. An executable BPMN model named BPD is first defined. Second, a set of algorithms are...
One of the challenging issues in web service research is to efficiently find appropriate services from large volumes of existing services. In this paper, we propose a WordNet-based Web service similarity mining mechanism called WSSM to address this issue. WSSM can effectively cluster services into different categories so as to reduce the searching space. As a result, it improves service discovery...
Development efficiency is an important factor for the Internet-scale software produced through services composition. In this paper, we aim at improving development efficiency from two aspects. One is to improve services discovery efficiency through recommendation, and the other is to provide a mechanism to reuse an existing composite service. We propose BestRec, a behavior similarity based approach...
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