کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
385500 660867 2007 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An interoperable and scalable Web-based system for classifier sharing and fusion
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
An interoperable and scalable Web-based system for classifier sharing and fusion
چکیده انگلیسی

This paper describes CSF/DC, a Web-based system for classifier sharing and fusion. CSF/DC enables the sharing of classification models, by allowing the upload and download of such models expressed in the industry standard PMML language on the system’s online classifier repository. CSF/DC also leverages the individual knowledge shared by such (potentially heterogeneous) classification models and offers quality decision support to any user with an Internet connection through a guided procedure. However, some organizations or individuals might want to share the predictive capabilities of their classification models without compromising their internal structure. This is accommodated by CSF/DC through the use of Web services. Specifically, CSF/DC allows the participation of classifier Web services in the decision fusion process, by offering the necessary online mechanisms for the registration and invocation of such Web services developed and installed at remote sites.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 33, Issue 3, October 2007, Pages 716–724
نویسندگان
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