RETRACTED ARTICLE: Mining interesting actionable patterns for web service composition
العنوان: | RETRACTED ARTICLE: Mining interesting actionable patterns for web service composition |
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المؤلفون: | S. Kannimuthu, D. Gowtham Chakravarthy |
المصدر: | Journal of Ambient Intelligence and Humanized Computing. 12:6181-6187 |
بيانات النشر: | Springer Science and Business Media LLC, 2020. |
سنة النشر: | 2020 |
مصطلحات موضوعية: | 0209 industrial biotechnology, General Computer Science, Computer science, SOAP, computer.internet_protocol, Computational intelligence, 02 engineering and technology, computer.software_genre, Task (project management), Variety (cybernetics), World Wide Web, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, Web service composition, 020201 artificial intelligence & image processing, Web service, computer, Composition (language), XML |
الوصف: | Web services are the way of integrating the web related applications using the XML, SOAP, WSDL and UDDI protocols in a standardized manner. Web service composition is the primary task of composing variety of different services on composite applications. Effective web service composition is not an easy task. This paper proposes a novel framework for extracting the interesting actionable patterns for effective web services for composition. This algorithm utilizes utility based data mining for extracting high utility actionable patterns for web service composition. Experimental results show that HUI-Miner approach outperforms well in terms of running time efficiency for our framework. |
تدمد: | 1868-5145 1868-5137 |
DOI: | 10.1007/s12652-020-02187-5 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::5bd79697b052715f62c3379d37feeab4 https://doi.org/10.1007/s12652-020-02187-5 |
Rights: | CLOSED |
رقم الانضمام: | edsair.doi...........5bd79697b052715f62c3379d37feeab4 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 18685145 18685137 |
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DOI: | 10.1007/s12652-020-02187-5 |