Abstract
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.
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23 June 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12652-022-04209-w
References
Asghari P, Rahmani AM, Javadi HHS (2020) Privacy-aware cloud service composition based on QoS optimization in Internet of Things. J Ambient Intell Hum Comput. https://doi.org/10.1007/s12652-020-01723-7
Chen F, Li M, Wu H (2017) GACRM: a dynamic multi-attribute decision-making approach to large-scale web service composition. Appl Soft Comput 61:947–958
Cheng J, Liu C, Zhou MC, Zeng Q, Ylä-Jääski A (2015) Automatic composition of semantic web services based on fuzzy predicate petri nets. IEEE Trans Autom Sci Eng 12(2):680–689
Kannimuthu S, Premalatha K (2012) A novel approach to extract high utility itemsets from distributed databases. Comput Inform J 31(6):1597–1615
Kannimuthu S, Premalatha K (2014) Discovery of high utility itemsets using genetic algorithm with ranked mutation. Appl Artif Intell 28:337–359
Kannimuthu S, Premalatha K (2015) UP-GNIV: an expeditious high utility pattern mining algorithm for itemsets with negative utility values. Int J Inf Technol Manag 14(1):26–42
Lalit P, Kumar S (2018) A classification based web service selection approach. IEEE Trans Serv Comput. https://doi.org/10.1109/TSC.2018.2805352
Liu M, Qu J (2012) Mining high utility itemsets without candidate generation. In: Proceedings of the 21st ACM international conference on information and knowledge management, pp 55–64
Liu Y, Liao W, Choudhary A (2005) A two-phase algorithm for fast discovery of high utility itemsets. In 9th Pacific-Asia conference on advances in knowledge discovery and data mining (PAKDD 2005), Lecture notes in computer science, vol 3518, Springer, Berlin, pp 689–695
Liu Z-Z, Chu D-H, Jia Z-P, Shen J-Q, Wang L (2016) Two-stage approach for reliable dynamic web service composition. Knowl Based Syst 97:123–143
Maheswari S, Karpagam GR (2011) QoS based efficient web service selection. Eur J Sci Res 66(3):428–440
Majitha S, Shaikhali A, Rana O, Walker D (2004) Reputation based semantic service discovery. In: Proceedings of the 13th IEEE international workshops on enabling technologies infrastructures for collaborative enterprises (WETICE), Modena, Italy, pp 297–302
Mallayya D, Ramachandran B, Viswanathan S (2015) An automatic web service composition framework using QoS-based web service ranking algorithm. Sci World J 2015:1–14
Maximilien EM, Singh MP (2001) Reputation and endorsement for web services. ACM SIGecom Exch 3(1):24–31
Ramíreza A, Parejo JA, Romero JR, Segura S, Ruiz-Cortés A (2017) Evolutionary composition of QoS-aware web services: a many-objective perspective. Expert Syst Appl 72:357–370
Rodriguez-Mier P, Pedrinaci C, Lama M, Mucientes M (2016) An integrated semantic web service discovery and composition framework. IEEE Trans Serv Comput 9(4):537–550
Sathya M, Swarnamugi M, Dhavachelvan P, Sureshkumar G (2011) Evaluation of QoS based web-service selection techniques for service composition. Int J Softw Eng (IJSE) 1(5):73–90
Wang H, Zou B, Guo G, Yang D, Zhang J (2017) Integrating trust with user preference for effective web service composition. IEEE Trans Serv Comput 10(4):574–588
**aofeiLiu XZ, Wang Z, Sheng QZ, Yu J, Wang X (2017) S-ABC: a paradigm of service domain-oriented artificial bee colony algorithms for service selection and composition. Future Gener Comput Syst 68:304–319
Yu X, Li M, Kim T, Jeong S, Ryu KH (2012) An application of improved gap-BIDE algorithm for discovering access patterns. Appl Comput Intell Soft Comput 2012:1–7
Zhou X, Chen J, Wu B, ** Q (2014) Discovery of action patterns and user correlations in task-oriented processes for goal-driven learning recommendation. IEEE Trans Learn Technol 7(3):231–245
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Chakravarthy, D.G., Kannimuthu, S. RETRACTED ARTICLE: Mining interesting actionable patterns for web service composition. J Ambient Intell Human Comput 12, 6181–6187 (2021). https://doi.org/10.1007/s12652-020-02187-5
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DOI: https://doi.org/10.1007/s12652-020-02187-5