Data Mining in Web Services Discovery and Monitoring

The business needs, the availability of huge volumes of data and the continuous evolution in Web services functions derive the need of application of data mining in the Web service domain. This paper recommends several data mining applications that can leverage problems concerned with the discovery and monitoring of Web services. This paper then presents a case study on applying the clustering data mining technique to the Web service usage data to improve the Web service discovery process. This paper also discusses the challenges that arise when applying data mining to Web services usage data and abstract information.

[1]  A. K. Pujari,et al.  Data Mining Techniques , 2006 .

[2]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[3]  Minder Chen,et al.  Factors affecting the adoption and diffusion of XML and Web services standards for E-business systems , 2003, Int. J. Hum. Comput. Stud..

[4]  Liang-Jie Zhang,et al.  Web Services Research for Emerging Applications: Discoveries and Trends , 2010 .

[5]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[6]  Takahiro Kawamura,et al.  Semantic Matching of Web Services Capabilities , 2002, SEMWEB.

[7]  Boi Faltings,et al.  A Flexible Directory Query Language for the Efficient Processing of Service Composition Queries , 2007, Int. J. Web Serv. Res..

[8]  Gerald C. Gannod,et al.  Model-Driven Semantic Web Services , 2008 .

[9]  Dean Kuo,et al.  A Framework and Protocols for Service Contract Agreements Based on International Contract Law , 2009, Int. J. Web Serv. Res..

[10]  Bhavani M. Thuraisingham,et al.  Privacy-Preserving Data Mining: Development and Directions , 2005, J. Database Manag..

[11]  Peter A. Bloniarz,et al.  A cost and performance model for Web service investment , 2000, CACM.

[12]  Liping Di,et al.  Geospatial Web Services: Advances in Information Interoperability , 2010 .

[13]  Toshinori Munakata,et al.  Knowledge discovery , 1999, Commun. ACM.

[14]  Marietjie Schutte,et al.  Managing Web Service Quality: Measuring Outcomes and Effectiveness , 2009 .

[15]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[16]  Paolo Falcarin,et al.  Broadening JAIN-SLEE with a Service Description Language and Asynchronous Web Services , 2010 .

[17]  Euripides G. M. Petrakis,et al.  Semantic similarity methods in wordNet and their application to information retrieval on the web , 2005, WIDM '05.

[18]  Li Li,et al.  Ontology-Based Matchmaking in e-Marketplace with Web Services , 2005, APWeb.

[19]  J. Roy,et al.  Understanding Web services , 2001 .

[20]  Sang-Jo Lee,et al.  The Construction of Domain Ontology and Its Application to Document Retrieval , 2004, ADVIS.

[21]  Munindar P. Singh,et al.  A DAML-based repository for QoS-aware semantic Web service selection , 2004 .

[22]  D. Clark Next-generation web services , 2002, IEEE Internet Computing.

[23]  J. Ross Quinlan,et al.  Simplifying Decision Trees , 1987, Int. J. Man Mach. Stud..

[24]  Eleni Stroulia,et al.  Semantic Structure Matching for Assessing Web-Service Similarity , 2003, ICSOC.

[25]  Ji-Rong Wen,et al.  Query clustering using user logs , 2002, TOIS.

[26]  Ana Fernández Vilas,et al.  Virtual Web Services: Extension Architecture to Alleviate Open Problems in Web Services Technology , 2009 .

[27]  Choh-Man Teng Learning from Dissociations , 2002, DaWaK.

[28]  José Juan Pazos-Arias,et al.  High Availability with Clusters of Web Services , 2004, APWeb.

[29]  Bamshad Mobasher,et al.  Web Usage Mining and Personalization , 2004, The Practical Handbook of Internet Computing.

[30]  Hendrik Blockeel,et al.  Web mining research: a survey , 2000, SKDD.

[31]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

[32]  Tran Cao Son,et al.  Semantic Web Services , 2001, IEEE Intell. Syst..

[33]  Manu Malek,et al.  Data Mining Techniques for Security of Web Services , 2004, ICETE.

[34]  Haixun Wang,et al.  Landmarks: a new model for similarity-based pattern querying in time series databases , 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

[35]  Jay L. Devore,et al.  Probability and statistics for engineering and the sciences , 1982 .

[36]  Bin Yu,et al.  Web Services Discovery with Rough Sets , 2009, Int. J. Web Serv. Res..

[37]  Jun Zhang,et al.  Simlarity Search for Web Services , 2004, VLDB.

[38]  Doug Beeferman,et al.  Agglomerative clustering of a search engine query log , 2000, KDD '00.

[39]  Richi Nayak,et al.  Applications of Data Mining in Web Services , 2004, WISE.

[40]  Aboul Ella Hassanien,et al.  Developing Advanced Web Services through P2P Computing and Autonomous Agents: Trends and Innovations , 2010 .

[41]  Vishal Dwivedi Providing Web Services Security SLA Guarantees: Issues and Approaches , 2009 .

[42]  Sheila A. McIlraith,et al.  A Bottom-Up Approach to Automating Web Service Discovery, Customization, and Semantic Translation , 2003 .