iosr-JCE   Volume-7 ~ Issue-2

Abstract:Requirements engineering for business solutions have dealt with the elicitation, specification, validation, management and change to information systems to be accessed through PCs and workstations. As service based systems have many challenges to access the information. Thus there are many problems in security purpose so we have proposed objectiver approach tool which have been improve the authority. In this paper we also provide the application of online bank service to access the transaction of amount and encryption to user account. This paper summarizes some of the challenges and points to areas for research that should receive the attention of the RE community.
Keywords: Encryption, Objective approach tool, Requirement Engineering, Quality, Service

[1] Binde Luo, Zhiyong Shi, Dawei Ma, YIN Shi-ping. Design and Capacity Analysis of PoC Service based on TD-SCDMA Network, The 6th International Conference on Wireless Communications, etworking and Mobile Computing[C], 2010.
[2] Vehmas A. "Service adoption for push over cellular"[EB/OL], 2004, web page: www.tml.hut.fi/Opinnot/T-109.551/2004/reports/poc.pdf

[3] D. Roman, J. Scicluna, C. Feier, M. Stollberg & D. Fensel, ―Ontology-based Choreography and Orchestration of WSMO Services‖, http://www.wsmo.org/TR/d14/v0.1/, (online accessed= Jan 2011)

[4] Kevin Carey, Vincent Wade,‖ Realizing Adaptive Web Services through Automated Policy Refinement‖, IEEE, 2007

[5] Qiao Xiaoqiang, Wei Jun, "A Decentralized Services Choreography Approach for Business Collaboration, IEEE International Conference on Services Computing (SCC'06), 2006.

[6] M.P Papazoglou , P. Traverso, Schabram Dustdar & F. Leymann, (2007) ," Service-Oriented Computing: State of the Art and Research Challenges", Journal of Innovative Technology for Computer Professionals, IEEE Computer Society, November 2007.

[7] Erradi A., "Policy-Driven Framework for Manageable And Adaptive Service-Oriented Processes", PhD thesis, The school of Computer Science and Engineering(CSE), University of New South Wales(UNSW), June 2008.

[8] Martin, D., et al.,(Nov 2004), OWL-S: Semantic Markup for Web Services. DAML White Paper Release.

[9] Pahl,"Dynamic Adaptive Service Architecture .Towards Coordinated Service Composition", Lecture Notes in Computer Science, Software Architecture. M. Babar I.Gorton, Springer Berlin / Heidelberg. 6285:472-475, 2010, [doi: 10.1007/978-3-642-15114-9_43] [10] Souttar, J. Three Clicks and it's gone. Eye, The international review of graphical design, No. 36, Vol. 9, summer 2000, p.86

Abstract:There is a rapid development of World Wide Web in its volume of traffic and the size and complexity of web sites. In this paper, a new approach is presented based on hybrid clustering methods for Web Usage Mining (WUM). The WUM process contains three steps: pre-processing, data mining and result analysis. First, it gives a brief description of the WUM process and Web data, then the presentation of the pre-processing step and the data warehouse that were employed. The hybrid clustering methods based on Fuzzy C-means clustering are used for analyzing and the Web logs taken from the real world Web servers. The results obtained after applying these methods and the corresponding interpretations are also presented. Furthermore, this paper also described web usage mining through cloud computing i.e. cloud mining. The Future work of web mining is to introduce a hierarchy on the information about the website.
Keywords: Clustering, Web Usage Mining, WWW, Web logs, pre-processing, Data Warehouse, Cloud Computing

[1] Bamshad Mobasher, "Data Mining for Web Personalization," LCNS, Springer-Verleg Berlin Heidelberg, 2007.
[2] Jaideep Srivastave, Robert Cooley, Mukund Deshpande, Pang-Ning Tan, "Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data," SIGKDD Explorations. ACM SIGKDD,2000.
[3] Pierrakos. D, "Web usage mining as a tool for personalization: a survey", User Modeling and User-Adapted Interaction, 13(4), pp. 311-372.
[4] Ralph Kimball. Entrepots de donnees. Editions Vuibert, 2001.
[5] Luotonen. The common log file format. http://www.w3.org/Daemon/User/Config/ Logging.html, 1995.
[6] R. Cooley. Web Usage Mining: Discovery and Application of Interesting Patterns from Web Data. PhD thesis, University of Minnesota, May 2000
[7] M. Spiliopoulou, L. C. Faulstich, and K. Winkler. A data miner analyzing the navigational behaviour of web users. In Proc. of the Workshop on Machine Learning in User Modeling of the ACAI'99 Int. Conf., Creta, Greece, July 1999.
[8] M. Perkowitz and O. Etzioni. Adaptive web sites: Automatically synthesizing web pages. In AAAI/IAAI, pages 727{732, 1998.
[9] V. Cadez, D. Heckerman, C. Meek, P. Smyth, and S. White. Visualization of navigation patterns on a web site using model-based clustering. In In Proceedings of the sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 280{284, Boston, Massachusetts, 2000.
[10] Mobasher, H. Dai, T. Luo, and M. Nakagawa. Discovery and evaluation of aggregate usage profiles for web personalization. Data Mining and Knowledge Discovery, 6(1):61{82, January 2002.

Abstract:The employee Job satisfaction represents one of the most complex areas facing today's managers when it comes to managing their Employees. It is the most important area which must be given maximum concentration by the organization. Unless and until each and every organization spares no effort to find out the particular problems which affect not only their satisfaction but the entire performance, it will make oodles of disturbance. The particular study about the Human Resource Management Practices with special reference to job satisfaction gets relevance on this corner.
Keywords:Job satisfaction, Human Resource Management Practices

[1] Armstrong Michael, Human Resource Management, New Delhi, Kogan Page India 2003, 9th edition
[2] Aswhthappa, Human Resource and Personnal Management, New Delhi, Tata Mc Graw-Hill, 3rd edition
[3] Bhattacharya Kumar Diapk, Human Resource Management, , New Delhi, Excel Books 2002, 1ST edition
[4] Monoppa & Saiyadain, Personnel Management, Tata McGraw Hill, New Delhi.
[5] Patnayak, Biswajeet, Human Resource Management, ed. iii, 2006, P.H., New Delhi
[6] Pramod Verma, Management of Industrial Relations, Vora Prakashan, Ahmedabad.
[7] Sinha, PRN, Sinha IB and Shekhar SP, Industrial Relations, Trade Unions and Labour
[8] Armstrong, M. (2006). A Handbook of Human resource Management Practice, Tenth Edition, Kogan Page Publishing, London.
[9] Arvey, R. D., Bouchard, T. J., Segal, N. L., & Abraham, L. M. (1989). Job satisfaction: Environmental and genetic components. Journal of Applied Psychology, 74, 187–192