Abstract

Normally Search Engine System will work, based on web crawling, text classification and information retrieval. With the rapid growth of network information resources, more and more people are concerned about how quickly and efficiently the communication from the mass of network information extraction required. The Search Engine Technology is one of the main means of achieving network information mining. This study analyzes basic search engine of these defects on the combination of the structural characteristics of search engine optimization gives a specific method, the optimization method can overcome the existing search. Corresponding engine inherent defects, improve the effectiveness of search engines at the same time, to further promote the intelligent search engine. The entire search engines are focused Keywords, Reserved words, Word frequency, Weightage. This study focuses health care search Engine system efficiency; Using C-means with Neuro-Fuzzy System, the search engine based on intelligence provides improved services in the health care when compared with other search engines.

Keywords:

C-means, neuro fuzzy system , search engine,

References

1. Ajitha, P. and G. Gunasekaran, 2014. Effective feature extraction for document clustering to enhance search engine using XML. J. Theor. Appl. Inform. Technol., 68(1).
   Direct Link
2. Arzanian, B., F. Akhlaghian and P. Moradi, 2010. A multi-agent based personalized meta-search engine using automatic fuzzy concept networks. Proceeding of the IEEE 3rd International Conference on Knowledge Discovery and Data Mining (WKDD'10), pp: 208-211.
   Direct Link
3. Bhaskaran, S., G. Suryanarayana, A. Basu and R. Joseph, 2013. Cloud-enabled search for disparate healthcare data: A case study. Proceeding of the IEEE International Conference on Cloud Computing in Emerging Markets (CCEM, 2013), pp: 1-8.
   Direct Link
4. Bhattacharya, I., A. Ramachandran and B.K. Jha, 2012. Healthcare data analytics on the cloud. Online J. Health Allied Sci., 11(1).
   Direct Link
5. Celikyilmaz, A. and I. Burhan Turksen, 2008. Enhanced fuzzy system models with improved fuzzy clustering algorithm. IEEE T. Fuzzy Syst., 16(3): 779-794.
   Direct Link
6. Chauhan, R., R. Goudar, R. Sharma and A. Chauhan, 2013. Domain ontology based semantic search for efficient information retrieval through automatic query expansion. Proceeding of the International Conference on Intelligent Systems and Signal Processing (ISSP, 2013), pp: 397-402.
   Direct Link
7. Chheena, N.D. and M.N. Ahmed Khan, 2012. Multi-agent based search engine for researchers and scientists. Int. J. Adv. Sci. Technol., 49(2012): 83-94.
   Direct Link
8. Chung, P.T., S.H. Chung and C.K. Hui, 2012. A web server design using search engine optimization techniques for web intelligence for small organizations. Proceeding of the IEEE Long Island Systems, Applications and Technology Conference (LISAT, 2012), pp: 1-6.
   Direct Link
9. Cobos, C., M. Mendoza, M. Manic, E. León and E. Herrera-Viedma, 2013. Clustering of web search results based on an iterative fuzzy c-means algorithm and bayesian information criterion. Proceeding of the Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), pp: 507-512.
   Direct Link
10. Drigas, A.S. and J. Vrettaros, 2006. An intelligent search engine assessing learning material to improve learning procedures. Proceeding of the 7th International Conference on Information Technology Based Higher Education and Training (ITHET'06), pp: 875-883.
    Direct Link
11. Fan, J.W. and C. Friedman, 2011. Deriving a probabilistic syntacto-semantic grammar for biomedicine based on domain-specific terminologies. J. Biomed. Inform., 44(5): 805-814.
    Direct Link
12. Franzoni, V., M. Mencacci, P. Mengoni and A. Milani, 2014. Semantic heuristic search in collaborative networks: Measures and contexts. Proceeding of the IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 1: 141-148.
    Direct Link
13. Gao, J.G., G. Yu and L. Tao, 2010. A method of keywords selection evaluation based on search volume. Proceeding of the International Conference on Educational and Network Technology, pp: 25-28.
    Direct Link
14. Gupta, V. and G.S. Lehal, 2009. A survey of text mining techniques and applications. J. Emerg. Technol. Web Intell., 1(1): 60-76.
    CrossRef    Direct Link
15. Ho, L.H., M.H. Lu, J.C. Huang and H.Y. Ho, 2010. The application of search engine optimization for internet marketing: An example of the motel websites. Proceeding of the IEEE 2nd International Conference on Computer and Automation Engineering (ICCAE), 1: 380-383.
    Direct Link
16. Kavitha, R. and R. Nedunchelian, 2014. An efficient method to automatic intelligent based search engine in health care cloud data using c-means with neuro fuzzy system. Int. J. Appl. Eng. Res., 9(23): 22337-22350.
    Direct Link
17. Killoran, J.B., 2013. How to use search engine optimization techniques to increase website visibility. IEEE T. Prof. Commun., 56(1): 50-66.
    Direct Link
18. Li, K., M. Lin, Z. Lin and B. Xing, 2014. Running and chasing-the competition between paid search marketing and search engine optimization. Proceeding of the 47th Hawaii International Conference on System Sciences (HICSS), pp: 3110-3119.
    Direct Link
19. Li, M., S. Yu, N. Cao and W. Lou, 2011. Authorized private keyword search over encrypted data in cloud computing. Proceeding of the 31st International Conference on Distributed Computing Systems (ICDCS), pp: 383-392.
    Direct Link
20. Lim, E.H.Y., H.W.K. Tam, S.W.K. Wong, J.N.K. Liu and R.S.T. Lee, 2009. Collaborative content and user-based web ontology learning system. Proceeding of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE, 2009), pp: 1050-1055.
    Direct Link
21. Lin, J. and S. Zhang, 2009. An optimizing search based on kernel-based fuzzy c-means clustering. Proceeding of the IEEE International Conference on Computational Intelligence and Software Engineering (CiSE, 2009), pp: 1-3.
    
22. Lin, T.F. and Y.P. Chi, 2014. Application of webpage optimization for clustering system on search engine v google study. Proceeding of the IEEE International Symposium on Computer, Consumer and Control (IS3C, 2014), pp: 698-701.
    Direct Link
23. Liu, Y., Q.X. Wang, L. Guo, Q. Yao, N. Lv and Q. Wang, 2007. The optimization in news search engine using formal concept analysis. Proceeding of the 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD, 2007), 2: 45-49.
    Direct Link
24. Majhi, S.K. and P. Bera, 2014. OHMF: A query based optimal healthcare medication framework. Int. J. Inform. Process., 8(3): 1-12.
    Direct Link
25. Montesi, D. and A. Trombetta, 1999. Similarity search through fuzzy relational algebra. Proceeding of the 10th International Workshop on Database and Expert Systems Applications, pp: 235-239.
    Direct Link
26. Nimbalkar, R.A. and R.A. Fadnavis, 2014. Domain specific search of nearest hospital and healthcare management system. Proceeding of the Recent Advances in Engineering and Computational Sciences (RAECS, 2014), pp: 1-5.
    Direct Link
27. Sano, Y., H. Kita, I. Kamihira and M. Yamaguchi, 2000. Online optimization of an engine controller by means of a genetic algorithm using history of search. Proceeding of the 26th Annual Conference of the IEEE Industrial Electronics Society (IECON, 2000), 4: 2929-2934.
    Direct Link
28. Santos, V., N. Datia and M.P.M. Pato, 2014. Ensemble feature ranking applied to medical data. Proc. Technol., 17: 223-230.
    Direct Link
29. Shah, A. and S. Jain, 2011. An agent based personalized intelligent E-learning. Int. J. Comput. Appl., 20(3): 40-45.
    Direct Link
30. Shi, L. and J. Sun, 2008. Automatic instance identification in intelligent information search engine CRAB. Proceeding of the IEEE 19th International Workshop on Database and Expert Systems Application (DEXA'08), pp: 175-179.
    Direct Link
31. Shin, Y., J. Lim and J. Park, 2012. Joint optimization of index freshness and coverage in real-time search engines. IEEE T. Knowl. Data En., 24(12): 2203-2217.
    Direct Link
32. Somani, A. and U. Suman, 2011. Counter measures against evolving search engine spamming techniques. Proceeding of the IEEE 3rd International Conference on Electronics Computer Technology (ICECT, 2011), 6: 214-217.
    Direct Link
33. Sultana, S.N., G. Ramu and B. Eswara Reddy, 2014. Cloud-based development of smart and connected data in healthcare application. Int. J. Distrib. Parall. Syst., 5(6).
    Direct Link
34. Tho, Q.T., S.C. Hui, A.C.M. Fong and T.H. Cao, 2006. Automatic fuzzy ontology generation for semantic web. IEEE T. Knowl. Data En., 18(6): 842-856.
    Direct Link
35. Trappey, A.J.C., C.Y. Fan, C.V. Trappey, Y.L. Lin and C.Y. Wu, 2012. Intelligent recommendation methodology and system for patent search. Proceeding of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design.
    Direct Link
36. Venkatraman, S. and S.J. Kamatkar, 2013. Intelligent information retrieval and recommender system framework. Int. J. Future Comput. Commun., 2(2): 85-89.
    Direct Link
37. Wang, F., L. Yi and Y. Zhang, 2011. An empirical study on the search engine optimization technique and its outcomes. Proceeding of the 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC, 2011), pp: 2767-2770.
    Direct Link
38. Wang, R., Y. Chen, T. Li and Y. Yu, 2013. The optimization of search engines ranking technology based on grey system. Proceeding of the 5th International Conference on Computational and Information Sciences (ICCIS, 2013), pp: 1698-1700.
    
39. Yang, C.C., J. Yen and H. Chen, 2000. Intelligent internet searching agent based on hybrid simulated annealing. Decis. Support Syst., 28(3): 269-277.
    Direct Link
40. Yang, K.H., C.C. Pan and T.L. Lee, 2003. Approximate search engine optimization for directory service. Proceeding of the International Parallel and Distributed Processing Symposium, pp: 8.
    Direct Link
41. Yu, W.D. and A. Lin, 2007. The design and implementation of a Search Engine Marketing Management System (SEMMS) based on service-oriented architecture platform. Proceeding of the IEEE International Conference on e-Business Engineering (ICEBE, 2007), pp: 513-519.
    Direct Link
42. Yunfeng, M., 2010. A study on tactics for corporate website development aiming at search engine optimization. Proceeding of the 2nd International Workshop on Education Technology and Computer Science (ETCS, 2010), 3: 673-675.
    Direct Link
43. Zhang, Y., 2009. Result optimization returned by multiple Chinese search engines based on XML. Proceeding of the International Conference on Computational Intelligence and Software Engineering (CiSE, 2009), pp: 1-3.
    Direct Link
44. Zhu, C. and G. Wu, 2011. Research and analysis of search engine optimization factors based on reverse engineeing. Proceeding of the 3rd International Conference on Multimedia Information Networking and Security (MINES, 2011), pp: 225-228.
    Direct Link

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.