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Comparison-Based Study of PageRank Algorithm Using Web Structure Mining and Web Content Mining

  • Nitesh PradhanEmail author
  • V. S. Dhaka
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 141)

Abstract

On the internet, a large number of information is available, which consolidates data and hyperlinks. With the large heterogeneous information resource, it is very difficult to locate the coveted data that matched with client needs and intrigue. To recover the relevant report from the user’s query, we use different types of algorithms. Page Ranking is additionally one of the groundbreaking algorithms to recover the best significant records that likewise lessen the client’s searching time. Web mining instruments are utilized by page ranking algorithm. Web mining device is utilized to arrange, group, and rank the report so the client can without much of a stretch finish the guide the query item and search the required data content. Mining can be done using two types, namely “Web Structure Mining” and “Web Content Mining”. In Web Structure Mining, rank the pages on the preface of their hyperlinks and in Web Content Mining, rank the pages on the premise of content of the pages. This paper portrays the examination and consolidates investigation of Web Structure Mining and Web Content Mining to enhance the positioning of pages.

Keywords

Linked-based search Cluster Page ranking Weighted PageRank 

References

  1. 1.
    Zhang, M., Ma S.P., Song, R.H.: On the use of primary feature model for web information retrieval. J. Softw., 1012–1020 (2005)Google Scholar
  2. 2.
    Arasu, A., Cho, J., Garcia-Molina, H., Paepcke, A., Raghavan, S.: Searching the web. ACM Trans. Internet Technol., 97–101 (2001)Google Scholar
  3. 3.
    Edwards, J., McCurley, K.S., Tomlin, J.: An adaptive model for optimizing performance of an cremental web crawler. In: Proceedings the 10th Conference on World Wide Web , pp. 106–113. Elsevier Science, Hong Kong (2001)Google Scholar
  4. 4.
    Page, L., Brin, S., Motwani, R., Winograd, T.: The page rank citration ranking: bringing order to the web. Stanford Digital Libraries SIDL-WP, pp. 1990–2000 (1999)Google Scholar
  5. 5.
    Ridings, C., Shishigin, M.: Page rank uncovered. Technical Report (2002)Google Scholar
  6. 6.
  7. 7.
    Cooley, R., Mobasher, B., Srivastava, J.: Web mining: information and pattern discovery on the world wide web. In: 9th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 97) (1997)Google Scholar
  8. 8.
    Dunham, M.H.: Data Mining Introductory and Advanced Topics. Prentice Hall, New Jersey (2002)Google Scholar
  9. 9.
    Jicheng, W., Yuan, H., Gangshan, W., Fuyan, Z.: Web mining: knowledge discovery on the web. Systems, man, and cybernetics. In: IEEE SMC’99 Conference Proceedings, vol. 2, pp. 137–141, 15 Oct 1999Google Scholar
  10. 10.
    Han, J., Kamber, M., Pei J.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, Burlington (2000)Google Scholar
  11. 11.
    Kosala, R., Blockeel, Hendrik.: Web mining research: a survey (2000)CrossRefGoogle Scholar
  12. 12.
    Sanjay, Kumar, D.: A review on page ranking algorithm. Int. J. Adv. Res. Comput. Eng. Technol. 4 (2015)Google Scholar
  13. 13.
    Getoor, L.: Link mining: a new data mining challenge. In: SIGKDD Explorations, vol. 4 (2003)CrossRefGoogle Scholar
  14. 14.
    Xing, W., Ghorbani A.: Weighted pagerank algorithm. In: Proceedings of the 2nd Annual Conference on Communication Networks and Services Research (CNSR’04). IEEE (2004)Google Scholar
  15. 15.
    Cheng, A., Friedman, E.: Manipulability of page rank under sybil strategies. 6 Nov 2006Google Scholar
  16. 16.
    Xing, L.Z.: Research and improvement of page rank sort algorithm based on retrieval result. IEEE, 8 Jan 2015Google Scholar
  17. 17.
    Kumar, A., Singh, R.K.: A study on web structure mining. Int. Res. J. Eng. Technol. (IRJET) 04(1) (2017)Google Scholar
  18. 18.
    Sote, A.M., Pande, S.R.: Application of page ranking algorithm in web mining. IOSR J. Comput. Sci., 47–51 (2014)Google Scholar
  19. 19.
    Dave, D.: Review of various web page ranking algorithms in web structure mining. In: National Conference on Recent Research in Engineering and Technology; Int. J. Adv. Eng. Res. Dev. (2015). ISSN:2348-6406Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringManipal UniversityJaipurIndia

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