Intelligent Web Mining to Ameliorate Web Page Rank using Back-Propagation Neural Network

被引:0
|
作者
Malhotra, Dheeraj [1 ]
机构
[1] Univ Kota, Dept Comp Sci & Informat, Kota, Rajasthan, India
关键词
Web Neural Mining; Back Propagation Neural Networks; Web Page Ranking; Intelligent Mining;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In a short span of time, less than 15 years, the web search process is modified enormously because of magnificent growth in web based information resources. The speedy expansion of web is enjoyable because of the increase in information resources but at the same time its huge size and interference of SEOs in search process lead to increased difficulty in extracting relevant information from the web. Personalized web search may be the solution to relevancy problem but user is reluctant in giving his personal information because of privacy concerns [1]. Moreover most existing web mining algorithms do not possess attractive time and space complexities and hence lead to sufferings of novice user. This paper addresses above mentioned issues of Search Engine domain and intends to implement intelligent web mining in the form of Web Page Ranking Tool so as to improve the web page ranking process through incorporation of Back Propagation neural networks. [2][3][4]
引用
收藏
页码:77 / 81
页数:5
相关论文
共 50 条
  • [31] Autocorrelation modeling of lipophilicity with a back-propagation neural network
    Devillers, J
    Domine, D
    Guillon, C
    EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 1998, 33 (7-8) : 659 - 664
  • [32] A DIGITAL SNAKE IMPLEMENTATION OF THE BACK-PROPAGATION NEURAL NETWORK
    PIAZZA, F
    MARCHESI, M
    ORLANDI, G
    1989 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-3, 1989, : 2185 - 2188
  • [33] Web Page Ranking Using Web Mining Techniques: A Comprehensive Survey
    Sharma, Prem Sagar
    Yadav, Divakar
    Thakur, R. N.
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [34] A Novel Back-Propagation Neural Network for Intelligent Cyber-Physical Systems for Wireless Communications
    Madasamy, N. Senthil
    Eldho, K. J.
    Senthilnathan, T.
    Deny, J.
    IETE JOURNAL OF RESEARCH, 2024, 70 (02) : 1361 - 1373
  • [35] Intelligent prediction method for undisturbed soil damping ratio based on a back-propagation neural network
    Yang, Wenbao
    Zhu, Enci
    Wu, Qi
    Chen, Guoxing
    Lu, Yijing
    Jiang, Jiawei
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2024, 45 (08): : 1527 - 1533
  • [36] Web Page Recommendations using Radial Basis Neural Network Technique
    Pushpa, C. N.
    Patil, Ashvini
    Thriveni, J.
    Venugopal, K. R.
    Patnaik, L. M.
    2013 8TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (ICIIS), 2013, : 501 - +
  • [37] Predicting bridge condition index using an improved back-propagation neural network
    He, Zhongying
    Song, Yifan
    Guan, Hongzhai
    Yu, Lu
    ALEXANDRIA ENGINEERING JOURNAL, 2024, 106 : 328 - 336
  • [38] Lung Cancer Segmentation Using Enriched Fuzzy Back-Propagation Neural Network
    Kasim, JannathlFirdouse Mohamed
    Murugan, Balasubramanian
    CYBERNETICS PERSPECTIVES IN SYSTEMS, VOL 3, 2022, 503 : 502 - 518
  • [39] Monitoring of drill flank wear using fuzzy back-propagation neural network
    Panda, S. S.
    Chakraborty, D.
    Pal, S. K.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2007, 34 (3-4): : 227 - 235
  • [40] Service classification using adaptive back-propagation neural network and semantic similarity
    Kuang, Li
    Wu, Jian
    Deng, Shuiguang
    Li, Ying
    Wu, Zhaohui
    2006 10TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, PROCEEDINGS, VOLS 1 AND 2, 2006, : 834 - 838