@article{MAKHILLRJAS2014959383,
    title = {Performance Intensification for Automatic Template Using World Wide Web},
    journal = {Research Journal of Applied Sciences},
    volume = {9},
    number = {5},
    pages = {288-294},
    year = {2014},
    issn = {1815-932x},
    doi = {rjasci.2014.288.294},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2014.288.294},
    author = {G. Naveen,D. and},
    keywords = {Cluster,non-content path,template detection,Minimum Description Length (MDL),web},
    abstract = {Every individual is provided with access to plenty of information 
  with the help of world wide web but it becomes progressively more difficult 
  to discover the significant pieces of information. In web mining tries to tackle 
  this problem by applying data mining techniques to web data and documents. The 
  data available on the web is so heterogeneous and huge that it becomes a crucial 
  factor to extract this accessible data to make it pertinent to a particular 
  problem. Web mining uses data mining techniques to extract knowledge from web 
  sources. This study focuses on detecting and extracting templates from web pages 
  that are heterogeneous in nature by means of an algorithm. Locality sensitive 
  hashing finds the similarity between the input web documents and provides good 
  performance compared to the Minimum Description Length (MDL) principle and hash 
  cluster process in terms of execution time.}
    }