An Efficient Algorithm for Informational Retrieval using Web Usage Mining
AUTHORS
Preeti Rathi,Research ScholarDepartment of Computer ScienceKanya Gurukul CampusDehradun
Nipur Singh,Department of Computer Science Kanya Gurukul Campus Dehradun
ABSTRACT
Retrieval of information from the database and web log files is very time consuming process. There are many techniques and models to retrieve data from web. There are two types of data available in web i.e. structured and unstructured. If data is structured then retrieval of information is easy task. Otherwise firstly apply algorithm to unstructured data and then models will be apply. Vector space and Boolean models are used for IR. In this paper we compare both Boolean model & Vector Space model techniques to retrieval data from web (log files) and proposed a new algorithm based on time, frequency, memory consumption etc..
KEYWORDS
Log files, IR, Vector Space Model, Boolean Model, Web, TF, IDF
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CITATION
COPYRIGHT
© 2019 Rathi Preeti et al. Published by Global Vision Press. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CCBY4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.