10% Discount on All E-Books through IGI Global’s Online Bookstore Extended(10% discount on all e-books cannot be combined with most offers. Discount is valid on purchases made directly through IGI Global Online Bookstore (www.igi-global.com)
and may not be utilized by booksellers and distributors. Offer does not apply to e-Collections and exclusions of select titles may apply. Offer expires June 30, 2022.)Browse Titles

Special Offers
- 10% Discount on All E-Books through IGI Global’s Online Bookstore
  With the continued paper shortages and supply chain issues, we have been informed by our partners that there will be substantial delays in printing and shipping publications, especially as we approach the holiday season. To help incentive the electronic format and streamline access to the latest research, we are offering a 10% discount on all our e-books through IGI Global’s Online Bookstore. Hosted on the InfoSci^® platform, these titles feature no DRM, no additional cost for multi-user licensing, no embargo of content, full-text PDF & HTML format, and more.
  Browse Titles
- IGI Global to Convert an Additional 30 Journals to Full Gold Open Access for the 2022 Volume Year
  IGI Global is to convert an additional 30 journals to full gold open access (OA) for their 2022 volume year, which will expand their OA collection to contain 60 gold open access and one (1) platinum open access journal.
  Learn More
- All IGI Global Scholarly Journals Shift to "Digital Preferred" Format
  In response to the overwhelming demand for electronic content coupled with the mission to decrease the overall environmental impacts of print production and distribution, all IGI Global journals will shift into a digital preferred model for the 2022 volume year. Under this model, journals will become primarily available under electronic format and articles will be immediately available upon acceptance. Print subscriptions and print + electronic subscriptions will still be available, but for the print version, all articles that are published during the volume year will become available at the end of the year in a single (1) printed volume.
  Learn More
- IGI Global’s New DEI e-Book Collection
  Acquire Over 320+ E-Books on Diversity, Equity, and Inclusivity from a publisher that has been dedicated to DEI since its inception over 30 years ago. Now, benefit from a collection of all of our DEI e-Books at a 90% Discount.
  Learn More
- Offering a 5% Pre-Publication Discount on
  All Reference Books Ordered Through IGI Global’s Online Bookstore*
  To support customers with accessing the latest research, IGI Global is offering a 5% pre-publication discount on all hardcover, softcover, e-books, and hardcover + e-books titles.
  *5% discount offer is eligible on hardcover, softcover, e-books, and hardcover + e-books titles and is automatically applied directly to the shopping cart. Discount offer only valid on purchases made directly through IGI Global’s Online Bookstore and offer expires 30 days after the publication’s release. This automatic discount is not intended for use by book distributors or wholesalers.
  Browse Titles
Books
Journals
e-Collections
- - e-Collections
  - Transformative Open Access (Read & Publish)
Open Access
Publish with Us
Resources
- - Instructors
  - Course Adoption
  - Teaching Cases
  - K-12 Online Learning Collection
  - Authors and Editors
  - eEditorial Discovery^® System
  - Peer Review Process
  - Ethics and Malpractice
  - COPE Membership
  - Fair Use Policy
  - Open Access Publishing
  - Author Services
  - FAQ
Catalogs
About Us
Newsroom

An Empirical Analysis of Web Navigation Prediction Techniques

Honey Jindal (Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India) and Neetu Sardana (Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India)

EISBN13: 9781522533535|DOI: 10.4018/jcit.2017010101

OnDemand PDF Download:

$37.50

OnDemand Chapter PDF Download Download link provided immediately after order completion

Abstract

With the advancement of Information Technology, web is growing rapidly and it has became necessary part of our daily lives. It is mandate to study the navigation behavior of the user to improve the quality of web site design for personalization and further recommendation. Analysis of web navigation behavior heavily relies on navigational models. This paper is an effort to give insights of current state-of-the-art techniques used for web navigation prediction. These navigation models are broadly classified into three categories: sequential mining, classification and clustering. Analytical analysis is performed on all the categories used in web navigation prediction. Further empirical analysis is performed on popular techniques of each category Markov Model (sequential mining), Support vector machine (classification) and K-means (clustering) on the common platform to measure the effectiveness of these techniques.

MLA

APA

Chicago

Export Reference

An Empirical Analysis of Web Navigation Prediction Techniques

Abstract