43 citations · 63 across the 6 of their papers we have counts for
7 papers
New Fuzzy LBP Features for Face Recognition
Abdullah Gubbi, Mohammed Fazle Azeem, Zahid Ansari
There are many Local texture features each very in way they implement and each of the Algorithm trying improve the performance. An attempt is made in this paper to represent a theo…
A Fuzzy Clustering Based Approach for Mining Usage Profiles from Web Log Data
Zahid Ansari, Mohammad Fazle Azeem, A. Vinaya Babu +1
The World Wide Web continues to grow at an amazing rate in both the size and complexity of Web sites and is well on its way to being the main reservoir of information and data. Due…
Discovery of Web Usage Profiles Using Various Clustering Techniques
Zahid Ansari, Waseem Ahmed, M. F. Azeem +1
The explosive growth of World Wide Web (WWW) has necessitated the development of Web personalization systems in order to understand the user preferences to dynamically serve custom…
A Fuzzy Approach for Feature Evaluation and Dimensionality Reduction to Improve the Quality of Web Usage Mining Results
Zahid Ansari, M. F. Azeem, A. Vinaya Babu +1
Web Usage Mining is the application of data mining techniques to web usage log repositories in order to discover the usage patterns that can be used to analyze the users navigation…
Quantitative Evaluation of Performance and Validity Indices for Clustering the Web Navigational Sessions
Zahid Ansari, M. F. Azeem, Waseem Ahmed +1
Clustering techniques are widely used in Web Usage Mining to capture similar interests and trends among users accessing a Web site. For this purpose, web access logs generated at a…
Non Binary Local Gradient Contours for Face Recognition
Abdullah Gubbi, Mohammad Fazle Azeem, M Sharmila Kumari
As the features from the traditional Local Binary Patterns (LBP) and Local Directional Patterns (LDP) are found to be ineffective for face recognition, we have proposed a new appro…