To predict online patterns, we propose a scalable kNN-based approach. A classical kNN-based approach would look for k nearest neighbors of a point in a dataset ...

The main focus of this paper is using of hybrid prediction engine to classify users on the basis of discovered patterns from web logs. Our proposed framework is ...

Abstract. Accurate web log mining results and efficient online navigational pattern prediction are undeniably crucial for tuning up websites and ...

May 5, 2024 · Accurate web log mining results and efficient online navigational pattern prediction are undeniably crucial for tuning up websites and ...

As a response to the aforementioned concerns we are proposing an enhancement to the web log mining process and to the online navigational pattern prediction.

After applying web mining on web sessions we will get navigation patterns which are important for web users such that appropriate actions can be adopted. Due to ...

Sep 25, 2014 · Abstract: The aim of this study is to improve web log mining and online navigation pattern prediction. Web mining.

Web log mining technique is apply to improve web services and mining web navigation patterns efficiently. ... Dynamic Thresholds for Navigation Prediction.

The aim of this study is to improve web log mining and online navigation pattern prediction. Web mining is an active and wide area which incorporates several ...

(DOI: 10.19026/RJASET.8.1124) The aim of this study is to improve web log mining and online navigation pattern prediction. Web mining is an active and wide ...