Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
CSTNWSL9W1A
Web Usage Mining deals with the understanding of user behavior while interacting with the website by using various log files. The whole process of Web Usage Mining gets completed in three phases namely Data Preprocessing, Pattern Discovery and Pattern Analysis. Data Preprocessing is important because it takes 80% of the time of the whole process of Web Usage Mining. Data Preprocessing involves Data Cleaning, User Identification, and Session Identification. In Session Identification we find out the set of pages visited by a user within the duration of one particular visit to a website, also called as Sessionization. In paper[1], we proposed a new method for session construction. As the size of log files are very large so there is a requirement of an approach for Session Identification by which processing time of our proposed method will be reduced to a great extent. In this paper, we used Map-reduce method to calculate sessions in which we combine both time and user navigation method. This approach is faster than the existing approach because we have performed the whole process in distributed environment.
Neha Sharma. 2017. \u201cWeb usage Mining: Web user Session Construction using Map-Reduce\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 17 (GJCST Volume 17 Issue E4): .
Article file ID not found.
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
Web Usage Mining deals with the understanding of user behavior while interacting with the website by using various log files. The whole process of Web Usage Mining gets completed in three phases namely Data Preprocessing, Pattern Discovery and Pattern Analysis. Data Preprocessing is important because it takes 80% of the time of the whole process of Web Usage Mining. Data Preprocessing involves Data Cleaning, User Identification, and Session Identification. In Session Identification we find out the set of pages visited by a user within the duration of one particular visit to a website, also called as Sessionization. In paper[1], we proposed a new method for session construction. As the size of log files are very large so there is a requirement of an approach for Session Identification by which processing time of our proposed method will be reduced to a great extent. In this paper, we used Map-reduce method to calculate sessions in which we combine both time and user navigation method. This approach is faster than the existing approach because we have performed the whole process in distributed environment.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
