NDLI: Applying an Enhanced Algorithm for Mining Incremental Updates on an Egyptian Newspaper Website

Content Provider	IEEE Xplore Digital Library
Author	El Fangary, L.M.
Copyright Year	2009
Abstract	Abstract—This paper presents new approaches for analyzing Egyptian Newspaper websites and presenting the most interesting topics that attract the largest portion of reading population to their newspaper website. The paper also presents techniques used for text and news mining. We first start with topic detection and tracking techniques to collect the reader website navigation data for the various topics then we use the proposed incremental algorithm (PIA), our previously published algorithm that was implemented in our previous researches, for mining of the news database. The paper concludes with significant results for identifying the readers trends, thus can dynamically display the most expected and required headline topics to the reader. The paper discovers also the most important topics for the users. Moreover, the paper had a significant effect for guiding the newspaper for the appropriate method for modifying its website to be dynamic according to the user interests specified by the association rules algorithm. We believe that this work had high impact in increasing the number of visitors for the newspaper website and attracting the reader's attention.
Starting Page	1131
Ending Page	1135
File Size	375171
Page Count	5
File Format	PDF
ISBN	9781424452095
DOI	10.1109/NCM.2009.151
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-25
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text mining Algorithm design and analysis Speech analysis Proposed incremental algorithm (PIA) Navigation Databases Newspaper website mining Displays Frequency Data mining Association rules Information analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Mining Medical Databases Using Proposed Incremental Association Rules Algorithm (PIA)

An efficient algorithm for mining association rules from multiple databases

An efficient algorithm for incremental mining of association rules

An Incremental Updating Algorithm for Online Mining Association Rules

Incremental FP_Growth Mining Algorithm Based on Web Information Extraction

An incremental updating technique for mining indirect association rules

An improved Apriori algorithm for association rules of mining

Mining Databases by Means of an Incremental Association Rule Learner

The Research on Association Rules Algorithm Based on Minimum Item Supports

Applying an Enhanced Algorithm for Mining Incremental Updates on an Egyptian Newspaper Website

Similar Documents

Mining Medical Databases Using Proposed Incremental Association Rules Algorithm (PIA)

An efficient algorithm for mining association rules from multiple databases

An efficient algorithm for incremental mining of association rules

An Incremental Updating Algorithm for Online Mining Association Rules

Incremental FP_Growth Mining Algorithm Based on Web Information Extraction

An incremental updating technique for mining indirect association rules

An improved Apriori algorithm for association rules of mining

Mining Databases by Means of an Incremental Association Rule Learner

The Research on Association Rules Algorithm Based on Minimum Item Supports

Applying an Enhanced Algorithm for Mining Incremental Updates on an Egyptian Newspaper Website