An improved rank based disease prediction using web navigation patterns on bio-medical databases

Dhanalakshmi, P.; Ramani, Kasarapu; Reddy, B. Eswara

doi:10.1016/j.fcij.2017.10.003

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…That depends on the filtering model used by the Recommender System. Bayesian ranking and Fuzzy techniques appear in [30]- [32]. The method that uses Fuzzy logic is based on subdivision of sets, which treats groups of objects to analyze similarly.…”

Section: Introductionmentioning

confidence: 99%

Heath-PRIOR: An Intelligent Ensemble Architecture to Identify Risk Cases in Healthcare

et al. 2020

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Section: Introductionmentioning

confidence: 99%

Heath-PRIOR: An Intelligent Ensemble Architecture to Identify Risk Cases in Healthcare

et al. 2020

View full text Add to dashboard Cite

“…Compared to using tagging, which needs other services to receive data from tag's code, log files, on the other hand, passively log all interactions on a page. Data collected in the log file could be mined using programming languages, and type of information retrieved is richer than the common tag services (Dhanalakshmi et al, 2017;Liu & Kešelj, 2007). In particular, for the website, the landing page is the first moment where the user is introduced to the website has to offer.…”

Section: Introductionmentioning

confidence: 99%

Analyzing User Behaviour and Page Views Based on Visitor Traffic in Kolej Universiti Poly-Tech Mara Website Using Google Analytic

Othman

Adnan

Khairuzzaman

et al. 2020

MJoC

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The approach of the Internet has affected organizations in numerous features. The website has become an integral part of the organizations, from publicizing the organization's profile to giving web services. This study is to evaluate and analyze user behaviour pattern at Kolej Universiti Poly-Tech MARA (KUPTM) website using Google Analytics (GA) as one of the web analytic tools. Website design and its services have become a crucial part for Higher Education Institutions (HEIs) to attract users in visiting their website. Therefore, the use of web analytic tools can be an effective solution in measuring, analyzing and identifying the traffic sources for a website. Google tag was added to all KUPTM’s website and the measurement periods has been done between May 2019 and October 2019. Results have shown that the number of visitors is significantly higher during the weekdays and are affected by external stimulus. An external stimulus, such as promotional activities would increase the number of website visitors. The visit trends show weekly fluctuation in the numbers. It records high numbers of visits during the weekdays and fewer visitors during the weekend. The fluctuation could be due to the number of visits were from internal users, i.e. KUPTM employees and students. The capability of Google Analytics to analyze website traffics in terms of collecting data regarding page views, user interaction flow and visitor behaviour will benefit the organization for making a decision.

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Smart Heart Attack Forewarning Model Using MapReduce Programming Paradigm

Jain

Bhatnagar²,

Rao

2020

Advances in Information Communication Technology and Computing

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An improved rank based disease prediction using web navigation patterns on bio-medical databases

Cited by 6 publications

References 13 publications

Heath-PRIOR: An Intelligent Ensemble Architecture to Identify Risk Cases in Healthcare

Heath-PRIOR: An Intelligent Ensemble Architecture to Identify Risk Cases in Healthcare

Analyzing User Behaviour and Page Views Based on Visitor Traffic in Kolej Universiti Poly-Tech Mara Website Using Google Analytic

Smart Heart Attack Forewarning Model Using MapReduce Programming Paradigm

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