Dhiman et al., 2014 - Google Patents
Empirical validation of website quality using statistical and machine learning methodsDhiman et al., 2014
- Document ID
- 6569610336771956419
- Author
- Dhiman P
- et al.
- Publication year
- Publication venue
- 2014 5th International Conference-Confluence The Next Generation Information Technology Summit (Confluence)
External Links
Snippet
The analysis of quantitative measure of large set of websites plays a significant role in evaluating the quality of websites. The paper, computes 22 metrics using a tool developed in MATLAB. Website quality prediction is developed using statistical and some machine …
- 238000010801 machine learning 0 title abstract description 18
Classifications
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
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- G06Q10/00—Administration; Management
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
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- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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