Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/281712
Title: A Study on Data Mining Based Framework for Quality Improvement of Web Applications
Researcher: Thangammal N.
Guide(s): Pethalakshmi A.
Keywords: Social Sciences,Economics and Business,Economics
University: Mother Teresa Womens University
Completed Date: 2018
Abstract: The recent spurt in the number of web applications being engineered has led to a lot of researches pertaining to the quality of the engineered web applications. Websites have become very intrusive in the life of a common man and people use websites for a variety of purposes ranging from entertainment to banking to accessing government services. Web applications pose new challenges and hence require innovative approaches for quality improvement and control. Traditional Quality control measures for Software are inadequate to meet the new challenges imposed by Web applications. Data Mining the extraction of novel, potentially interesting patterns from vast amounts of data has captured the attention of researchers working in multiple domains. The success of employing data mining in other domains is the motivation of this research. Incorporating data mining techniques for web engineering can led to the development of quality websites. Given the promise data mining holds for other similar complex problems, it is highly likely that attempts to use it in web engineering will yield similar successes. newline
Pagination: 207p.
URI: http://hdl.handle.net/10603/281712
Appears in Departments:Department of Commerce

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02_certificate.pdf326.96 kBAdobe PDFView/Open
03_abstract.pdf101.08 kBAdobe PDFView/Open
04_declaration.pdf178.14 kBAdobe PDFView/Open
05_plagiarism certificate.pdf366.15 kBAdobe PDFView/Open
06_contents.pdf106.41 kBAdobe PDFView/Open
07_list of tables.pdf95.55 kBAdobe PDFView/Open
08_list of figures.pdf94.77 kBAdobe PDFView/Open
09_abbreviations.pdf89.59 kBAdobe PDFView/Open
10_chapter 1.pdf567.72 kBAdobe PDFView/Open
11_chapter 2.pdf201.22 kBAdobe PDFView/Open
12_chapter 3.pdf260.54 kBAdobe PDFView/Open
13_chapter 4.pdf217.17 kBAdobe PDFView/Open
14_chapter 5.pdf309.79 kBAdobe PDFView/Open
15_chapter 6.pdf230.61 kBAdobe PDFView/Open
16_conclusion.pdf112.63 kBAdobe PDFView/Open
17_bibliography.pdf189.76 kBAdobe PDFView/Open
18_appendix.pdf350.99 kBAdobe PDFView/Open
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