1. Shodhganga@INFLIBNET
  2. St. Peter’s Institute of Higher Education and Research
  3. Department of Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/248485
Title: Design and implementation of efficient approaches to detect anomalies and eliminate data redundancy in large volume of data
Researcher: M, Nalini
Guide(s): Anbu, S
Keywords: Anomaly detection
Anomaly detection techniques
Database
Data mining
Engineering and Technology,Computer Science,Computer Science Software Engineering
University: St. Peter s Institute of Higher Education and Research
Completed Date: 2018
Abstract: available
Pagination: 121 p.
URI: http://hdl.handle.net/10603/248485
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File74.82 kBAdobe PDFView/Open
02_certificate.pdf120.43 kBAdobe PDFView/Open
03_declaration.pdf61.58 kBAdobe PDFView/Open
04_acknowledgement.pdf78 kBAdobe PDFView/Open
05_abstract.pdf18.42 kBAdobe PDFView/Open
06_contents.pdf25.61 kBAdobe PDFView/Open
07_list of tables and figures.pdf48.09 kBAdobe PDFView/Open
08_list of abbreviations.pdf59.67 kBAdobe PDFView/Open
09_chapter 1.pdf425.68 kBAdobe PDFView/Open
10_chapter 2.pdf97.48 kBAdobe PDFView/Open
11_chapter 3.pdf530.13 kBAdobe PDFView/Open
12_chapter 4.pdf453.31 kBAdobe PDFView/Open
13_chapter 5.pdf408.5 kBAdobe PDFView/Open
14_chapter 6.pdf572.16 kBAdobe PDFView/Open
15_chapter 7.pdf53.87 kBAdobe PDFView/Open
16_references.pdf1.86 MBAdobe PDFView/Open
17_publications.pdf295.34 kBAdobe PDFView/Open
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