An Analytical Review on the Techniques Opted for the Detection of Cloning in Spread Sheets
Mitali
Mitali, M.Tech, Department of CSE, Rimt Mandi Gobindgarh, (Punjab), India.
Manuscript received on 10 November 2013 | Revised Manuscript received on 18 November 2013 | Manuscript Published on 30 November 2013 | PP: 38-39 | Volume-3 Issue-6, November 2013 | Retrieval Number: F1324113613/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Spreadsheets are widely used in industry: it is estimated that end-user programmers outnumber programmers by a facto . However, spreadsheets are error-prone, numerous companies have lost money because of spreadsheet errors. One of the causes for spreadsheet problems is the prevalence of copy pasting. This paper focuses on the methods of identifying data clone in spread sheets and their efficiency. The paper also presents suitable algorithms for data cloning in the data mining region.
Keywords: Data Clone, Data Mining, Fatal Errors, Spread Sheets.
Scope of the Article: Data Analytics