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Abstract— as information is a vital asset, it is important to improve information quality and increment the adequacy of the information. Presently a day’s exercises and basic leadership in an association depends on information and data acquired from information examination, which gives different administrations to developing solid and exact process. In any case, recognizing different parts of information quality from definition, measurements, types, methodologies, strategies are basic to prepare techniques and procedures for enhancing information. The genuine reason for poor information quality can be ascribed to an absence of supporting business forms and inadequate investigation procedures. Superb information can expand open door for accomplishing top administrations in an association. In the meantime information quality appraisal is a precondition for advising the clients about the conceivable employments of the information. This paper audits the work done on information quality evaluation to enhance the nature of the information and considered multi layer information digging model for Internet of Things to address the issues in information accumulation. Give answer for the open difficulties in information gathering layer by embracing proposed information quality evaluation process with input system for information quality that has great expansibility and versatility and can address the issues of IoT information quality appraisal.

Article Details

Author Biographies

Seema S, M.S.Ramaiah Institute of Technology Bengaluru, India

Prof., Dept. of Computer Science and Engineering
M.S.Ramaiah Institute of Technology
Bengaluru, India

Sushma B, M.S.Ramaiah Institute of Technology Bengaluru, India

PhD Scholar Dept. of Computer Science and Engineering
M.S.Ramaiah Institute of Technology
Bengaluru, India

How to Cite
S. S and S. B, “Advanced data analysis and data mining model for Internet of Things in smart city: A Survey”, Ausjournal, vol. 1, no. 1, pp. 16-23, Feb. 2019.


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