PARALLEL & DISTRIBUTED APPROACH FOR CLEANING DATA IN DATA WAREHOUSE
Abstract & Details
Research Area
Computer Engineering
Keywords
Data Cleaning
Modified PNRS
Modified Transitive Closure
Enhanced Technique
and Semantic Matching.
Abstract
The quality of data can only be improved by cleaning data prior to loading into the data warehouse as correctness of data is essential for well-informed and reliable decision making. The quality of the data can only be produced by cleaning data prior to loading into data warehouse. Data Cleaning is a very important process of the data warehouse. It is not a very easy process as many different types of unclean data can be present. So correctness of data is essential for well-informed and reliable decision making. Also, whether a data is clean or dirty is highly dependent on the nature and source of the raw data. Thus, I have proposed a work on parallel & distributed approach for cleaning data gathered from external sources by combining two or more data cleaning techniques or algorithms for error correction by correcting the records from a list of suggested words mentioned in the dictionary and which will also eliminated the duplicate records that will provide a more accurate and cleaned data.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ayanka Ganguly | SAL Institute of Technology & Engineering Research |
| 2 | Pooja Mehta | SAL Institute of Technology & Engineering Research |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Ganguly, Ayanka & Mehta, Pooja (2016). PARALLEL & DISTRIBUTED APPROACH FOR CLEANING DATA IN DATA WAREHOUSE. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 4576-4580.
MLA Style
Ganguly, Ayanka, and Pooja Mehta. "PARALLEL & DISTRIBUTED APPROACH FOR CLEANING DATA IN DATA WAREHOUSE." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 4576-4580.
IEEE Style
Ayanka Ganguly and Pooja Mehta, "PARALLEL & DISTRIBUTED APPROACH FOR CLEANING DATA IN DATA WAREHOUSE," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 4576-4580, 2016.
Vancouver Style
Ganguly Ayanka, Mehta Pooja. PARALLEL & DISTRIBUTED APPROACH FOR CLEANING DATA IN DATA WAREHOUSE. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):4576-4580.
Harvard Style
Ganguly, Ayanka & Mehta, Pooja (2016) 'PARALLEL & DISTRIBUTED APPROACH FOR CLEANING DATA IN DATA WAREHOUSE', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 4576-4580.
Chicago Style
Ganguly, Ayanka and Pooja Mehta. "PARALLEL & DISTRIBUTED APPROACH FOR CLEANING DATA IN DATA WAREHOUSE." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 4576-4580.
Turabian Style
Ganguly, Ayanka and Pooja Mehta. "PARALLEL & DISTRIBUTED APPROACH FOR CLEANING DATA IN DATA WAREHOUSE." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 4576-4580.
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