Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Due to the tremendous volume of generated and processed data from various application domains, Big Data has gained enormous momentum over the past few years. It is estimated that 80% of all data generated is unstructured nowadays. It has been identified that evaluating the quality of Big Data is essential to guarantee dimensions of data quality including, for example, completeness and accuracy. Current initiatives are still under investigation for unstructured data quality assessment. In this paper, we propose a model for quality assessment to handle Unstructured Big Data (UBD) quality. A repository of data quality manages relationships between dimensions of data quality, quality metrics, features methods of extraction, methods of mining, types of data and domains of data. A sample analysis provides an UBD data profile. UBD Quality Assessment Model that handles all processes from UBD to Quality Report profiling exploration. The model provides an initial blueprint for unstructured Big data quality estimation.
Keywords:
Big data,quality assessment,survey
Cite Article:
"Quality Assessment of Big Data", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 7, page no.65 - 70, July-2019, Available :http://www.ijrti.org/papers/IJRTI1907012.pdf
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000204810
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator