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A Review on Enhancing Data Quality for Optimal Data Analytics Performance

Sandeep Rangineni, Information Technology, Independent Researcher, West Hills, USA, Information Technology, Independent Researcher, Morgantown, USA, Information Technology, Independent Researcher, Bentonville, USA, Information Technology, Independent Researcher, Houston, USA, Information Technology, Independent Researcher, Atlanta, USA, Amit Bhanushali, Manoj Suryadevara, Srinivas Venkata, Kiran Peddireddy

2023International Journal of Computer Sciences and Engineering22 citationsDOIOpen Access PDF

Abstract

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.

Topics & Concepts

Computer scienceAnalyticsQuality (philosophy)Data analysisData qualityData scienceData miningBusinessMarketingMetric (unit)EpistemologyPhilosophyArtificial Intelligence in HealthcareData Mining Algorithms and Applications
A Review on Enhancing Data Quality for Optimal Data Analytics Performance | Litcius