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Big Data Preprocessing, Techniques, Integration, Transformation, Normalisation, Cleaning, Discretization, and Binning
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Author(s): Pranali Dhawas (G.H. Raisoni College of Engineering, Nagpur, India), Abhishek Dhore (MIT School of Computing, MIT ADT University, Pune, India), Dhananjay Bhagat (G.H. Raisoni College of Engineering, Nagpur, India), Ritu Dorlikar Pawar (G.H. Raisoni College of Engineering, Nagpur, India), Ashwini Kukade (G.H. Raisoni College of Engineering, Nagpur, India)and Kamlesh Kalbande (G.H. Raisoni College of Engineering, Nagpur, India)
Copyright: 2024
Pages: 24
Source title:
Big Data Analytics Techniques for Market Intelligence
Source Author(s)/Editor(s): Dina Darwish (Ahram Canadian University, Egypt)
DOI: 10.4018/979-8-3693-0413-6.ch006
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Abstract
“Unleashing the Power of Big Data: Innovative Approaches to Preprocessing for Enhanced Analytics” is a groundbreaking chapter that explores the pivotal role of preprocessing in big data analytics. It introduces diverse techniques to transform raw, unstructured data into a clean, analyzable format, addressing the challenges posed by data volume, velocity, and variety. The chapter emphasizes the significance of preprocessing for accurate outcomes, covers advanced data cleaning, integration, and transformation techniques, and discusses real-time data preprocessing, emerging technologies, and future directions. This chapter is a comprehensive resource for researchers and practitioners, enabling them to enhance data analytics and derive valuable insights from big data.
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