Big Data Preprocessing, Techniques, Integration, Transformation, Normalisation, Cleaning, Discretization, and Binning

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 33 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.