Data Science and Knowledge Discovery Using Machine Learning Methods

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This introductory chapter aims to explain the KDD process and position machine learning within this process. Research and development challenges for the next generation of data science are also defined. The rationale, reasoning, and organization of the handbook are presented in this chapter for helping the reader to navigate the extremely rich and detailed content provided in this handbook.

Original languageEnglish
Title of host publicationMachine Learning for Data Science Handbook
Subtitle of host publicationData Mining and Knowledge Discovery Handbook, Third Edition
Pages1-19
Number of pages19
ISBN (Electronic)9783031246289
DOIs
StatePublished - 1 Jan 2023

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

Fingerprint

Dive into the research topics of 'Data Science and Knowledge Discovery Using Machine Learning Methods'. Together they form a unique fingerprint.

Cite this