Data Science and Knowledge Discovery Using Machine Learning Methods

Oded Maimon; Lior Rokach; Erez Shmueli

doi:10.1007/978-3-031-24628-9_1

Data Science and Knowledge Discovery Using Machine Learning Methods

Oded Maimon
, Lior Rokach
, Erez Shmueli

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

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 language	English
Title of host publication	Machine Learning for Data Science Handbook
Subtitle of host publication	Data Mining and Knowledge Discovery Handbook, Third Edition
Publisher	Springer International Publishing
Pages	1-19
Number of pages	19
ISBN (Electronic)	9783031246289
ISBN (Print)	9783031246272
DOIs	https://doi.org/10.1007/978-3-031-24628-9_1
State	Published - 1 Jan 2023

ASJC Scopus subject areas

General Computer Science
General Mathematics

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10.1007/978-3-031-24628-9_1

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Data Science and Knowledge Discovery Using Machine Learning Methods

Abstract

ASJC Scopus subject areas

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