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

^*Corresponding author for this work

Department of Industrial Engineering

Ben-Gurion University of the Negev

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

Access to Document

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

Cite this

@inbook{866393c4c3214408a80d7f35449cafc7,

title = "Data Science and Knowledge Discovery Using Machine Learning Methods",

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.",

author = "Oded Maimon and Lior Rokach and Erez Shmueli",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2023.",

year = "2023",

month = jan,

day = "1",

doi = "10.1007/978-3-031-24628-9_1",

language = "אנגלית",

isbn = "9783031246272",

pages = "1--19",

booktitle = "Machine Learning for Data Science Handbook",

publisher = "Springer International Publishing",

}

TY - CHAP

T1 - Data Science and Knowledge Discovery Using Machine Learning Methods

AU - Maimon, Oded

AU - Rokach, Lior

AU - Shmueli, Erez

PY - 2023/1/1

Y1 - 2023/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85195553158&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-24628-9_1

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

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.chapter???

AN - SCOPUS:85195553158

SN - 9783031246272

SP - 1

EP - 19

BT - Machine Learning for Data Science Handbook

PB - Springer International Publishing

ER -

Data Science and Knowledge Discovery Using Machine Learning Methods

Abstract

Access to Document

Other files and links

Fingerprint

Cite this