Apply data science : (Record no. 45903)

MARC details
000 -LEADER
fixed length control field 03906cam a2200421 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251013113846.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230119s2023 gw a ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783658387983
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 365838798X
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9783658387976
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 3658387971
041 ## - LANGUAGE CODE
Language English
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
072 #7 - SUBJECT CATEGORY CODE
Subject category code UN
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM031000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UN
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
Edition number 23/eng/20230119
Item number BAR
245 00 - TITLE STATEMENT
Title Apply data science :
Remainder of title introduction, applications and projects /
Statement of responsibility, etc Thomas Barton, Christian Müller, editors.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer Vieweg,
Date of publication, distribution, etc Copyright© 2023.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 232 pages :
Other physical details illustrations (some color)
505 ## - FORMATTED CONTENTS NOTE
Title Cover<br/>Front Matter<br/>Part I. Introduction<br/>1. Data Science: From Concept to Application<br/>Part II. Introduction to Data Science<br/>2. Visualization and Deep Learning in Data Science<br/>3. Digital Ethics in Data-Driven Organizations and AI Ethics as Application Example<br/>4. Multiple Perspectives for the Implementation of Innovative Technological Solutions in the Context of Data-Driven Decision-Making<br/>5. Don’t Be Afraid of Failure—Insights from a Survey on the Failure of Data Science Projects<br/>Part III. Systems, Tools and Methods<br/>6. Recommendation Systems and the Use of Machine Learning Methods<br/>7. Comparison of Machine Learning Functionalities of Business Intelligence and Analytics Tools<br/>8. Using the Data Science Process Model Version 1.1 (DASC-PM v1.1) for Executing Data Science Projects: Procedures, Competencies, and Roles<br/>Part IV. Applications<br/>9. Integration of Renewable Energies—AI-Based Prediction Methods for Electricity Generation from Photovoltaic Systems<br/>10. Machine Learning for Energy Management Optimization<br/>11. Text Mining in Scientific Literature Evaluation: Extraction of Keywords for Describing Content<br/>12. Identification of Relevant Relationships in Data Using Machine Learning<br/>13. Framework for the Management and Analysis of Vehicle Data for Model-Based Driver Assistance System Development in Teaching and Research<br/>Correction to: Using the Data Science Process Model Version 1.1 (DASC-PM v1.1) for Executing Data Science Projects: Procedures, Competencies, and Roles<br/>Back Matter
520 ## - SUMMARY, ETC.
Summary, etc Apply Data Science<br/>Introduction, Applications and Projects<br/>This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown. The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electronic data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Barton, Thomas,
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Müller, Christian,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ezproxy.lib.gla.ac.uk/login?url=https://link.springer.com/10.1007/978-3-658-38798-3">https://ezproxy.lib.gla.ac.uk/login?url=https://link.springer.com/10.1007/978-3-658-38798-3</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type General Books
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
700 1# - ADDED ENTRY--PERSONAL NAME
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Relator term editor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Barton, Thomas
Title Apply Data Science
Place, publisher, and date of publication Wiesbaden : Springer Fachmedien Wiesbaden GmbH,c2023
International Standard Book Number 9783658387976.
856 40 - ELECTRONIC LOCATION AND ACCESS
Public note Connect to e-book
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b3940187x
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Location Shelving location Date of Cataloging Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction CUTN Central Library CUTN Central Library Generalia 13/10/2025   005.7 BAR 54558 13/10/2025 13/10/2025 General Books