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Apply Data Science

Overview of attention for book
Cover of 'Apply Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Data Science: From Concept to Application
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    Chapter 2 Visualization and Deep Learning in Data Science
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    Chapter 3 Digital Ethics in Data-Driven Organizations and AI Ethics as Application Example
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    Chapter 4 Multiple Perspectives for the Implementation of Innovative Technological Solutions in the Context of Data-Driven Decision-Making
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    Chapter 5 Don’t Be Afraid of Failure—Insights from a Survey on the Failure of Data Science Projects
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    Chapter 6 Recommendation Systems and the Use of Machine Learning Methods
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    Chapter 7 Comparison of Machine Learning Functionalities of Business Intelligence and Analytics Tools
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    Chapter 8 Using the Data Science Process Model Version 1.1 (DASC-PM v1.1) for Executing Data Science Projects: Procedures, Competencies, and Roles
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    Chapter 9 Integration of Renewable Energies—AI-Based Prediction Methods for Electricity Generation from Photovoltaic Systems
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    Chapter 10 Machine Learning for Energy Management Optimization
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    Chapter 11 Text Mining in Scientific Literature Evaluation: Extraction of Keywords for Describing Content
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    Chapter 12 Identification of Relevant Relationships in Data Using Machine Learning
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    Chapter 13 Framework for the Management and Analysis of Vehicle Data for Model-Based Driver Assistance System Development in Teaching and Research
Attention for Chapter 7: Comparison of Machine Learning Functionalities of Business Intelligence and Analytics Tools
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Chapter title
Comparison of Machine Learning Functionalities of Business Intelligence and Analytics Tools
Chapter number 7
Book title
Apply Data Science
Published by
Springer Vieweg, Wiesbaden, January 2023
DOI 10.1007/978-3-658-38798-3_7
Book ISBNs
978-3-65-838797-6, 978-3-65-838798-3
Authors

Roth-Dietrich, Gabriele, Gröschel, Michael, Reiner, Benedikt

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Student > Master 1 17%
Unknown 4 67%
Readers by discipline Count As %
Business, Management and Accounting 1 17%
Engineering 1 17%
Unknown 4 67%

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