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Books on the topic 'Predictive business decisions'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Zopounidis, Constantin, and Augustinos I. Dimitras. Multicriteria Decision Aid Methods for the Prediction of Business Failure. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2885-9.

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2

I, Dimitras Augustinos, ed. Multicriteria decision aid methods for the prediction of business failure. Kluwer Academic Publishers, 1998.

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3

Zopounidis, Constantin. Multicriteria Decision Aid Methods for the Prediction of Business Failure. Springer US, 1998.

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4

Bower, Anthony G. Predicting locational decisions of multinational corporations: A survey and synthesis of approaches and policy implications = Takokuseki kigyō no basho sentei yohō : apurōchi oyobi hōsaku anji no gaikan to sōgō. RAND, 1992.

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5

Saaty, Thomas L. Prediction, projection, and forecasting: Applications of the analytic hierarchy process in economics, finance, politics, games, and sports. Kluwer Academic Publishers, 1991.

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6

Hayward, Peter. Developing wisdom: How foresight develops in individuals and groups. VDM Verlag Dr. Müller, 2008.

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7

Predictive and Simulation Analytics: Deeper Insights for Better Business Decisions. Springer International Publishing AG, 2023.

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8

Data Mining and Predictive Analytics for Business Decisions: A Case Study Approach. Mercury Learning & Information, 2023.

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9

Data Mining and Predictive Analytics for Business Decisions: A Case Study Approach. Mercury Learning & Information, 2023.

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10

Data Mining and Predictive Analytics for Business Decisions: A Case Study Approach. Mercury Learning & Information, 2023.

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11

Cordoba, Alberto. Understanding the Predictive Analytics Lifecycle. Wiley & Sons, Incorporated, John, 2014.

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12

Cordoba, Alberto. Understanding the Predictive Analytics Lifecycle. Wiley & Sons, Incorporated, John, 2014.

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13

Cordoba, Alberto. Understanding the Predictive Analytics Lifecycle. Wiley & Sons, Incorporated, John, 2014.

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14

Cordoba, Alberto. Understanding the Predictive Analytics Lifecycle. Wiley, 2014.

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15

Cordoba, Alberto. Understanding the Predictive Analytics Lifecycle. Wiley & Sons, Limited, John, 2014.

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16

Cokins, Gary, and Lawrence Maisel. Predictive Business Analytics: Forward Looking Capabilities to Improve Business Performance. Wiley & Sons, Incorporated, John, 2013.

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17

Cokins, Gary, and Lawrence Maisel. Predictive Business Analytics: Forward Looking Capabilities to Improve Business Performance. Wiley & Sons, Incorporated, John, 2013.

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18

Cokins, Gary, and Lawrence Maisel. Predictive Business Analytics: Forward Looking Capabilities to Improve Business Performance. Wiley & Sons, Incorporated, John, 2013.

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19

Cokins, Gary, and Lawrence Maisel. Predictive Business Analytics: Forward Looking Capabilities to Improve Business Performance. Wiley & Sons, Incorporated, John, 2013.

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20

Assessment, measurement, and prediction for personnel decisions. 2nd ed. Routledge, 2011.

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21

Decision management systems: A practical guide to using business rules and predictive analytics. IBM Press, 2011.

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22

An introduction to predictive maintenance. 2nd ed. Butterworth-Heinemann, 2002.

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23

Finlay, S. Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods. Palgrave Macmillan, 2014.

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24

Finlay, S. Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods. imusti, 2014.

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25

Finlay, S. Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods. Palgrave Macmillan, 2014.

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26

Modeling Techniques in Predictive Analytics: Business Problems and Solutions with R. Pearson Education, Limited, 2013.

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27

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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28

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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29

Miner, Gary D., Linda Miner, and Darrell L. Dean. HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Productivity Press, 2019.

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30

HEALTHCARE's OUT SICK - PREDICTING a CURE - Solutions That WORK !!!!: Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System. Taylor & Francis Group, 2019.

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31

Vargas, Luis G., and Thomas L. Saaty. Prediction, Projection and Forecasting: Applications of the Analytic Hierarchy Process in Economics, Finance, Politics, Games and Sports. Springer, 1990.

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32

Vargas, Luis G., and Thomas L. Saaty. Prediction, Projection and Forecasting: Applications of the Analytic Hierarchy Process in Economics, Finance, Politics, Games and Sports. Springer Netherlands, 2012.

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33

Modeling Techniques in Predictive Analytics: A Guide to Data Science. Pearson Higher Education & Professional Group, 2014.

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34

Superforecasting: The Art and Science of Prediction. Penguin Random House, 2015.

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35

Tetlock, Philip E., and Dan Gardner. Superforecasting: The Art and Science of Prediction. Broadway Books, 2016.

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36

Superforecasting: The Art and Science of Prediction. Crown, 2015.

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37

Superforecasting: The Art and Science of Prediction. Penguin Random House, 2016.

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38

Superforecasting: The Art and Science of Prediction. Penguin Random House, 2015.

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39

Superforecasting: The Art and Science of Prediction. Crown, 2015.

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40

Barnea, Avner. We Never Expected That. The Rowman & Littlefield Publishing Group, Inc., 2021. https://doi.org/10.5040/9781978738065.

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The disciplines of strategic intelligence at the governmental level and competitive business intelligence constitute accepted methods of decision-supporting to prevent mistakes and strategic surprise. This research discovered that many researchers in the intelligence field feel that intelligence methodology in both contexts has reached a “glass ceiling.” Thus far, research has focused separately on national intelligence and intelligence in business, without any attempt to benchmark from one field to the other. This book shows that it is possible to use experience gained in the business field t

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41

Mungoli, Neelesh. Advanced Probabilistic Graphical Models in Machine Learning : a Comprehensive Treatise on Bayesian Networks, Markov Chains, and Beyond : Mastering the Art of Uncertainty: Techniques, Algorithms, and Real-World Applications for Complex Decision-Making and Prediction. Absolute Author Publishing House, 2023.

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42

Martens, David. Data Science Ethics. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847263.001.0001.

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Data science ethics is all about what is right and wrong when conducting data science. Data science has so far mainly been used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. This book looks at the different concepts and techniques related to data science ethics. Data scientists and business managers are not inherently unethical, but at the same time

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43

MAHESHA, Dr C. R., Dr S. BASKARAN, Dr RAJU T N, and Smt SUPRABHA R. SALES AND DISTRIBUTION MANAGEMENT. KAAV PUBLICATIONS, DELHI, INDIA, 2022. http://dx.doi.org/10.52458/9789391842420.2022.tb.

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Business leaders know that accurate sales & distribution management is a critical organizational capability. Proper sales management is predicting the future, and the list of what needs to be predicted to run a world-class organization and its supply chain is virtually endless. Accurate sales management and distribution system is essential for identifying new market opportunities, forecasting risks, events, supply chain disruptions, innovation, competition, market growth and trends. It also includes the ability to conduct 'what-if' analysis to understand the tradeoff implications of decisi

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44

Kasabov, Nikola. Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering. The MIT Press, 1996. http://dx.doi.org/10.7551/mitpress/3071.001.0001.

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In a clear and accessible style, Kasabov describes rule-based and connectionist techniques and then their combinations, with fuzzy logic included, showing the application of the different techniques to a set of simple prototype problems, which makes comparisons possible. A particularly strong feature of the text is that it is filled with applications in engineering, business, and finance. AI problems that cover most of the application-oriented research in the field (pattern recognition, speech and image processing, classification, planning, optimization, prediction, control, decision making, a

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45

Model to Forecast Future Paradigms. Taylor & Francis Group, 2020.

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46

Chambers, Lance D., and Michael A. P. Taylor. Strategic Planning: Processes, Tools and Outcomes. Taylor & Francis Group, 2019.

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47

Strategic Planning: Processes, Tools and Outcomes. Taylor & Francis Group, 2019.

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48

Chambers, Lance D., and M. A. P. Taylor. Strategic Planning: Processes Tools and Outcomes. Taylor & Francis Group, 2020.

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