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Decision Analytics | Home page

Decision Analytics is a peer-reviewed open access journal published under the brand SpringerOpen.

Decision Analytics promotes the applications of computer technology, operations research, statistics, and simulation to decision-making and problem-solving in all organizations and enterprises within the private and public sectors. The journal focuses on predictive as well as prescriptive analytics taking organizations to a higher degree of intelligence

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Decision Analytics | Home page | decisionanalyticsjournal.springeropen.com Reviews

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Decision Analytics is a peer-reviewed open access journal published under the brand SpringerOpen. Decision Analytics promotes the applications of computer technology, operations research, statistics, and simulation to decision-making and problem-solving in all organizations and enterprises within the private and public sectors. The journal focuses on predictive as well as prescriptive analytics taking organizations to a higher degree of intelligence

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Decision Analytics | Home page | decisionanalyticsjournal.springeropen.com Reviews

https://decisionanalyticsjournal.springeropen.com

Decision Analytics is a peer-reviewed open access journal published under the brand SpringerOpen. Decision Analytics promotes the applications of computer technology, operations research, statistics, and simulation to decision-making and problem-solving in all organizations and enterprises within the private and public sectors. The journal focuses on predictive as well as prescriptive analytics taking organizations to a higher degree of intelligence

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decisionanalyticsjournal.springeropen.com

1

Models of sequential decision making in consumer lending | Decision Analytics | Full Text

http://decisionanalyticsjournal.springeropen.com/articles/10.1186/s40165-016-0023-0

Skip to main content. Models of sequential decision making in consumer lending. View ORCID ID profile. Peter A. Beling. George A. Overstreet. For scorecard construction]. Similarly, portfolio managers may have access to a scorecard forecasting applicant responses to offers. In turn, forecasts of default probabilities and response probabilities serve as inputs to business metric functions such as expected profit. An important line of research in human decision making is bounded rationality. Bounded ra...

2

Correlated concept based dynamic document clustering algorithms for newsgroups and scientific literature | Decision Analytics | Full Text

http://decisionanalyticsjournal.springeropen.com/articles/10.1186/2193-8636-1-3

Skip to main content. Correlated concept based dynamic document clustering algorithms for newsgroups and scientific literature. Jayabharathy and Kanmani; licensee Springer. 2014. Static and dynamic document clustering. MAximum resemblance data labeling (MARDL) technique. Inverse document frequency (TFIDF). Or by query expansion Sammut and Webb ( 2010. And Kowalski and Maybury 2002. Buckley and Lewit 1985. Then clustering was used in browsing a collection of documents or in organizing the results returned...

3

A context-aware and social model of dynamic multiple criteria preferences | Decision Analytics | Full Text

http://decisionanalyticsjournal.springeropen.com/articles/10.1186/s40165-016-0020-3

Skip to main content. A context-aware and social model of dynamic multiple criteria preferences. Giacchi et al. 2016. Multiple criteria decision making. Grabisch and Rusinowska 2010a. Barjis et al. 2011. Pachidi et al. 2014. As reported in López-Pintado ( 2008. Individual decisions are often influenced by the decisions of other individuals. Without considering any interaction, nodes easily rank criteria in terms of importance following an individual cognitive model (Korhonen and Wallenius 1997. A fundame...

4

A comparative analysis of machine learning methods for classification type decision problems in healthcare | Decision Analytics | Full Text

http://decisionanalyticsjournal.springeropen.com/articles/10.1186/2193-8636-1-6

Skip to main content. A comparative analysis of machine learning methods for classification type decision problems in healthcare. Emanet et al. licensee Springer. 2014. As the decision situations become increasingly more complex, advanced analytical techniques are gaining popularity in addressing wide variety of problem types (descriptive, predictive and prescriptive) in many fields including healthcare and medicine (Delen et al. 2009. Electronic auscultation of pulmonary sounds (Earis and Cheetham 2000.

5

A joint renewal process used to model event based data | Decision Analytics | Full Text

http://decisionanalyticsjournal.springeropen.com/articles/10.1186/s40165-016-0019-9

Skip to main content. A joint renewal process used to model event based data. View ORCID ID profile. Mergenthaler et al. 2016. In many industrial situations, where systems must be monitored using data recorded throughout a historical period of observation, one cannot fully rely on. But often only has. Renewal processes have been a frequent object of analysis in early studies of stochastic processes, see Cox ( 1962. Kai et al. ( 2014. Kallen et al. ( 2010. Modir et al. ( 2010. Or Truccolo ( 2005. Is anoth...

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Skip to primary content. Skip to secondary content. How We Work With You. What makes us different. Relevant experience as owners of change. Expertise and capability that creates impact. Differentiated Value and ROI. Our expertise has been applied with success in airlines of all sizes and in all areas of the world. Our clients typically engage us to capture significant value through cost restructuring, revenue enhancement, operational and customer experience improvements. How We Work With You.

decisionanalyticsjournal.com

Decision Analytics - a SpringerOpen journal

Bottom,Top,Middle,Right1. Madjid Tavana, La Salle University. There has been an error retrieving the data. Please try again. Process modeling and decision mining in a collaborative distance learning environment. Premchaiswadi W and Porouhan P. 6 (4 August 2015). A novel cost-sensitive framework for customer churn predictive modeling. Bahnsen AC, Aouada D and Ottersten B. 5 (12 June 2015). Towards decision analytics in product portfolio management. Otten S, Spruit M and Helms R. 4 (4 June 2015). Journal p...

decisionanalyticsjournal.springeropen.com

Decision Analytics | Home page

Skip to main content. Models of sequential decision making in consumer lending. Kanshukan Rajaratnam, Peter A. Beling and George A. Overstreet. Published on: 24 November 2016. An analytics approach to adaptive maturity models using organizational characteristics. Thijs Baars, Frederik Mijnhardt, Kevin Vlaanderen and Marco Spruit. Published on: 10 November 2016. A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport. Published on: 12 September 2016.

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Home | Decision Applications

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Decision Apps

How to develop mental flexibility in solving the wicked problems of the 21. Take the DPS Here! It turns out that many of our decisions are made through habit. Over time we develop preferred modes of processing information in how we solve problems, and we don't always make the right choices or come up with the best decisions - even when we think we do! Now there is a way of making sounder choices and better decisions. Over 10 years of research has gone into the creation of the DPS.