Citation: Decision Analytics 2017 4:1
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In this paper, we introduce models of sequential decision making in consumer lending. From the definition of adverse selection in static lending models, we show that homogenous borrowers take-up offers at diff...
Citation: Decision Analytics 2016 3:6
Ever since the first incarnations of maturity models, critics have voiced several concerns with these frameworks. Indeed, a lack of model fit and oversimplification of the real world can be attributed to the r...
Citation: Decision Analytics 2016 3:5
A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport
We formalise and present an innovative general approach for developing complex system models from survey data by applying Bayesian Networks. The challenges and approaches to converting survey data into usable ...
Citation: Decision Analytics 2016 3:4
We discuss a social decision making model in which individuals, represented by nodes, interact with each other through ties in a social network. Each node takes its decisions considering a set of points of vie...
Citation: Decision Analytics 2016 3:3
In many industrial situations, where systems must be monitored using data recorded throughout a historical period of observation, one cannot fully rely on sensor data, but often only has event data to work with. ...
Citation: Decision Analytics 2016 3:2
Supervised classification with interdependent variables to support targeted energy efficiency measures in the residential sector
This paper presents a supervised classification model, where the indicators of correlation between dependent and independent variables within each class are utilized for a transformation of the large-scale in...
Citation: Decision Analytics 2016 3:1
Analysis of public information from social media could yield interesting results and insights into the world of public opinions about almost any product, service or personality. Social network data is one of t...
Citation: Decision Analytics 2015 2:8
A structured scientific solution to the Israeli–Palestinian conflict: the analytic hierarchy process approach
While the Israeli–Palestinian conflict has raged for decades, in all of its ramifications there has never been a totally structured or scientific approach to the conflict with all of its details. The Analytic ...
Citation: Decision Analytics 2015 2:7
This paper is divided into four main parts. In the first part of the study, we identified the most significant factors that affect the performance of groups in collaborative learning situations. The results sh...
Citation: Decision Analytics 2015 2:6
Customer churn predictive modeling deals with predicting the probability of a customer defecting using historical, behavioral and socio-economical information. This tool is of great benefit to subscription bas...
Citation: Decision Analytics 2015 2:5
An important strategic decision within the food industry is to achieve the optimal product portfolio allowing an organization to support its customers in the best possible way. Numerous models exist to categor...
Citation: Decision Analytics 2015 2:4
Individual achievement in college has been closely tied to dropout and graduation rates and these indices of completion have been considered the most important measures for gauging achievement in undergraduate...
Citation: Decision Analytics 2015 2:3
Crop yield is influenced over time and space, namely, by a wide range of variables linked with crop genetics, agronomic management practices and the environment under which the crop dynamically responds to max...
Citation: Decision Analytics 2015 2:2
Improving accuracy of students’ final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique
There is a perpetual elevation in demand for higher education in the last decade all over the world; therefore, the need for improving the education system is imminent. Educational data mining is a newly-visib...
Citation: Decision Analytics 2015 2:1
In many enterprises and other types of organizations, decision making is both a crucial and a challenging task. Despite their importance, many decisions are still made based on experience and intuition rather ...
Citation: Decision Analytics 2014 1:9
The rationalization of the healthcare processes and organizations is a task of fundamental importance to grant both the quality and the standardization of healthcare services, and the minimization of costs. Cl...
Citation: Decision Analytics 2014 1:8
Sleep disorders are a significant and growing problem, both for the economy of the nation and for the physical and psychological well-being of individual sufferers. The purpose of this research was to investig...
Citation: Decision Analytics 2014 1:7
A comparative analysis of machine learning methods for classification type decision problems in healthcare
Advanced analytical techniques are gaining popularity in addressing complex classification type decision problems in many fields including healthcare and medicine. In this exemplary study, using digitized sign...
Citation: Decision Analytics 2014 1:6
Ontological specification of quality of chronic disease data in EHRs to support decision analytics: a realist review
This systematic review examined the current state of conceptualization and specification of data quality and the role of ontology based approaches to develop data quality based on "fitness for purpose" within ...
Citation: Decision Analytics 2014 1:5
Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques
Today’s economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more v...
Citation: Decision Analytics 2014 1:4
Correlated concept based dynamic document clustering algorithms for newsgroups and scientific literature
Increase in the number of documents in the corpuses like News groups, government organizations, internet and digital libraries, have led to greater complexity in categorizing and retrieving them. Incorporating...
Citation: Decision Analytics 2014 1:3
Determining the revenue contribution of logistics customer service improvements: a multi criteria decision making approach
In operations and service management generating revenues is as important as reducing costs. Although logistics customer service is an important measure for executives, little research has been conducted to qua...
Citation: Decision Analytics 2014 1:2
Decision making is a balancing act on a three-legged stool of insight, analysis, and action. If we cannot keep the three legs even, we wobble. And sitting on the stool is not even enough. We have to juggle kno...
Citation: Decision Analytics 2014 1:1