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Explainable Predictive Decision Mining for Operational Support
Several decision points exist in business processes (e.g., whether a purchase order needs a manager’s approval or not), and different decisions are...
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Computer vision-based predictive analysis of chronic cardiovascular disease using heartbeat features
Heart disease has become one of the world’s most dangerous and serious diseases due to the difficulty in identifying it. Machine learning may assist...
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Adapting the Gini’s Index for Solving Predictive Tasks
The most used technique for solving prediction tasks is regression analysis which approximates the data at hand using a polynomial function. To...
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Development and evaluation of predictive models for predicting students performance in MOOCs
Predictive modelling in the education domain can be utilised to significantly improve teaching and learning experiences. Massive Open Online Courses...
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Predictive modelling and analytics of students’ grades using machine learning algorithms
The outbreak of COVID-19 has caused significant disruption in all sectors and industries around the world. To tackle the spread of the novel...
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Opinion mining for app reviews: an analysis of textual representation and predictive models
Popular mobile applications receive millions of user reviews. These reviews contain relevant information for software maintenance, such as bug...
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Transformative Predictive Modelling in the Business of Health: Harnessing Decision Trees for Strategic Insights and Enhanced Operational Efficiency
Predictive modelling has emerged as an indispensable tool in the dynamic business realm, sha** strategies and driving impactful decisions. This...
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The effects of scheduling network models in predictive processes in sports
In many sports disciplines, the schedule of the competitions is undeniably an inherent yet crucial component. The present study modeled sports...
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A Predictive Model for the Detection of Clients Suspicious Behavior
The purpose of this work is to identify the suspicious behavior of the clients of a financial institution. Financial institutions use rule-based...
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Hybrid Data-Driven and Knowledge-Based Predictive Maintenance Framework in the Context of Industry 4.0
The emergence of Industry 4.0 has heralded notable progress in manufacturing processes, utilizing sophisticated sensing and data analytics...
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Sequential predictive maintenance and spare parts management with data mining methods: a case study in bus fleet
The sustainability of enterprises in an increasingly competitive environment is proportional to their ability to use the resources efficiently....
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Predictive Policing—Are Ensemble Methods More Accurate Than Regression Methods?
The ability to predict crime before it takes place has acquired significant currency over the past decade. Predictive policing aims to achieve this...
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Artificial intelligence-related anomies and predictive policing: normative (dis)orders in liberal democracies
This article links three rarely considered dimensions related to the implementation of artificial intelligence (AI)-based technologies in the form of...
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Genetic Algorithms for AutoML in Process Predictive Monitoring
In recent years, AutoML has emerged as a promising technique for reducing computational and time cost by automating the development of machine...
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Event Log Sampling for Predictive Monitoring
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such...
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On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction
Just-In-Time Software Defect Prediction (JIT-SDP) is concerned with predicting whether software changes are defect-inducing or clean. It operates in...
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Predictive Maintenance Based on Machine Learning Model
This paper addresses the problem of predictive maintenance in industry 4.0. Industry 4.0 revolutionized companies in the way they produce,...
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Local Search for Integrated Predictive Maintenance and Scheduling in Flow-Shop
We address the Permutation Flow-Shop Scheduling Problem with Predictive Maintenance presented by Varnier and Zerhouni (2012), that consists in...
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State-of-Art and Maturity Overview of the Nuclear Industry on Predictive Maintenance
In order to ensure as continuous as possible nuclear energy production, it is necessary to guarantee the availability of all equipment involved in...
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From Phoebus to witches to death clocks: why we are taking predictive technologies to the extreme
In the following article, I shall focus on emerging technologies that increasingly try to predict our death, i.e. when we will die and from what...