Finding Shortcuts to a black-box model using Frequent Sequence Mining: Explaining Deep Learning models for Fact-Checking

Deep-learning (DL) models could greatly advance the automation of fact-checking, yet have not widely been adopted by the public because of their hard-to-explain nature. Although various techniques have been proposed to use local explanations for the behaviour of DL models, little attention has been paid to global explanations. <br/>In response,...

Data-driven assisted model specification for complex choice experiments data: Association rules learning and random forests for Participatory Value Evaluation experiments

We propose three procedures based on association rules (AR) learning and random forests (RF) to support the specification of a portfolio choice model applied in data from complex choice experiment data, specifically a Participatory Value Evaluation (PVE) choice experiment. In a PVE choice experiment, respondents choose a combination of...

Association analysis of accident factors in petrochemical storage tank farms

In order to identify and clarify the association between the factors leading to accidents in a petrochemical tank area, this study analyzes investigation reports of 212 petrochemical tank farm accidents and combines this with the “association rule” mining and science related to complex networks. The main risk factors are determined and a risk...

Risk Analysis of Laboratory Fire Accidents in Chinese Universities by Combining Association Rule Learning and Fuzzy Bayesian Networks

Targeting the challenges in the risk analysis of laboratory fire accidents, particularly considering fire accidents in Chinese universities, an integrated approach is proposed with the combination of association rule learning, a Bayesian network (BN), and fuzzy set theory in this study. The proposed approach has the main advantages of deriving...

Root cause analysis of ATC delays: A case study on KLM flights at Schiphol Airport

Due to the continuous growth of air traffic up to the year 2020, the air transportation network has become more complex, and the airports and airspace busier. However, capacities have not grown at the same rate as air traffic, making Air Traffic Control one of the most encountered primary delays. A data driven approach is taken in order to...

Learning from best practices in sustainable urbanization

Attempts for implementing sustainable urbanization have been reported and documented around the world. These efforts have led to a vast number of exemplary sustainable urbanization practices, classified as best practices. Best practices contain valuable information in the form of experiences, and learning from them represents an opportunity...

Why My Payment Got Rejected: A Method to Mine Payment Refusal Clues

A significant amount of payments fail for seemingly ‘mysterious’ reasons when refused by an issuer (i.e. cardholder’s bank). The technical and social complexities, such as a principal-agent problem, hinder the development of policies or information architectures, which impose an issuer to share its ‘honest’ reason. In this thesis we propose a...

Automated detection of performance regressions in web applications using association rule mining

Performance testing is an important stage of developing web applications intended to operate with high availability under severe load. However, this process still remains to a large extent elaborate, expensive and unreliable. Most often the performance testing activities are being done manually, and this significantly affects development time...