This article analyses the profitability of a wind power plant in combination with a hydrogen storage. We distinguish between off- and on-shore locations with a 50 MW unit. The hydrogen of the storage unit can be used to either be re-electrified or directly marketed. The study analyses the...

Data mining may be utilized in healthcare industry in actual fact to “mined” clinical information to get hidden information for intelligent and effective decision making. Advanced data processing techniques in discovery of hidden patterns and relationships may be a fruitful as remedy to the...

Growing problem of card payment fraudulent abuse is a main focus of banks and payment Service Providers (PSPs). This study is using naive Bayes, C4.5 decision tree and bagging ensemble machine learning algorithms to predict outcome of regular and fraud transactions. Performance of algorithms is...

Across disciplines, researchers and practitioners employ decision tree ensembles such as random forests and XGBoost with great success. What explains their popularity? This chapter showcases how marketing scholars and decision makers can harness the power of decision tree ensembles for academic...

Purpose – Personal bankruptcy is on the rise in Malaysia. The Insolvency Department of Malaysia reported that personal bankruptcy has increased since 2007, and the total accumulated personal bankruptcy cases stood at 131,282 in 2014. This is indeed an alarming issue because the increasing...

Companies are employing various data mining techniques to find solutions to pervasive business problems. All the functions in an organization are finding their own specific use cases to apply data mining models and benefit from it. Most common data mining models focus on prediction,...

This paper develops an artificial intelligence-based automated valuation model (AI-AVM) using the decision tree and the boosting techniques to predict residential property prices in Singapore. We use more than 300,000 property transaction data from Singapore's private residential property market...

Decision tree modelling, as one of data mining techniques, is used for credit scoring of bank customers. The main problem is the construction of decision trees that could classify customers optimally. This study presents a new hybrid mining approach in the design of an effective and appropriate...