Third special issue on knowledge discovery and business intelligence

Abstract

[Excerpt] Expert Systems were proposed in the mid 1970s (Arnott & Pervan, 2014) with the goal of building computerized systems that mimic human behavior to solve real-world tasks. Such systems were based on artificial intelligence (AI) techniques, typically by adopting explicit (human understandable) knowledge, extracted from domain experts (e.g. by using interviews) and that was stored in a knowledge base (Buchanan, 1986).We would like to thank the other KDBI 2015 track (of EPIA) co-organizers, Luis Cavique, Joao Gama and Nuno Marques. Also, we thank the authors, who contributed with their papers, and the reviewers (from the KDBI 2015 program committee and the ES journal). This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia with in the Project Scope: UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio