[HTML][HTML] Considerations, challenges and opportunities when develo** data-driven models for process manufacturing systems

OJ Fisher, NJ Watson, JE Escrig, R Witt, L Porcu… - Computers & Chemical …, 2020 - Elsevier
The increasing availability of data, due to the adoption of low-cost industrial internet of things
technologies, coupled with increasing processing power from cloud computing, is fuelling …

Decision support and control for large-scale complex systems

FG Filip - Annual reviews in Control, 2008 - Elsevier
The technical and social systems of the present day are ever more large, complex and
complicated objects. Their models are characterized by numerous state and control …

Application of decision-tree induction techniques to personalized advertisements on internet storefronts

JW Kim, BH Lee, MJ Shaw, HL Chang… - International Journal of …, 2001 - Taylor & Francis
Customization and personalization services are a critical success factor for Internet stores
and Web service providers. This paper studies personalized recommendation techniques …

A survey of decision support system applications (1988–1994)

SB Eom, SM Lee, EB Kim… - Journal of the Operational …, 1998 - Taylor & Francis
To extend a previous survey of specific decision support system (DSS) applications over the
period (January 1971–April 1988), we have conducted a follow-up survey of DSS …

[BOOK][B] Case-based approximate reasoning

E Hüllermeier - 2007 - books.google.com
Case-based reasoning (CBR) has received a great deal of attention in recent years and has
established itself as a core methodology in the field of artificial intelligence. The key idea of …

A review of machine learning in dynamic scheduling of flexible manufacturing systems

P Priore, D De La Fuente, A Gomez, J Puente - Ai Edam, 2001 - cambridge.org
A common way of dynamically scheduling jobs in a flexible manufacturing system (FMS) is
by means of dispatching rules. The problem of this method is that the performance of these …

User recommendations for the optimized execution of business processes

I Barba, B Weber, C Del Valle… - Data & Knowledge …, 2013 - Elsevier
In order to be able to flexibly adjust a company's business processes (BPs) there is an
increasing interest in flexible process-aware information systems (PAISs). This increasing …

[HTML][HTML] Literature review: Anomaly detection approaches on digital business financial systems

SO Pinto, VA Sobreiro - Digital Business, 2022 - Elsevier
Anomaly detection approaches have become critically important to enhance decision-
making systems, especially regarding the process of risk reduction in the economic …

Large-scale complex systems

FG Filip, K Leiviskä - Springer Handbook of Automation, 2009 - Springer
Large-scale complex systems (LSS) have traditionally been characterized by large numbers
of variables, structure of interconnected subsystems, and other features that complicate the …

Infrastructure and complex systems automation

FG Filip, K Leiviskä - Springer Handbook of Automation, 2023 - Springer
The set of traditional characteristic features of large-scale complex systems (LSS) included
the large number of variables, structure of interconnected subsystems, and other features …