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Full-Text Articles in Physical Sciences and Mathematics
On The Exactitude Of Big Data: La Bêtise And Artificial Intelligence, Noel Fitzpatrick, John D. Kelleher
On The Exactitude Of Big Data: La Bêtise And Artificial Intelligence, Noel Fitzpatrick, John D. Kelleher
Articles
This article revisits the question of ‘la bêtise’ or stupidity in the era of Artificial Intelligence driven by Big Data, it extends on the questions posed by Gille Deleuze and more recently by Bernard Stiegler. However, the framework for revisiting the question of la bêtise will be through the lens of contemporary computer science, in particular the development of data science as a mode of analysis, sometimes, misinterpreted as a mode of intelligence. In particular, this article will argue that with the advent of forms of hype (sometimes referred to as the hype cycle) in relation to big data and …
Pathways To The Cosmos:The Alignment Of Megalithic Tombs In Ireland And Atlantic Europe, Frank Prendergast, Gabriel Cooney
Pathways To The Cosmos:The Alignment Of Megalithic Tombs In Ireland And Atlantic Europe, Frank Prendergast, Gabriel Cooney
Articles
Gabriel Cooney and Frank Prendergast present the context of and outline the approach to this one-day conference organised by Archaeology Ireland on behalf of the National Monuments Service at the Department of Culture, Heritage and the Gaeltacht and the Office of Public Works to mark the European Year of Cultural Heritage 2018. The event will take place at Dublin Castle on 15 September 2018.
Presenting A Hybrid Processing Mining Framework For Automated Simulation Model Generation, Susan Mckeever, Mohammad Messabah
Presenting A Hybrid Processing Mining Framework For Automated Simulation Model Generation, Susan Mckeever, Mohammad Messabah
Conference papers
Recent advances in information technology systems have enabled organizations to store tremendous amounts of business process data. Process mining offers a range of algorithms and methods to analyze and extract metadata for these processes. This paper presents a novel approach to the hybridization of process mining techniques with business process modelling and simulation methods. We present a generic automated end-to-end simulation framework that produces unbiased simulation models using system event logs. A conceptual model and various meta-data are derived from the logs and used to generate the simulation model. We demonstrate the efficacy of our framework using a business process …