Designing Learning to Research the Formal Concept Analysis of Transactional Data

WATMOUGH, Martin, POLOVINA, Simon and ANDREWS, Simon (2013). Designing Learning to Research the Formal Concept Analysis of Transactional Data. In: PFEIFFER, Heather D., IGNATOV, Dmitry I., POELMANS, Jonas and GADIRAJU, Nagarjuna, (eds.) Conceptual Structures for STEM Research and Education. Lecture Notes in Computer Science (7735). Berlin, Springer, 231-238.

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Official URL: http://dx.doi.org/10.1007/978-3-642-35786-2_16
Link to published version:: 10.1007/978-3-642-35786-2_16

Abstract

Transactional systems are core to much business activity; however leveraging any advantage from the data in these enterprise systems remains a challenging task for businesses. To research and discover the hidden semantics in transactional data, Sheffield Hallam University has incorporated Formal Concept Analysis (FCA) into two of its degree courses. We present a learning, teaching and assessment (LTA) method that integrates with this research. To make it reflect industrial practice and to further the state of the art of the research, this method includes the use of ERPsim. This large scale, real-world business simulation software is based on the Enterprise Resource Planning (ERP) enterprise system by SAP A.G., a global business software vendor. Together with a mix of individual and group work approaches, FCA tools (namely FCA BedRock, In-Close and Concept Explorer) and comparisons with alternative approaches, it is emerging that FCA can fulfil an important role in transactional systems and enhance its role in Business Intelligence (BI).

Item Type: Book Section
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number: 10.1007/978-3-642-35786-2_16
Depositing User: Helen Garner
Date Deposited: 28 Mar 2013 14:26
Last Modified: 09 Nov 2016 16:26
URI: http://shura.shu.ac.uk/id/eprint/6847

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