Pattern Discovery and Validation Using Scientific Research Methods
Please always quote using this URN: urn:nbn:de:bvb:29-opus4-132709
- Pattern discovery, the process of discovering previously unrecognized patterns, is usually performed as an ad-hoc process with little resulting certainty in the quality of the proposed patterns. Pattern validation, the process of validating the accuracy of proposed patterns, has rarely gone beyond the simple heuristic of "the rule of three". This article shows how to use established scientific research methods for the purpose of pattern discovery and validation. The result is an approach to pattern discovery and validation that can provide the same certainty that traditional scientific research methods can provide for the theories they are used to validate. This article describes ourPattern discovery, the process of discovering previously unrecognized patterns, is usually performed as an ad-hoc process with little resulting certainty in the quality of the proposed patterns. Pattern validation, the process of validating the accuracy of proposed patterns, has rarely gone beyond the simple heuristic of "the rule of three". This article shows how to use established scientific research methods for the purpose of pattern discovery and validation. The result is an approach to pattern discovery and validation that can provide the same certainty that traditional scientific research methods can provide for the theories they are used to validate. This article describes our approach and explores its usefulness for pattern discovery and evaluation in a series of studies.…
Author: | Dirk RiehleORCiD, Nikolay Harutyunyan, Ann Barcomb |
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Persistent identifiers - URN: | urn:nbn:de:bvb:29-opus4-132709 |
Persistent identifiers - DOI: | https://doi.org/10.25593/issn.2191-5008/CS-2020-01 |
ISSN: | 2191-5008 |
Series (Volume number): | Technical reports / Department Informatik (CS-2020-01) |
Document Type: | Report |
Language: | English |
Year of publication: | 2020 |
Date of online publication (Embargo Date): | 2020/03/03 |
Publishing Institution: | Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
Release Date: | 2020/03/05 |
Length/size: | ii, 22 Seiten |
Institutes: | Technische Fakultät |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke |
open_access (DINI-Set): | open_access |
Licence (German): |