Pattern Discovery and Validation Using Scientific Research Methods

dc.contributor.authorRiehle, Dirk
dc.contributor.authorHarutyunyan, Nikolay
dc.contributor.authorBarcomb, Ann
dc.date.accessioned2020-03-05
dc.date.available2020-03-03
dc.date.created2020
dc.date.issued2020-03-05
dc.description.abstractPattern 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.en
dc.format.extentii, 22 Seiten
dc.identifier.doihttps://doi.org/10.25593/issn.2191-5008/CS-2020-01
dc.identifier.issn2191-5008
dc.identifier.opus-id13270
dc.identifier.urihttps://open.fau.de/handle/openfau/13270
dc.identifier.urnurn:nbn:de:bvb:29-opus4-132709
dc.language.isoen
dc.rights.urihttp://www.gesetze-im-internet.de/urhg/index.html
dc.subject.ddcDDC Classification::0 Informatik, Informationswissenschaft, allgemeine Werke :: 00 Informatik, Wissen, Systeme :: 000 Informatik, Informationswissenschaft, allgemeine Werke
dc.titlePattern Discovery and Validation Using Scientific Research Methodsen
dc.typereport
dcterms.publisherFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
local.sendToDnbfree*
local.series.id9
local.series.nameTechnical reports / Department Informatik
local.series.numberCS-2020-01
local.subject.fakultaetTechnische Fakultät
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
13270_cs-fau-tr-2020-01.pdf
Size:
1.53 MB
Format:
Adobe Portable Document Format
Description:
Faculties & Collections