Publication:
Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019

dc.contributor.authorTimakum, Tatsawan
dc.contributor.authorLee, Soobin
dc.contributor.authorSong, Il-Yeol
dc.contributor.authorSong, Min
dc.contributor.editorSong, Min; Song, Il-Yeol; Kotsis, Gabriele; Tjoa, A. Min; Khalil, Ismail
dc.date.accessioned2023-12-16T08:02:57Z
dc.date.available2023-12-16T08:02:57Z
dc.date.issued2020
dc.date.issuedBE2563
dc.description.abstractThe International Conference on Big Data Analytics and Knowledge Discovery (DaWaK) has become a key conduit to exchange experience and knowledge among researchers and practitioners in the field of data warehousing and knowledge discovery. This study has quantitatively analyzed the 775 papers published in DaWaK from 1999 to 2019. This study presents the knowledge structure of the DaWaK papers and identifies the evolution of research topics in this discipline. Several text mining techniques were applied to analyze the contents of the research fields and to structure the knowledge presented at DaWaK. Dirichlet Multinomial Regression (DMR) is used to examine the trend of the research topics. Research metrics were used to identify conference and paper performance in terms of citation counts, readers, and the number of downloads. The study shows that DaWaK research outcomes have been receiving consistent attention from the scholarly community in the past 21 years. The 775 papers were cited by 4,339 times, marking the average number of citations of each proceeding as 207 times, and the average number of citations per published paper as six times.
dc.identifier.doi10.1007/978-3-030-59065-9_1
dc.identifier.isbn978-3-030-59065-9
dc.identifier.urihttps://harrt.in.th/handle/123456789/5828
dc.language.isoen
dc.publisherSpringer International Publishing
dc.publisher.placeCham
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.subjectการวิเคราะห์เนื้อหา
dc.subjectคลังข้อมูล
dc.subjectการทำแผนที่ความรู้คลังข้อมูล
dc.subjectContent Analysis
dc.subjectData Warehousing Knowledge Mapping
dc.subjectData Warehousing
dc.subjectResearch Trends
dc.subject.isced0322 บรรณารักษ์, สารสนเทศ และการศึกษาจดหมายเหตุ
dc.subject.oecd5.8 นิเทศศาสตร์และสื่อสารมวลชน
dc.titleAnalyzing the Research Landscape of DaWaK Papers from 1999 to 2019
dc.typeเอกสารตีพิมพ์ในการประชุม (Conference Proceedings)
dspace.entity.typePublication
harrt.researchAreaบรรณารักษศาสตร์
harrt.researchGroupบรรณารักษศาสตร์และสารสนเทศศาสตร์
harrt.researchTheme.1Data Science
harrt.researchTheme.2Data Mining
harrt.researchTheme.3Data Warehousing
mods.location.urlhttps://link.springer.com/chapter/10.1007/978-3-030-59065-9_1
oaire.citation.titleBig Data Analytics and Knowledge Discovery
oaire.citation.volume12393
oairecerif.author.affiliationYonsei University. Department of Library and Information Science
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