Article

Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019

Authors:

Tatsawan Timakum,

Soobin Lee,

Il-Yeol Song,

Min SongAuthors Info & Claims

Big Data Analytics and Knowledge Discovery: 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings

Pages 3 - 13

https://doi.org/10.1007/978-3-030-59065-9_1

Published: 14 September 2020 Publication History

Abstract

The 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.

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Published In

Big Data Analytics and Knowledge Discovery: 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings

Sep 2020

412 pages

ISBN:978-3-030-59064-2

DOI:10.1007/978-3-030-59065-9

Editors:
Min Song
Department of Library and Information, Yonsei University, Seoul, Korea (Republic of)
,
Il-Yeol Song
Drexel University, Philadelphia, PA, USA
,
Gabriele Kotsis
Johannes Kepler University of Linz, Linz, Austria
,
A Min Tjoa
Software Competence Center Hagenberg (Au), Vienna, Wien, Austria
,
Ismail Khalil
Johannes Kepler University of Linz, Linz, Oberösterreich, Austria

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 14 September 2020

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Recommendations

Exploring the research landscape of data warehousing and mining based on DaWaK Conference full-text articles

Largest contribution to LIS by external disciplines as measured by the characteristics of research articles

The research core of the knowledge management literature

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