Discovering Newsworthy Themes from Sequenced Data: A Step Towards Computational Journalism

Automatic discovery of newsworthy themes from sequenced data can relieve journalists from manually poring over a large amount of data in order to find interesting news. In this paper, we propose a novel <inline-formula> <tex-math notation="LaTeX">k</tex-math> <inline-g...

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Vydané v:	IEEE transactions on knowledge and data engineering Ročník 29; číslo 7; s. 1398 - 1411
Hlavní autori:	Fan, Qi, Li, Yuchen, Zhang, Dongxiang, Tan, Kian-Lee
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithm design and analysis Algorithms approximate algorithms Approximation Approximation algorithms Automation Computational efficiency Computational journalism Computing time Datasets Electronic commerce Electronic mail Engineering profession Games History News news theme discovery Pruning Query processing Run time (computers) Running sequenced data Summaries
ISSN:	1041-4347, 1558-2191
On-line prístup:	Získať plný text
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