Efficiently answering top-k frequent term queries in temporal-categorical range

He, Z, Wang, L, Lu, C, Jing, Y, Zhang, K, Han, W, Li, Jianxin, Liu, C and Wang, XS 2021, Efficiently answering top-k frequent term queries in temporal-categorical range, Information Sciences, vol. 574, pp. 238-258, doi: 10.1016/j.ins.2021.05.081.

Attached Files
Name Description MIMEType Size Downloads

Title Efficiently answering top-k frequent term queries in temporal-categorical range
Author(s) He, Z
Wang, L
Lu, C
Jing, Y
Zhang, K
Han, W
Li, JianxinORCID iD for Li, Jianxin orcid.org/0000-0002-9059-330X
Liu, C
Wang, XS
Journal name Information Sciences
Volume number 574
Start page 238
End page 258
Total pages 21
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-10
ISSN 0020-0255
Keyword(s) Top-k query
Temporal-categorical databases
Term frequency counting
Threshold-style algorithms
Range query
Language eng
DOI 10.1016/j.ins.2021.05.081
Indigenous content off
Field of Research 01 Mathematical Sciences
08 Information and Computing Sciences
09 Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30153030

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 16 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 05 Jul 2021, 11:36:45 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.