Situation-aware adaptive visualization for sensory data stream mining Haghighi, Pari Delir, Gillick, Brett, Krishnaswamy, Shonali, Gaber, Mohamed Medhat and Zaslavsky, Arkady 2010, Situation-aware adaptive visualization for sensory data stream mining, in Sensor-KDD 2008 : Proceedings of the 2nd International Workshop on Knowledge Discovery from Sensor Data 2008, Springer, Berlin, Germany, pp. 43-58, doi: 10.1007/978-3-642-12519-5_3. Attached Files Name Description MIMEType Size Downloads Title Situation-aware adaptive visualization for sensory data stream mining Author(s) Haghighi, Pari Delir Gillick, Brett Krishnaswamy, Shonali Gaber, Mohamed Medhat Zaslavsky, Arkady orcid.org/0000-0003-1990-5734 Conference name Knowledge Discovery from Sensor Data. International workshop (2nd : Las Vegas, Nev.) Conference location Las Vegas, Nev. Conference dates 2008/08/24 - 2008/08/27 Title of proceedings Sensor-KDD 2008 : Proceedings of the 2nd International Workshop on Knowledge Discovery from Sensor Data 2008 Editor(s) Gaber, M M Vatsavai, R R Omitaomu, O A Gama, J Chawla, N V Ganguly, A R Publication date 2010 Series Lecture Notes in Computer Science Start page 43 End page 58 Total pages 16 Publisher Springer Place of publication Berlin, Germany Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Theory & Methods Engineering, Electrical & Electronic Computer Science Engineering Data Stream Mining Fuzzy logic Context-aware Visualization INFORMATION ISBN 3642125182 9783642125188 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-642-12519-5_3 Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30125078 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 09 Jul 2019, 14:49:53 EST Wed, 10 Jul 2019, 05:02:22 EST Wed, 10 Jul 2019, 06:03:18 EST Fri, 04 Dec 2020, 08:41:42 EST Fri, 04 Dec 2020, 08:44:09 EST Fri, 04 Dec 2020, 08:44:54 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 22 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 09 Jul 2019, 14:49:53 EST

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