Pari Delir Haghighi
Cited by
Cited by
Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings
PD Haghighi, F Burstein, A Zaslavsky, P Arbon
Decision Support Systems 54 (2), 1192-1204, 2013
Reasoning about context in uncertain pervasive computing environments
PD Haghighi, S Krishnaswamy, A Zaslavsky, MM Gaber
European Conference on Smart Sensing and Context, 112-125, 2008
CFinder: An intelligent key concept finder from text for ontology development
YB Kang, PD Haghighi, F Burstein
Expert Systems with Applications 41 (9), 4494-4504, 2014
Mobile data mining for intelligent healthcare support
P Delir Haghighi, A Zaslavsky, S Krishnaswamy, MM Gaber
hicss, 1-10, 2009
An evaluation of query languages for context-aware computing
PD Haghighi, A Zaslavsky, S Krishnaswamy
17th International Workshop on Database and Expert Systems Applications …, 2006
Open mobile miner: A toolkit for building situation-aware data mining applications
PD Haghighi, S Krishnaswamy, A Zaslavsky, MM Gaber, A Sinha, B Gillick
Journal of Organizational Computing and Electronic Commerce 23 (3), 224-248, 2013
Context-aware recruitment scheme for opportunistic mobile crowdsensing
A Hassani, PD Haghighi, PP Jayaraman
2015 IEEE 21st International Conference on Parallel and Distributed Systems …, 2015
An Evaluation of Data Stream Processing Systems for Data Driven Applications
J Samosir, M Indrawan-Santiago, PD Haghighi
Procedia Computer Science 80, 439-449, 2016
Context-aware adaptive data stream mining
PD Haghighi, A Zaslavsky, S Krishnaswamy, MM Gaber, S Loke
Intelligent Data Analysis 13 (3), 423-434, 2009
Healthcare 4.0: A review of frontiers in digital health
PP Jayaraman, ARM Forkan, A Morshed, P Delir Haghighi, YB Kang
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2019
Here-n-now: A framework for context-aware mobile crowdsensing
PP Jayaraman, A Sinha, W Sherchan, S Krishnaswamy, A Zaslavsky, ...
Proc. of the Tenth International Conference on Pervasive Computing, 2012
Open mobile miner: a toolkit for mobile data stream mining
S Krishnaswamy, M Gaber, M Harbach, C Hugues, A Sinha, B Gillick, ...
ACM KDD’09, 2009
TaxoFinder: A Graph-based Approach for Taxonomy Learning
YB Kang, PD Haghighi, F Burstein
IEEE Transactions on Knowledge and Data Engineering, 2015
Context-as-a-Service Platform: exchange and share context in an IoT ecosystem
A Hassani, A Medvedev, PD Haghighi, S Ling, M Indrawan-Santiago, ...
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
Investigating Subjective Experience and the Influence of Weather Among Individuals With Fibromyalgia: A Content Analysis of Twitter
P Delir Haghighi, YB Kang, R Buchbinder, F Burstein, S Whittle
JMIR Public Health and Surveillance 3 (1), 2017
An architecture for context-aware adaptive data stream mining
P Haghighi, M Gaber, S Krishnaswamy, A Zaslavsky
Proceedings of the International Workshop on Knowledge Discovery from …, 2007
Data ingestion and storage performance of IoT platforms: study of OpenIoT
A Medvedev, A Hassani, A Zaslavsky, PP Jayaraman, ...
International Workshop on Interoperability and Open-Source Solutions, 141-157, 2016
A graph-based hierarchical attention model for movement intention detection from EEG signals
D Zhang, L Yao, K Chen, S Wang, PD Haghighi, C Sullivan
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (11 …, 2019
A Crowd Monitoring Framework using Emotion Analysis of Social Media for Emergency Management in Mass Gatherings
MQ Ngo, PD Haghighi, F Burstein
26th Australasian Conference on Information Systems (ACIS), 2015
Ontology-based service-oriented architecture for emergency management in mass gatherings
PD Haghighi, H Al Taiar, F Burstein, P Arbon, S Krishnaswamy
2010 IEEE International Conference on Service-Oriented Computing and …, 2010
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