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On recognizing abnormal human behaviours by data stream mining with misclassified recalls
Conference paper
26th International World Wide Web Conference 2017, WWW 2017 Companion
Authors:
Fong S.
;
Hu S.
;
Song W.
;
Cho K.
;
Wong R.K.
;
Mohammed S.
Favorite
|
View/Download:10/0
|
TC[WOS]:
0
TC[Scopus]:
3
|
Submit date:2019/02/13
Classification
Data stream mining
Human activity recognition
Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall
Journal article
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2018,Volume: 9,Issue: 4,Page: 1197-1221
Authors:
Fong, Simon
;
Li, Jiaxue
;
Song, Wei
;
Tian, Yifei
;
Wong, Raymond K.
;
Dey, Nilanjan
Favorite
|
View/Download:44/0
|
TC[WOS]:
7
TC[Scopus]:
28
|
Submit date:2018/10/30
IoT smart home
Energy prediction
Data stream mining
Classification
Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest
Journal article
INTERNET OF THINGS AND BIG DATA ANALYTICS TOWARD NEXT-GENERATION INTELLIGENCE, 2018,Volume: 30,Page: 483-502
Authors:
Fong, Simon
;
Song, Wei
;
Wong, Raymond
;
Bhatt, Chintan
;
Korzun, Dmitry
;
Dey, N
;
Hassanien, AE
;
Bhatt, C
;
Ashour, AS
;
Satapathy, SC
Favorite
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View/Download:303/0
|
TC[WOS]:
2
TC[Scopus]:
0
|
Submit date:2018/10/30
Data stream mining
Decision trees
Meta-classifiers
Big data
Semantic Inference on Clinical Documents: Combining Machine Learning Algorithms with an Inference Engine for Effective Clinical Diagnosis and Treatment
Journal article
IEEE Access, 2017,Volume: 5,Page: 3529-3546
Authors:
Shuo Yang
;
Ran Wei
;
Jingzhi Guo
;
Lida Xu
Favorite
|
View/Download:16/0
|
TC[WOS]:
5
TC[Scopus]:
13
|
Submit date:2019/02/13
Big Data
Case-based Reasoning
Clinical Diagnosis
Data Stream Mining
Decision Tree
Disease Detection
Electronic Health Record
Medical Record
Semantic Integration
Improvised Methods for Tackling Big Data Stream Mining Challenges: Case Study of Human Activity Recognition
Journal article
JOURNAL OF SUPERCOMPUTING, 2016,Volume: 72,Issue: 10,Page: 3927-3959
Authors:
Fong, Simon
;
Liu, Kexing
;
Cho, Kyungeun
;
Wong, Raymond
;
Mohammed, Sabah
;
Fiaidhi, Jinan
Favorite
|
View/Download:27/0
|
TC[WOS]:
1
TC[Scopus]:
5
|
Submit date:2019/05/15
Data Stream Mining
Big Data
Very Fast Decision Tree
Resampling
Sensor Data
Atmospheric pattern recognition of human activities on ubiquitous sensor network using data stream mining algorithms
Journal article
International Journal of Sensor Networks, 2016,Volume: 20,Issue: 3,Page: 147-162
Authors:
Hang Yang
;
Simon Fong
;
Kyungeun Cho
;
Junbo Wang
Favorite
|
View/Download:14/0
|
TC[WOS]:
4
TC[Scopus]:
5
|
Submit date:2019/02/13
Atmospheric Pattern Recognition
Data Stream Mining
Ubiquitous Sensor Network
Real-time stream mining electric power consumption data using hoeffding tree with shadow features
Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Authors:
Fong S.
;
Yuen M.
;
Wong R.K.
;
Song W.
;
Cho K.
Favorite
|
View/Download:12/0
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2019/02/13
Data stream mining
Electric power consumption prediction
Shadow features
Diabetes therapy prognosis through data stream mining methods and techniques
Conference paper
Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016
Authors:
Wang D.
;
Fong S.
;
Cho S.
;
Cho K.
;
Park Y.W.
Favorite
|
View/Download:13/0
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2019/02/13
Classification algorithms
Data stream mining
Diabetes therapy
Insulin mellitus
Real-time analysis of vital signs using incremental data stream mining techniques with a case study of ARDS under ICU treatment
Journal article
Journal of Medical Imaging and Health Informatics, 2015,Volume: 5,Issue: 5,Page: 1108-1115
Authors:
Fong, Simon
;
Siu, Shirley W. I.
;
Zhou, Suzy
;
Chan, Jonathan H.
;
Mohammed, Sabah
;
Fiaidhi, Jinan
Favorite
|
View/Download:13/0
|
TC[WOS]:
1
TC[Scopus]:
2
|
Submit date:2019/02/13
Data Stream Mining
Naïve Bayes
Optimized Very Fast Decision Tree
Support Vector Machine
Vital Signs Analysis
Countering the concept-drift problems in big data by an incrementally optimized stream mining model
Journal article
Journal of Systems and Software, 2015,Volume: 102,Page: 158-166
Authors:
Hang Yang
;
Simon Fong
Favorite
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View/Download:14/0
|
TC[WOS]:
12
TC[Scopus]:
16
|
Submit date:2019/02/13
Concept Drift
Data Stream Mining
Very Fast Decision Tree