Prof. Dr. Teh Ying Wah
Prof. Dr. Teh Ying Wah
Professor of Data Mining, Faculty of Computer Science and IT, University of Malaya
Verified email at - Homepage
Cited by
Cited by
Time-series clustering–a decade review
S Aghabozorgi, AS Shirkhorshidi, TY Wah
Information systems 53, 16-38, 2015
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
HF Nweke, YW Teh, MA Al-Garadi, UR Alo
Expert Systems with Applications 105, 233-261, 2018
Text mining for market prediction: A systematic review
AK Nassirtoussi, S Aghabozorgi, TY Wah, DCL Ngo
Expert Systems with Applications 41 (16), 7653-7670, 2014
A comparison study on similarity and dissimilarity measures in clustering continuous data
AS Shirkhorshidi, S Aghabozorgi, TY Wah
PloS one 10 (12), e0144059, 2015
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
HF Nweke, YW Teh, G Mujtaba, MA Al-Garadi
Information Fusion 46, 147-170, 2019
Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment
AK Nassirtoussi, S Aghabozorgi, TY Wah, DCL Ngo
Expert Systems with Applications 42 (1), 306-324, 2015
Big data reduction framework for value creation in sustainable enterprises
MH ur Rehman, V Chang, A Batool, TY Wah
International journal of information management 36 (6), 917-928, 2016
Big data clustering: a review
AS Shirkhorshidi, S Aghabozorgi, TY Wah, T Herawan
Computational Science and Its Applications–ICCSA 2014: 14th International …, 2014
On density-based data streams clustering algorithms: A survey
A Amini, TY Wah, H Saboohi
Journal of Computer Science and Technology 29, 116-141, 2014
Big data reduction methods: a survey
MH ur Rehman, CS Liew, A Abbas, PP Jayaraman, TY Wah, SU Khan
Data Science and Engineering 1, 265-284, 2016
Stock market co-movement assessment using a three-phase clustering method
YWT Saeed Aghabozorgi
Expert Systems with Applications 41 (4), 1301-1314, 2014
D-FICCA: A density-based fuzzy imperialist competitive clustering algorithm for intrusion detection in wireless sensor networks
S Shamshirband, A Amini, NB Anuar, MLM Kiah, YW Teh, S Furnell
Measurement 55, 212-226, 2014
Mining personal data using smartphones and wearable devices: A survey
CS Liew, TY Wah, J Shuja, B Daghighi
Sensors 15 (2), 4430-4469, 2015
Credit Scoring Models Using Soft Computing Methods: A Survey.
A Lahsasna, RN Ainon, YW Teh
Int. Arab J. Inf. Technol. 7 (2), 115-123, 2010
A study of density-grid based clustering algorithms on data streams
A Amini, TY Wah, MR Saybani, SRAS Yazdi
2011 Eighth International Conference on Fuzzy Systems and Knowledge …, 2011
A review of subsequence time series clustering
S Zolhavarieh, S Aghabozorgi, YW Teh
The Scientific World Journal 2014, 2014
Iterative big data clustering algorithms: a review
A Mohebi, S Aghabozorgi, T Ying Wah, T Herawan, R Yahyapour
Software: Practice and Experience 46 (1), 107-129, 2016
MuDi-Stream: A multi density clustering algorithm for evolving data stream
A Amini, H Saboohi, T Herawan, TY Wah
Journal of Network and Computer Applications 59, 370-385, 2016
Text-independent speaker identification through feature fusion and deep neural network
R Jahangir, YW Teh, NA Memon, G Mujtaba, M Zareei, U Ishtiaq, ...
IEEE Access 8, 32187-32202, 2020
Automated diagnosis of coronary artery disease: a review and workflow
TY Wah, R Gopal Raj, U Iqbal
Cardiology research and practice 2018, 2018
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