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Self-Adaptive Pre-Processing Methodology for Big Data Stream Mining in Internet of Things Environmental Sensor Monitoring Journal article
SYMMETRY-BASEL, 2017,Volume: 9,Issue: 10
Authors:  Lan, Kun;  Fong, Simon;  Song, Wei;  Vasilakos, Athanasios V.;  Millham, Richard C.
Favorite  |  View/Download:7/0  |  Submit date:2018/10/30
data stream pre-processing  self-adaptive segmentation  clustering-based particle swarm optimization (CPSO)  Internet of Things (IoT) datasets  
Self-adaptive pre-processing methodology for big data stream mining in internet of things environmental sensor monitoring Journal article
Symmetry, 2017,Volume: 9,Issue: 10
Authors:  Lan K.;  Fong S.;  Song W.;  Vasilakos A.V.;  Millham R.C.
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Clustering-based particle swarm optimization (CPSO)  Data stream pre-processing  Internet of Things (IoT) datasets  Self-adaptive segmentation  
Novel structures for counting frequent items in time decayed streams Journal article
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2017,Volume: 20,Issue: 5,Page: 1111-1133
Authors:  Wu, Shanshan;  Lin, Huaizhong;  Hou, Leong U.;  Gao, Yunjun;  Lu, Dongming
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Frequent Item  Data Stream  Time Decay Model  Data Structure  
RLC: ranking lag correlations with flexible sliding windows in data streams Journal article
PATTERN ANALYSIS AND APPLICATIONS, 2017,Volume: 20,Issue: 2,Page: 601-611
Authors:  Wu, Shanshan;  Lin, Huaizhong;  Wang, Wenxiang;  Lu, Dongming;  U, Leong Hou;  Gao, Yunjun
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Lag correlation  Flexible sliding windows  Data streams  
Fuzzy clustering based traffic pattern identification Conference paper
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, Vancouver, CANADA, JUL 24-29, 2016
Authors:  Li T.;  Chen L.;  Chen C.L.P.
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Finding frequent items in time decayed data streams Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Suzhou, China, 2016
Authors:  Wu S.;  Lin H.;  U L.H.;  Gao Y.;  Lu D.
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Data Stream Hash Function  Slide Window Model  Streaming Model  Frequent Item  
Comparative study of incremental learning algorithms in multidimensional outlier detection on data stream Book chapter
出自: Improving Knowledge Discovery through the Integration of Data Mining Techniques:IGI Global, 2015, 页码: 54-73
Authors:  Simon Fong;  Dong Han;  Athanasios V. Vasilakos
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A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis Journal article
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015,Volume: 12,Issue: 2,Page: 348-359
Authors:  Lina Yang;  Yuan Yan Tang;  Yang Lu;  Huiwu Luo
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Discrete Wavelet Transform  Fractal Dimension  Higuchi's Algorithm  Protein Sequence Similarity  Sliding Window  
Optimized Trajectory Recovery of On-Road Vehicles from MonocularVideos with Multiple Constraints Journal article
IEEJ Transactions on Electrical and Electronic Engineering, 2014,Volume: 9,Issue: 2,Page: 200-206
Authors:  Zheng, Yali;  Cheng, Hong;  Tang, Yuan Yan;  Fang, Bin
Favorite  |  View/Download:3/0  |  Submit date:2018/11/06
Structure From Motion  Trajectory Recovery  Sliding Window  Optimal  
Incremental Methods for Detecting Outliers from Multivariate Data Stream Conference paper
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2014, Innsbruck, Austria, February 17 – 19, 2014
Authors:  Simon Fong;  Zhicong Luo;  Bee Wah Yap;  Suash Deb
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Data Stream Mining  Incremental Processing  Outlier Detection