Machine Learning, Data Mining for IoT-Based Systems

Hao Sun, Raimondo Betti, A Hybrid Optimization Algorithm with Bayesian Inference for Probabilistic Model Updating Computer-Aided Civil and Infrastructure Engineering. ,vol. 30, pp. 602- 619 ,(2015) , 10.1111/MICE.12142

M. Dzbor, A. Stutt, E. Motta, T. Collins, Representations for semantic learning webs: Semantic Web technology in learning support Journal of Computer Assisted Learning. ,vol. 23, pp. 69- 82 ,(2007) , 10.1111/J.1365-2729.2007.00202.X

Dewei Wang, Christopher S. McMahan, Colin M. Gallagher, A general regression framework for group testing data, which incorporates pool dilution effects. Statistics in Medicine. ,vol. 34, pp. 3606- 3621 ,(2015) , 10.1002/SIM.6578

Guorong Li, Shuqiang Jiang, Weigang Zhang, Junbiao Pang, Qingming Huang, Online web video topic detection and tracking with semi-supervised learning Multimedia Systems. ,vol. 22, pp. 115- 125 ,(2016) , 10.1007/S00530-014-0402-0

Nikhilesh Waoo, Ramgopal Kashyap, Astha Jaiswal, DNA Nano array analysis using hierarchical quality threshold clustering ieee international conference on information management and engineering. pp. 81- 85 ,(2010) , 10.1109/ICIME.2010.5477579

Fabio Tango, Luca Minin, Francesco Tesauri, Roberto Montanari, Field tests and machine learning approaches for refining algorithms and correlations of driver’s model parameters Applied Ergonomics. ,vol. 41, pp. 211- 224 ,(2010) , 10.1016/J.APERGO.2009.01.010

Gordon E. Mawdsley, Albert H. Tyson, Chris L. Peressotti, Roberta A. Jong, Martin J. Yaffe, Accurate estimation of compressed breast thickness in mammography Medical Physics. ,vol. 36, pp. 577- 586 ,(2009) , 10.1118/1.3065068

Daniel Ott, Frank Houdek, Automatic Requirement Classification: Tackling Inconsistencies Between Requirements and Regulations International Journal of Semantic Computing. ,vol. 08, pp. 47- 65 ,(2014) , 10.1142/S1793351X14500020

Giles Huby, James Cockram, Mark Fleming, Through-life Data Exploitation to Reduce Downtime and Costs Procedia CIRP. ,vol. 11, pp. 50- 55 ,(2013) , 10.1016/J.PROCIR.2013.07.070

Robert P. Schumaker, Machine learning the harness track: Crowdsourcing and varying race history decision support systems. ,vol. 54, pp. 1370- 1379 ,(2013) , 10.1016/J.DSS.2012.12.013