Fayyad U, Piatetsky-Shapiro G, Smyth P. From Data Mining to Knowledge Discovery in Databases, AI Magazine, vol.17, pp. 37-24, 1996.10.1145/240455.240463
Langley P. Selection of relevant features in machine learning, Proc of the AAAI Fall Symposium on Relevance, Menlo Park, pp.140-144, 1994.10.21236/ADA292575
Song Q, Ni J, Wang G. A fast clustering-based feature subset selection algorithm for highdimensional data, Knowledge and Data Engineering, IEEE Transactions on, vol.25, no.1, pp.1-14, 2013.10.1109/TKDE.2011.181
Lopez M I, Luna J M, Romero C, et al. Classification via Clustering for Predicting Final Marks Based on Student Participation in Forums, 5th International Conference on Educational Data Mining, pp. 148-151, 2012.
Kira K, Rendell L. A practical approach to feature selection, Proc of the 9th International Conference on Machine Learning, pp. 249-256, 1992.10.1016/B978-1-55860-247-2.50037-1
Dash M, Liu H. Consistency-based search in feature selection, Artificial Intelligence, vol. 151, no.1-2, pp. 155-176, 2003.10.1016/S0004-3702(03)00079-1
Wei H-L, Billings S A. Feature Subset Selection and Ranking for Data Dimensionality Reduction, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, no1. 162-166, 2007.10.1109/TPAMI.2007.25060717108391
Yin L, Ge Y, Xiao K, et al. Feature selection for high-dimensional imbalanced data, Neurocomputing, vol. 105, pp. 3-11, 2013.10.1016/j.neucom.2012.04.039
Peng H, Long F, Ding C. Feature Selection Based on Mutual Information: Criteria of MaxDependency, Max-Relevance, and Min-Redundancy, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, no.8, pp. 1226-1238, 2005.
Foithong S, Pinngern O, Attachoo B. Feature subset selection wrapper based on mutual information and rough sets, Expert Systems with Applications, vol.39, no.1, pp. 574-584, 2012.10.1016/j.eswa.2011.07.048
Guyon I, Weston J, Barnhill S, et al. Gene selection for cancer classification using support vector machines, Machine Learning, vol.46, no.1-3, pp.389-422, 2002.10.1023/A:1012487302797
Suzuki T, Sugiyama M. Sufficient dimension reduction via squared-loss mutual information estimation, Neural computation, vol.25, no.3, pp. 725-758, 2013.10.1162/NECO_a_0040723272920
Das S. Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection, Proc of the 18th International Conference on Machine Learning, San Francisco, CA, USA, pp. 74-81, 2001.
Li G-Z, Meng H-H, Lu W-C, et al. Asymmetric bagging and feature selection for activities prediction of drug molecules, BMC Bioinformatics, vol.9, no.S6, pp. 7-11, 2008.10.1186/1471-2105-9-S6-S7242344818541060
Huang D, Chow T W S. Effective feature selection scheme using mutual information, Neurocomputing, vol.63, pp. 325-343, 2005.10.1016/j.neucom.2004.01.194
Jain A K, Duin R P W, Mao J. Statistical Pattern Recognition: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, no.1, pp. 4 – 37, 2000.10.1109/34.824819
N. K. Suryadevara and S. C. Mukhopadhyay, “Determining Wellness Through An Ambient Assisted Living Environment”, IEEE Intelligent Systems, May/June 2014, pp. 30-37.10.1109/MIS.2014.16
Foithong S, Pinngern O, Attachoo B. Feature subset selection wrapper based on mutual information and rough sets, Expert Systems with Applications, vol.39, no.1, pp. 574-584, 2012.10.1016/j.eswa.2011.07.048
N. K. Suryadevara, S. C. Mukhopadhyay, R.Wang, R.K. Rayudu and Y. M. Huang, Reliable Measurement of Wireless Sensor Network Data for Forecasting Wellness of Elderly at Smart Home, Proceedings of IEEE I2MTC 2013 conference, IEEE Catalog number CFP13IMT-CDR, ISBN 978-14673-4622-1, May 6-9, 2013, Minneapolis, USA, pp. 16-21.10.1109/I2MTC.2013.6555372
Ang K K, Chin Z Y, Zhang H, et al. Mutual information-based selection of optimal spatial–temporal patterns for single-trial EEG-based BCIs, Pattern Recognition, vol.45, no.6, pp. 2137-2144, 2012.
A. Gaddam, S.C. Mukhopadhyay and G. Sen Gupta, Necessity of a Bed Sensor in a Smart Digital Home to Care for Elder-people, Proceedings of the 2008 IEEE Sensors conference, Lecce, Italy, October 26-28, 2008, page 1340-1343.10.1109/ICSENS.2008.4716693
Novovicova J, Somol P, Haindl M, et al. Conditional Mutual Information Based Feature Selection for Classification Task, Proc of the 12th Iberoamericann Congress on Pattern Recognition, pp. 417-426, 2007.10.1007/978-3-540-76725-1_44
N.K. Suryadevara, S.C. Mukhopadhyay, R. Wang, R.K. Rayudu, Forecasting the behavior of an elderly using wireless sensors data in a smart home, Engineering Applications of Artificial Intelligence, Volume 26, Issue 10, November 2013, Pages 2641-2652, ISSN 0952-1976, http://dx.doi.org/10.1016/j.engappai.2013.08.004.10.1016/j.engappai.2013.08.004
Daode Zhang et al., Research on Chip Defect Extraction based on Image-Matching, International Journal on Smart Sensing and Intelligent Systems, vol. 7, no. 1, pp.321 – 336, 2014.10.21307/ijssis-2017-658
N.K.Suryadevara, A. Gaddam, R.K.Rayudu and S.C. Mukhopadhyay, “Wireless Sensors Network based safe Home to care Elderly People: Behaviour Detection”, Sens. Actuators A: Phys. (2012), doi:10.1016/j.sna.2012.03.020, Volume 186, 2012, pp. 277 – 283.10.1016/j.sna.2012.03.020
Yanmin LUO, Peizhong LIU and Minghong LIAO, An Artificial Immune Network Clustering Algorithm for Mangroves Remote Sensing Iamge,International Journal on Smart Sensing and Intelligent Systems, vol. 7, no. 1, pp. 116 – 134, 2014.10.21307/ijssis-2017-648