Hyper-heuristic salp swarm optimization of multi-kernel support vector machines for big data classification

[1]  M. Sheela,et al.  Hybrid PSO–SVM algorithm for Covid-19 screening and quantification , 2022, International Journal of Information Technology.

[2]  Mansoor Alghamdi,et al.  Magnetic Force Classifier: A Novel Method for Big Data Classification , 2022, IEEE Access.

[3]  Issa Ali,et al.  Population and Global Search Improved Squirrel Search Algorithm for Feature Selection in Big Data Classification , 2021, International Journal of Intelligent Engineering and Systems.

[4]  Pankaj Rahi,et al.  Air quality monitoring for Smart eHealth system using firefly optimization and support vector machine , 2021, International Journal of Information Technology.

[5]  Juan Humberto Sossa Azuela,et al.  Hybrid neural networks for big data classification , 2020, Neurocomputing.

[6]  Arepalli Peda Gopi,et al.  Classification of tweets data based on polarity using improved RBF kernel of SVM , 2020, International Journal of Information Technology.

[7]  El-Sayed M. El-kenawy,et al.  WOA + BRNN: An imbalanced big data classification framework using Whale optimization and deep neural network , 2019, Soft Comput..

[8]  N. Srinivasu,et al.  FCNB: Fuzzy Correlative Naive Bayes Classifier with MapReduce Framework for Big Data Classification , 2018, J. Intell. Syst..

[9]  R. Vijaya kumar,et al.  Multilinear Principal Component Analysis with SVM for Disease Diagnosis on Big Data , 2019, IETE Journal of Research.

[10]  Kuldeep Singh,et al.  Support vector machine classifier based detection of fungal rust disease in Pea Plant (Pisam sativam) , 2018, International Journal of Information Technology.

[11]  Seema Shah,et al.  A Review of Machine Learning and Deep Learning Applications , 2018, 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA).

[12]  Bingjun Sun,et al.  Lossless Pruned Naive Bayes for Big Data Classifications , 2018, Big Data Res..

[13]  Laurence T. Yang,et al.  A survey on deep learning for big data , 2018, Inf. Fusion.

[14]  Hossam Faris,et al.  Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems , 2017, Adv. Eng. Softw..

[15]  Jingjing Tang,et al.  A multi-kernel framework with nonparallel support vector machine , 2017, Neurocomputing.

[16]  Qionghai Dai,et al.  A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification , 2017, IEEE Transactions on Fuzzy Systems.

[17]  Matthias Jurisch,et al.  Ontology-Based Big Data Management , 2017, Syst..

[18]  Weiwei Lin,et al.  An Ensemble Random Forest Algorithm for Insurance Big Data Analysis , 2017, IEEE Access.

[19]  Athanasios V. Vasilakos,et al.  Machine learning on big data: Opportunities and challenges , 2017, Neurocomputing.

[20]  C. Krishna Mohan,et al.  DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data , 2017, IEEE Transactions on Big Data.

[21]  S. R,et al.  Data Mining with Big Data , 2017, 2017 11th International Conference on Intelligent Systems and Control (ISCO).

[22]  Shichao Zhang,et al.  Efficient kNN classification algorithm for big data , 2016, Neurocomputing.

[23]  Shan Suthaharan,et al.  Machine Learning Models and Algorithms for Big Data Classification , 2016 .

[24]  Sonali Agarwal,et al.  A Map Reduce based Support Vector Machine for Big Data Classification , 2015 .

[25]  Aníbal R. Figueiras-Vidal,et al.  A new boosting design of Support Vector Machine classifiers , 2015, Inf. Fusion.

[26]  Himansu Sekhar Behera,et al.  A Comprehensive Survey on Support Vector Machine in Data Mining Tasks: Applications & Challenges , 2015 .

[27]  Zhiqiong Wang,et al.  Elastic extreme learning machine for big data classification , 2015, Neurocomputing.

[28]  Xue-wen Chen,et al.  Big Data Deep Learning: Challenges and Perspectives , 2014, IEEE Access.

[29]  Shan Suthaharan,et al.  Big data classification: problems and challenges in network intrusion prediction with machine learning , 2014, PERV.

[30]  Han Liu,et al.  Challenges of Big Data Analysis. , 2013, National science review.

[31]  V. Marx Biology: The big challenges of big data , 2013, Nature.

[32]  Samuel Madden,et al.  From Databases to Big Data , 2012, IEEE Internet Comput..

[33]  Graham Kendall,et al.  A Classification of Hyper-heuristic Approaches , 2010 .