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ORCIDKnowledge Based Systems, Volume 153
Volume 153, August 2018
- Chun-Xia Zhang
, Jiang-She Zhang, Qing-Yan Yin:
Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models. 1-11 - Manuel Acosta, Stratis Kanarachos:
Teaching a vehicle to autonomously drift: A data-based approach using Neural Networks. 12-28 - Yanfeng Shu:
A practical approach to modelling and validating integrity constraints in the Semantic Web. 29-39 - Lili Yin, Huangang Wang, Wenhui Fan:
Active learning based support vector data description method for robust novelty detection. 40-52 - Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang:
Local neighborhood rough set. 53-64 - Huchang Liao, Xingli Wu, Xuedong Liang, Jian-Bo Yang, Dong-Ling Xu, Francisco Herrera:
A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making. 65-77 - Jordi Soria-Comas, Josep Domingo-Ferrer:
Differentially private data publishing via optimal univariate microaggregation and record perturbation. 78-90 - Ala' M. Al-Zoubi, Hossam Faris, Ja'far Alqatawna, Mohammad A. Hassonah:
Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts. 91-104 - Jie Song, Zhongyi Ma, Yichuan Zhang, Tiantian Li, Ge Yu:
Rim: A reusable iterative model for big data. 105-116 - Xiaobin Zhi, Huafang Yan, Jiulun Fan, Supei Zheng:
Efficient discriminative clustering via QR decomposition-based Linear Discriminant Analysis. 117-132 - Pablo García-Sánchez, Alberto Paolo Tonda, Antonio Mora García, Giovanni Squillero, Juan Julián Merelo Guervós:
Automated playtesting in collectible card games using evolutionary algorithms: A case study in hearthstone. 133-146 - Nir Nissim, Yuval Lapidot, Aviad Cohen, Yuval Elovici:
Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining. 147-175 - Diana Martín, María Martínez-Ballesteros, Diego García-Gil, Jesús Alcalá-Fdez, Francisco Herrera, José Cristóbal Riquelme Santos:
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems. 176-192
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