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ORCIDKnowledge Based Systems, Volume 117
Volume 117, February 2017
- Amparo Alonso-Betanzos, José A. Gámez, Francisco Herrera, José Miguel Puerta, José C. Riquelme:
Volume, variety and velocity in Data Science. 1-2 - Jesús Maillo
, Sergio Ramírez-Gallego, Isaac Triguero, Francisco Herrera:
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. 3-15 - Jacinto Arias, José A. Gámez, José Miguel Puerta:
Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark. 16-26 - Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Centralized vs. distributed feature selection methods based on data complexity measures. 27-45 - Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen:
A parallel algorithm for Bayesian network structure learning from large data sets. 46-55 - Marco Capó, Aritz Pérez, José Antonio Lozano:
An efficient approximation to the K-means clustering for massive data. 56-69 - Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, Pedro González, Cristóbal J. Carmona, María José del Jesus:
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution. 70-78 - Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde:
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders. 79-87 - Jiaxing Shang, Shangbo Zhou, Xin Li, Lianchen Liu, Hongchun Wu:
CoFIM: A community-based framework for influence maximization on large-scale networks. 88-100 - Sumith N., Annappa B., Swapan Bhattacharya:
Social network pruning for building optimal social network: A user perspective. 101-110
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