Editorial Board
Volume, variety and velocity in Data Science
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data
Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark
Centralized vs. distributed feature selection methods based on data complexity measures
A parallel algorithm for Bayesian network structure learning from large data sets
An efficient approximation to the K-means clustering for massive data
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders
CoFIM: A community-based framework for influence maximization on large-scale networks
Social network pruning for building optimal social network: A user perspective