| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An efficient approximation to the K-means clustering for massive data
|
Capó, Marco
|
|
2017
|
117 |
C |
p. 56-69
14 p.
|
artikel
|
| 2 |
A parallel algorithm for Bayesian network structure learning from large data sets
|
Madsen, Anders L.
|
|
2017
|
117 |
C |
p. 46-55
10 p.
|
artikel
|
| 3 |
Centralized vs. distributed feature selection methods based on data complexity measures
|
Morán-Fernández, L.
|
|
2017
|
117 |
C |
p. 27-45
19 p.
|
artikel
|
| 4 |
CoFIM: A community-based framework for influence maximization on large-scale networks
|
Shang, Jiaxing
|
|
2017
|
117 |
C |
p. 88-100
13 p.
|
artikel
|
| 5 |
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders
|
Luaces, Oscar
|
|
2017
|
117 |
C |
p. 79-87
9 p.
|
artikel
|
| 6 |
Editorial Board
|
|
|
2017
|
117 |
C |
p. IFC-
1 p.
|
artikel
|
| 7 |
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data
|
Maillo, Jesus
|
|
2017
|
117 |
C |
p. 3-15
13 p.
|
artikel
|
| 8 |
Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark
|
Arias, Jacinto
|
|
2017
|
117 |
C |
p. 16-26
11 p.
|
artikel
|
| 9 |
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution
|
Pulgar-Rubio, F.
|
|
2017
|
117 |
C |
p. 70-78
9 p.
|
artikel
|
| 10 |
Social network pruning for building optimal social network: A user perspective
|
N., Sumith
|
|
2017
|
117 |
C |
p. 101-110
10 p.
|
artikel
|
| 11 |
Volume, variety and velocity in Data Science
|
Alonso-Betanzos, Amparo
|
|
2017
|
117 |
C |
p. 1-2
2 p.
|
artikel
|
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