| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A general framework for never-ending learning from time series streams
|
Chen, Yanping
|
|
2014
|
29 |
6 |
p. 1622-1664
|
artikel
|
| 2 |
A general framework for predictive tensor modeling with domain knowledge
|
Zhu, Yada
|
|
2014
|
29 |
6 |
p. 1709-1732
|
artikel
|
| 3 |
Cluster validity functions for categorical data: a solution-space perspective
|
Bai, Liang
|
|
2014
|
29 |
6 |
p. 1560-1597
|
artikel
|
| 4 |
Discrimination- and privacy-aware patterns
|
Hajian, Sara
|
|
2014
|
29 |
6 |
p. 1733-1782
|
artikel
|
| 5 |
Ensemble methods for uplift modeling
|
Sołtys, Michał
|
|
2014
|
29 |
6 |
p. 1531-1559
|
artikel
|
| 6 |
Learning sequential classifiers from long and noisy discrete-event sequences efficiently
|
Dafé, Gessé
|
|
2014
|
29 |
6 |
p. 1685-1708
|
artikel
|
| 7 |
Multi-relational pattern mining over data streams
|
Silva, Andreia
|
|
2014
|
29 |
6 |
p. 1783-1814
|
artikel
|
| 8 |
Properties of the sample estimators used for statistical normalization of feature vectors
|
Prostov, Mikhail Y.
|
|
2014
|
29 |
6 |
p. 1815-1837
|
artikel
|
| 9 |
Quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization
|
Huang, Yakui
|
|
2014
|
29 |
6 |
p. 1665-1684
|
artikel
|
| 10 |
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences
|
Lijffijt, Jefrey
|
|
2014
|
29 |
6 |
p. 1838-1864
|
artikel
|
| 11 |
The BOSS is concerned with time series classification in the presence of noise
|
Schäfer, Patrick
|
|
2014
|
29 |
6 |
p. 1505-1530
|
artikel
|
| 12 |
Weakly supervised nonnegative matrix factorization for user-driven clustering
|
Choo, Jaegul
|
|
2014
|
29 |
6 |
p. 1598-1621
|
artikel
|
Tijdschrift beschrijving