Abkürzungen#
Abkürzung |
Bedeutung |
---|---|
AIC |
Akitake Information Criterion |
ANOVA |
Analysis of Variance |
AR |
Auto-Regressive |
ARIMA |
Auto-Regressive Integrated Moving Average |
ARMA |
Auto-Regressive Moving Average |
AUC |
Area Under the Curve |
BIC |
Bayesian Information Criterion |
CERN |
Conseil Européen pour la Recherche Nucléaire |
CNN |
Convolutional Neural Network |
CSV |
Comma-Separated Values |
DBSCAN |
Density-Based Spatial Clustering of Application with Noise |
DNN |
Deep Neural Network |
EM |
Expectation Maximization |
FDR |
False Discovery Rate |
FNR |
False Negative Rate |
FOR |
False Omission Rate |
FPR |
False Positive Rate |
GAN |
Generative Adversarial Network |
HDFS |
Hadoop Distributed File System |
IDF |
Inverse Document Frequency |
IQR |
Interquartile Range |
JSON |
JavaScript Object Notation |
KDE |
Kernel Density Estimation |
LIDAR |
Light Detection and Ranging |
LSTM |
Long Short-Term Memory |
MA |
Moving Average |
MAD |
Median Absolute Deviation |
MAE |
Mean Absolute Error |
MCC |
Matthews Correlation Coefficient |
ML |
Machine Learning |
MLP |
Multilayer Perceptron |
MSE |
Mean Squared Error |
NOIR |
Nominal, Ordinal, Intervall, Rational |
NPV |
Negative Predictive Value |
NTFS |
New Technology File System |
OLS |
Ordinary Least Squares |
PCA |
Principal Components Analysis |
PPV |
Positive Predictive Value |
RBF |
Radiale Basisfunktion |
RDD |
Resilient Distributed Dataset |
RelU |
Rectified Linear Unit |
RNN |
Recurrent Neural Network |
ROC |
Receiver Operator Characteristic |
ROI |
Return on Investment |
SAN |
Storage Area Network |
SLINK |
Single Linkage |
SQL |
Structured Query Language |
SVM |
Support Vector Machine |
TF |
Term Frequency |
TF-IDF |
Term Frequency – Inverse Document Frequency |
TNR |
True Negative Rate |
TPR |
True Positive Rate |
UDF |
User-Defined Function |
WSL |
Windows Subsystem for Linux |
XML |
Extensible Markup Language |
YARN |
Yet Another Resource Negotiator |