SAH Analytic Capabilities

SAH has the statistical package R embedded, but can be used with any statistical package. SAH has text mining, time series, graph anaylsis capabilities and has interoperability with major cloud provider tools.

Classification Analysis

CART
C4.5 Decision Tree Analysis
CHAID Decision Tree Analysis
K Nearest Neighbour
Logisitic Regression Elastic Net
Back-Propagation (Neural Network)
Naive Bayes
Support Vector Machine
Random Forests
Confusion Matrix
Area Under Curve (AUC)
Parameter Selection/Model Evaluation

Regression

Multiple Linear Regression Elastic Net
Polynomial Regression
Exponential Regression
Bi-Variate Geometric Regression
Bi-Variate Logarithmic Regression

Cluster Analysis

ABC Classification
DBSCAN
K-Means
K-Medoid Clustering
K-Medians
Kohonen Self Organized Maps
Agglomerate Hierarchical
Affinity Propagation
Latent Dirichlet Allocation (LDA)
Gaussian Mixture Model (GMM)
Cluster Assignment

Time Series Analysis

Single/Double/Triple Exponential Smoothing
Forecast Smoothing
ARIMA/Seasonal ARIMA
Brown Exponential Smoothing
Croston Method
Forecast Accuracy Measure
Linear Regression with Damped Trend and Seasonal Adjust
Test for White Noise, Trend, Seasonality

Association Analysis

Apriori
Apriori Lite
FP-Growth
KORD - Top K Rule Discovery

Probability Distribution

Distribution Fit/Weibull analysis
Cumulative Distribution Function
Quantile Function
Kaplan-Meier Survival Analysis

Outlier Detection

Inter-Quartile Range Test (Turkey's Test)
Variance Test
Anomaly Detection
Grubbs Outlier Test

Link Prediction

Common Neighbors
Jaccard's Coefficient
Adamic/Adar
Katzβ

Statistic Functions

Mean, Median, Variance, Standard Deviation, Kurtosis, Skewness
Covariance Matrix
Pearson Correlations Matrix
Chi-squared Tests:
- Test of Quality of Fit
- Test of Independence
F-test (variance of equal test)

Data Preparation

Sampling
Binning
Scaling
Partitioning
Principal Component Analysis (PCA)/PCA Projection

Other

Weighted Scores Table
Substitute Missing Values