I. Introduction

II. Bayesian Networks

III. Statistical Descriptors of Variability and the Optimal Feature Selection

IV. Novel Approaches to the Period Finding

V. Beyond Unsupervised Clustering: Machine-Assisted Discovery

VI. Meta Classification: Optimal Combining of Classifiers and Contextual Knowledge

VII. Classification-Informed Automated Decision Making

VIII. Concluding Comments