Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …

Fifty years have passed since the publication of the first regression tree algorithm. New
techniques have added capabilities that far surpass those of the early methods. Modern …

The purpose of this paper is to survey and assess the state-of-the-art in automatic target
recognition for synthetic aperture radar imagery (SAR-ATR). The aim is not to develop an …

Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining
through an easy to understand conceptual framework and immediately practice the concepts …

Sentiment analysis is a critical task of extracting subjective information from online text
documents. Ensemble learning can be employed to obtain more robust classification …

A decision tree is a predictive model that recursively partitions the covariate's space into
subspaces such that each subspace constitutes a basis for a different prediction function …

The effects of landslides have been exponentially increasing due to the rapid growth of
urbanization and global climate change. The information gained from predictive models and …

Link prediction systems have been largely adopted to recommend new friends in online
social networks using data about social interactions. With the soaring adoption of location …

Context Software defect prediction (SDP) plays an important role in allocating testing
resources reasonably, reducing testing costs, and ensuring software quality. However …

This book has been drafted based on my lectures and seminars from recent years for
postgraduate students at Auckland University of Technology (AUT), New Zealand. We have …