Feature engineering plays a vital role in big data analytics. Machine learning and data
mining algorithms cannot work without data. Little can be achieved if there are few features …

There is broad interest in feature extraction, construction, and selection among practitioners
from statistics, pattern recognition, and data mining to machine learning. Data preprocessing …

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely
examined on its own. With this practical book, you'll learn techniques for extracting and …

A perfect guide to speed up the predicting power of machine learning algorithms Key
Features Design, discover, and create dynamic, efficient features for your machine learning …

This chapter introduces the reader to the various aspects of feature extraction covered in this
book. Section 1 reviews definitions and notations and proposes a unified view of the feature …

In order to improve the performance of any machine learning model, it is important to focus
more on the data itself instead of continuously developing new algorithms. This is exactly the …

This paper introduces concepts and algorithms of feature selection, surveys existing feature
selection algorithms for classification and clustering, groups and compares different …

The problem of extracting features from given data is of critical importance for successful
application of machine learning. Feature extraction, as usually understood, seeks an optimal …

The rapid advance of computer technologies in data processing, collection, and storage has
provided unparalleled opportunities to expand capabilities in production, services …

Water is the elixir of life. It is a vital component of human survival. Water should be purified
for better and healthy style life of all living and non-living things. The quality of water plays …