Data Preparation & Mining

This book will cover all the topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoenders. The focus will be on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints...

The goal of this book is to understand the contributions in concrete areas such as framework efficiency variability factors and query variability factors to overall retrieval variability. This book explores the advances in information retrieval techniques dealing with problem formulations and soluti..

Edited by two of the leading experts in the field, this book provides a comprehensive reference book on feature engineering. The book provides a description of problems and applications for feature engineering, as well as its techniques, principles, issues, and challenges...

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation ..

This book provides a comprehensive introduction to the use of graph analysis in the study of social media and digital media. It covers the following topics: graphs in social media, graph theory, algebraic analysis of graphs, graph clustering, diffusion in social media, label propagation in graphs, g..

Supplying a comprehensive overview of healthcare analytics research, Healthcare Data Analytics provides an understanding of the analytical techniques currently available to solve healthcare problems. The book details novel techniques for acquiring, handling, retrieving, and making best use of health..

Integrating ideas from the fields of systems science and knowledge science, this book shows how to create and justify various pieces of knowledge systemically. Through case studies of technology archiving, academic research evaluation, demand forecasting of perishable foods, and other real-world con..

This book explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to understand and implement. Sharing insights from international KDDM experts, it presents powerful strategies, models, and techniques relevant to the different stages of the KDDM pro..

Harnessing the power of technology is one of the key measures of effective leadership. Leadership Strategies in the Age of Big Data, Algorithms, and Analytics will help leaders think and act like strategists to maintain a leading-edge competitive advantage. Written by a leading expert in the field, ..

The first book to focus on logo recognition, this text presents a new logo recognition system based on line pattern features. To achieve the desired accuracy and efficiency, the system employs a conceptually simple three-stage hierarchy that includes polygonal approximation, indexing, and matching. ..

This book is a combination of two research fields: data mining and multimedia.  It investigates various techniques related to mining multimedia documents based on text, image and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduates, re..

This book supplies an unprecedented look at the latest research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications. Focusing on key networking iss..