Computer Science & Engineering

Data Mining and Knowledge Discovery

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Robust Quality: Powerful Integration of Data Science and Process Engineering

Rajesh Jugulum
August 08, 2018

After realizing the importance of data, organizations have begun to view data as a critical asset, being equally important as other assets such as people, capital, raw materials, and facilities. In order to ensure data are fit for the purpose, there is a need to have high quality levels of data....

Data-Driven Law: Data Analytics and the New Legal Services

Edward J. Walters
July 27, 2018

For increasingly data-savvy clients, lawyers can no longer give "it depends" answers rooted in anecdata. Clients insist that their lawyers justify their reasoning, and with more than a limited set of war stories. The considered judgment of an experienced lawyer is unquestionably valuable. However,...

Web Technology: Theory and Practice

Akshi Kumar
July 24, 2018

This book intends to expound the complete concept of Web in Theory, Web in Research and Web in Practice with the help of worked out examples for better understanding. Planned as a comprehensive reading for beginners and a reference for advanced learners, the book includes latest developments and...

Exploratory Data Analysis Using R

Ronald K. Pearson
May 29, 2018

Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to...

Analytics and Knowledge Management

Suliman Hawamdeh, Hsia-Ching Chang
May 16, 2018

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods,...

Big Data in the Arts and Humanities: Theory and Practice

Giovanni Schiuma, Daniela Carlucci
May 08, 2018

As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of...

Spectral Feature Selection for Data Mining

Zheng Alan Zhao, Huan Liu
April 18, 2018

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified...

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications

Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham
April 16, 2018

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure...

Feature Engineering for Machine Learning and Data Analytics

Guozhu Dong, Huan Liu
April 04, 2018

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 to represent the underlying data objects, and the quality of results of those algorithms largely depends on the...

A Practical Guide to Database Design

Rex Hogan
March 16, 2018

Fully updated and expanded from the previous edition, A Practical Guide to Database Design, Second Edition, is intended for those involved in the design or development of a database system or application. It begins by focusing on how to create a logical data model where data is stored "where it...

Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection

Mehdi Roopaei, Peyman Najafirad (Paul Rad)
March 15, 2018

This book provides a comprehensive overview of the research on anomaly detection with respect to context and situational awareness that aim to get a better understanding of how context information influences anomaly detection. In each chapter, it identifies advanced anomaly detection and key...

Deep Learning in Biometrics

Mayank Vatsa, Richa Singh, Angshul Majumdar
March 12, 2018

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This...