Computer Science & Engineering

Data Mining and Knowledge Discovery

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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, Second Edition

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...

Data Stewardship for Open Science: Implementing FAIR Principles

Barend Mons
March 05, 2018

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional activities broadly aware of the need, complexity, and challenges associated with open science, modern...

Big Data and Computational Intelligence in Networking

Yulei Wu, Fei Hu, Geyong Min, Albert Y. Zomaya
December 27, 2017

This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive...

Big Data Analytics with Applications in Insider Threat Detection

Bhavani Thuraisingham, Pallabi Parveen, Mohammad Mehedy Masud, Latifur Khan
December 01, 2017

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to...

Process Modeling and Management for Healthcare

Carlo Combi, Giuseppe Pozzi, Pierangelo Veltri
October 31, 2017

From the Foreword: "[This book] provides a comprehensive overview of the fundamental concepts in healthcare process management as well as some advanced topics in the cutting-edge research of the closely related areas. This book is ideal for graduate students and practitioners who want to build the...

Research Analytics: Boosting University Productivity and Competitiveness through Scientometrics

Francisco J. Cantu-Ortiz
October 26, 2017

The growth of machines and users of the Internet has led to the proliferation of all sorts of data concerning individuals, institutions, companies, governments, universities, and all kinds of known objects and events happening everywhere in daily life. Scientific knowledge is not an exception to...

Big Data Analytics: Tools and Technology for Effective Planning

Arun K. Somani, Ganesh Chandra Deka
October 26, 2017

The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and...

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