Computer Science & Engineering

Data Mining and Knowledge Discovery

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High Performance Computing for Big Data: Methodologies and Applications

Chao Wang
October 10, 2017

High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life...

Frontiers in Data Science

Matthias Dehmer, Frank Emmert-Streib
October 09, 2017

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...

Video Cataloguing: Structure Parsing and Content Extraction

Guangyu Gao, Chi Harold Liu
October 01, 2017

The arrival of the digital age has created the need to be able to store, manage, and digitally use an ever-increasing amount of video and audio material. Thus, video cataloguing has emerged as a requirement of the times. Video Cataloguing: Structure Parsing and Content Extraction explains how to...

Data Analytics Applications in Education

Jan Vanthienen, Kristof De Witte
September 27, 2017

The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their...

From Internet of Things to Smart Cities: Enabling Technologies

Hongjian Sun, Chao Wang, Bashar I. Ahmad
September 20, 2017

From Internet of Things to Smart Cities: Enabling Technologies explores the information and communication technologies (ICT) needed to enable real-time responses to current environmental, technological, societal, and economic challenges. ICT technologies can be utilized to help with reducing carbon...

Big Data and Analytics Applications in Government: Current Practices and Future Opportunities

Gregory Richards
September 14, 2017

Government organizations are no different than private organizations when it comes to ensuring the delivery of value for money. Managers and politicians alike seek to do the best they can often do with limited budgets as they work in an environment characterized by rapidly changing external...

Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics

Fionn Murtagh
September 07, 2017

"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of…quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods…a very useful text and I would certainly use it in...

Introduction to Computing Applications in Forestry and Natural Resource Management

Jingxin Wang
September 01, 2017

Due to the complexity of operational forestry problems, computing applications are becoming pervasive in all aspects of forest and natural resource management. This book provides a comprehensive introduction to computers and their applications in forest and natural resource management and is...

Social Networks with Rich Edge Semantics

Quan Zheng, David Skillicorn
August 18, 2017

Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and...

Data Science and Analytics with Python

Jesus Rogel-Salazar
August 16, 2017

Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data science using tools developed in Python, such as SciKit-learn, Pandas, Numpy, and...

Large-Scale Machine Learning in the Earth Sciences

Ashok N. Srivastava, Ramakrishna Nemani, Karsten Steinhaeuser
August 07, 2017

From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an...

Data Analytics Applications in Latin America and Emerging Economies

Eduardo Rodriguez
August 01, 2017

This book focuses on understanding the analytics knowledge management process and its comprehensive application to various socioeconomic sectors. Using cases from Latin America and other emerging economies, it examines analytics knowledge applications where a solution has been achieved. Written for...

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