Computer Science & Engineering

Data Mining and Knowledge Discovery

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Large-Scale Machine Learning in the Earth Sciences

Ashok N. Srivastava, Ramakrishna Nemani, Karsten Steinhaeuser
August 14, 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...

Social Networks with Rich Edge Semantics

Quan Zheng, David Skillicorn
August 14, 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...

The Essentials of Data Science: Knowledge Discovery Using R

Graham J. Williams
August 14, 2017

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from...

Data Science and Analytics with Python

Jesus Rogel-Salazar
August 11, 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...

Experiment and Evaluation in Information Retrieval Models

K. Latha
August 07, 2017

Experiment and Evaluation in Information Retrieval Models explores different algorithms for the application of evolutionary computation to the field of information retrieval (IR). As well as examining existing approaches to resolving some of the problems in this field, results obtained by...

The 3-D Global Spatial Data Model: Principles and Applications, Second Edition

Earl F. Burkholder
August 01, 2017

Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements, but modern measurement systems operate in a 3-D spatial environment. The 3-D Global Spatial Data Model: Principles and Applications, Second Edition maintains...

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...

The Data Book: Collection and Management of Research Data

Meredith Zozus
July 18, 2017

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on...

Big Data Analytics Using Multiple Criteria Decision-Making Models

Ramakrishnan Ramanathan, Muthu Mathirajan, A. Ravi Ravindran
July 17, 2017

Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data...

Knowledge Discovery Process and Methods to Enhance Organizational Performance

Kweku-Muata Osei-Bryson, Corlane Barclay
July 01, 2017

Although the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of...

Data Mining for Global Trends in Mountain Biodiversity

Eva M. Spehn, Christian Korner
June 21, 2017

Thanks to advances in electronic archiving of biodiversity data and the digitization of climate and other geophysical data, a new era in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva M. Spehn,...

Logo Recognition: Theory and Practice

Jingying Chen, Lizhe Wang, Dan Chen
June 14, 2017

Used by companies, organizations, and even individuals to promote recognition of their brand, logos can also act as a valuable means of identifying the source of a document. E-business applications can retrieve and catalog products according to their logos. Governmental agencies can easily inspect...

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