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Using R for Data Analysis in Social Sciences
Using R for Data Analysis in Social Sciences
Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate...
Malicious Attack Propagation and Source Identification (Advances in Information Security)
Malicious Attack Propagation and Source Identification (Advances in Information Security)

This book covers and makes four major contributions:

1) analyzing and surveying the pros and cons of current approaches for identifying rumor sources on complex networks;

2) proposing a novel approach to identify rumor sources in time-varying networks;

3) developing a fast approach to identify...

Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
Data Algorithms: Recipes for Scaling Up with Hadoop and Spark

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as...

Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture
Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.

Scalable Big Data Architecture covers real-world,...

Mechanics of Biological Systems & Micro-and Nanomechanics, Volume 4: Proceedings of the 2018 Annual Conference on Experimental and Applied Mechanics ... Society for Experimental Mechanics Series)
Mechanics of Biological Systems & Micro-and Nanomechanics, Volume 4: Proceedings of the 2018 Annual Conference on Experimental and Applied Mechanics ... Society for Experimental Mechanics Series)
MechanicsofBiologicalSystems&Micro-andNanomechanics representsoneofeightvolumesoftechnicalpaperspresented at the 2018 SEM Annual Conference and Exposition on Experimental and Applied Mechanics organized by the Society for Experimental Mechanics and held in Greenville, SC, from June 4 to 7, 2018. The complete proceedings...
Hadoop in Action
Hadoop in Action

Hadoop in Action teaches readers how to use Hadoop and write MapReduce programs. The intended readers are programmers, architects, and project managers who have to process large amounts of data offline. Hadoop in Action will lead the reader from obtaining a copy of Hadoop to setting it up in a cluster and writing data...

Data Analysis Using SAS Enterprise Guide
Data Analysis Using SAS Enterprise Guide

The present book, Data Analysis Using SAS Enterprise Guide, provides readers with an overview of Enterprise Guide, the newest point-and-click interface from SAS. SAS Enterprise Guide is a graphical user (point-and-click) interface to the main SAS application, having relatively recently replaced the Analyst interface, which itself had replaced...

S+Functional Data Analysis User's Guide
S+Functional Data Analysis User's Guide
S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation as a function of time (or other variable). The functions are related. The goal is to analyze a sample of functions instead of a...
Computational Approaches to Biochemical Reactivity (Understanding Chemical Reactivity)
Computational Approaches to Biochemical Reactivity (Understanding Chemical Reactivity)
This book summarises recent results in the rapidly developing discipline of the computational aspects of biochemical reactivity. It presents a comprehensive and critical treatise on the subject, with numerous references covering practically all relevant and recent work. The chapters, written by eminent experts in the field, deal with quantum...
Head First Statistics
Head First Statistics
Wouldn't it be great if there were a statistics book that made histograms, probability distributions, and chi square analysis more enjoyable than going to the dentist? Head First Statistics brings this typically dry subject to life, teaching you everything you want and need to know about statistics through engaging, interactive, and...
Dynamic Speech Models (Synthesis Lectures on Speech and Audio Processing)
Dynamic Speech Models (Synthesis Lectures on Speech and Audio Processing)
In a broad sense, speech dynamics are time-varying or temporal characteristics in all stages of the human speech communication process. This process, sometimes referred to as speech chain [1], starts with the formation of a linguistic message in the speaker’s brain and ends with the arrival of the message in the...
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