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Graphing Data with R: An Introduction
Graphing Data with R: An Introduction

It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods...

Practical Packet Analysis: Using Wireshark to Solve Real-World Network Problems
Practical Packet Analysis: Using Wireshark to Solve Real-World Network Problems

It's easy to capture packets with Wireshark, the world's most popular network sniffer, whether off the wire or from the air. But how do you use those packets to understand what's happening on your network?

With an expanded discussion of network protocols and 45 completely new scenarios, this extensively...

Practical Data Analysis
Practical Data Analysis

Transform, model, and visualize your data through hands-on projects, developed in open source tools

Overview

  • Explore how to analyze your data in various innovative ways and turn them into insight
  • Learn to use the D3.js visualization tool for exploratory data analysis
  • ...
Neo4j High Performance
Neo4j High Performance

Design, build, and administer scalable graph database systems for your applications using Neo4j

About This Book

  • Explore the numerous components that provide abstractions for pretty much any functionality you need from your persistent graphs
  • Familiarize yourself with how to test the...
Introducing Data Science: Big Data, Machine Learning, and more, using Python tools
Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

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Network Security Through Data Analysis: From Data to Action
Network Security Through Data Analysis: From Data to Action

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll...

Building Web Applications with Python and Neo4j
Building Web Applications with Python and Neo4j

Develop exciting real-world Python-based web applications with Neo4j using frameworks such as Flask, Py2neo, and Django

About This Book

  • Develop a set of common applications and solutions with Neo4j and Python
  • Secure and deploy the Neo4j database in production
  • A step-by-step...
gnuplot Cookbook
gnuplot Cookbook
gnuplot is a free, open source plotting program that has been in wide use since 1986. It's used as the graphics backend by many other programs, so plenty of people use gnuplot without knowing it. If you've used Octave, Maxima, statist, gretl, or the Emacs graphing calculator, you've already used gnuplot.

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Hadoop Real World Solutions Cookbook
Hadoop Real World Solutions Cookbook

Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.

Overview

  • Solutions to common problems when working in the Hadoop...
Neo4j Graph Data Modeling
Neo4j Graph Data Modeling

Design efficient and flexible databases by optimizing the power of Neo4j

About This Book

  • Model your data as a graph using Neo4j to design databases with minimum hassle
  • Discover new patterns using graphs and solve problems that are difficult to solve using any other database
  • ...
Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
Polynomial optimization, as its name suggests, is used to optimize a generic multivariate polynomial function, subject to some suitable polynomial equality and/or inequality constraints. Such problem formulation dates back to the nineteenth century when the relationship between nonnegative polynomials and sum of squares (SOS) was...
Graphs and Networks: Multilevel Modeling
Graphs and Networks: Multilevel Modeling

Completely updated and containing two new chapters, this title covers spatial analysis and urban management using graph theory simulation.  Highly practical, the simulation approach allows readers to solve classic problems such as placement of high-speed roads, the capacity of a network, pollution emission control, and more.

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