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Learning RStudio for R Statistical Computing
Learning RStudio for R Statistical Computing

If you need to create and manage complex statistical analysis projects, this book could be a catalyst for great things. In clear, practical chapters it teaches you how to employ Rstudio's powerful features to perform R statistical computing.

Overview

  • A complete practical tutorial for RStudio, designed...
Practical Neo4j
Practical Neo4j

Why have developers at places like Facebook and Twitter increasingly turned to graph databases to manage their highly connected big data? The short answer is that graphs offer superior speed and flexibility to get the job done.

It’s time you added skills in graph databases to your toolkit....

Handbook of Applied Algorithms: Solving Scientific, Engineering, and Practical Problems
Handbook of Applied Algorithms: Solving Scientific, Engineering, and Practical Problems

Although vast activity exists, especially recent, the editors did not find any book that treats applied algorithms in a comprehensive manner. The editors discovered a number of graduate courses in computer science programs with titles such as “Design and Analysis of Algorithms, “Combinatorial Algorithms” “Evolutionary...

Neo4j in Action
Neo4j in Action

Summary

Neo4j in Action is a comprehensive guide to Neo4j, aimed at application developers and software architects. Using hands-on examples, you'll learn to model graph domains naturally with Neo4j graph structures. The book explores the full power of native Java APIs for graph data manipulation and...

MongoDB and Python: Patterns and processes for the popular document-oriented database
MongoDB and Python: Patterns and processes for the popular document-oriented database

Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios.

This guide explains the basics...

Visual Design of GraphQL Data: A Practical Introduction with Legacy Data and Neo4j
Visual Design of GraphQL Data: A Practical Introduction with Legacy Data and Neo4j
Get an introduction to the visual design of GraphQL data and concepts, including GraphQL structures, semantics, and schemas in this compact, pragmatic book. In it you will see simple guidelines based on lessons learned from real-life data discovery and unification, as well as useful visualization techniques. These in turn help...
An Introduction to Distributed Algorithms
An Introduction to Distributed Algorithms
"Barbosa makes the otherwise difficult subject of distributed algorithms very enjoyable and attractive to both students and researchers. The leading intuitive discussion of each algorithm is so very well organized and clearly written that a reader can, without the slightest effort, have a clear picture of it. An ideal textbook for an...
Knowledge-Based Software Engineering:  Proceedings of the Seventh Joint Conference on Knowledge-Based Software Engineering
Knowledge-Based Software Engineering: Proceedings of the Seventh Joint Conference on Knowledge-Based Software Engineering
This article proposes an automatic generation method of relation matrix for Interpretive Structural Modelling (ISM), which is a popular tool widely used for visualising problem structure, problem structure analysis, and decision making. In ISM, problems are divided into sub problems. Then hierarchy relations are introduced into the set of sub...
Managing and Mining Graph Data (Advances in Database Systems)
Managing and Mining Graph Data (Advances in Database Systems)

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific...

Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing
Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing

Wiley-Interscience Series in Discrete Mathematics and Optimization Advisory Editors Ronald L. Graham Jan Karel Lenstra Robert E. Tarjan Discrete Mathematics and Optimization involves the study of finite structures. It is one of the fastest growing areas in mathematics today. The level and depth of recent advances in the area and the wide...

Fundamental Approach to Discrete Mathematics
Fundamental Approach to Discrete Mathematics

The salient features of this book include: strong coverage of key topics involving recurrence relation, combinatorics, Boolean algebra, graph theory and fuzzy set theory. Algorithms and examples integrated throughout the book to bring clarity to the fundamental concepts. Each concept and definition is followed by thoughtful examples. There is...

Multi-Objective Optimization in Computer Networks Using Metaheuristics
Multi-Objective Optimization in Computer Networks Using Metaheuristics
Many new multicast applications emerging from the Internet, such as Voice-over-IP (VoIP), videoconference, TV over the Internet, radio over the Internet, video streaming multipoint, etc., have the following resource requirements: bandwidth consumption, end-to-end delay, delay jitter, packet loss ratio, and so forth. It is therefore necessary to...
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