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Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Blockchain: A Practical Guide to Developing Business, Law, and Technology Solutions
Blockchain: A Practical Guide to Developing Business, Law, and Technology Solutions
Develop, validate, and deploy powerful decentralized applications using blockchain 


Get the most out of cutting-edge blockchain technology using the hands-on information contained in this comprehensive resource. Written by a team of technology and legal experts, Blockchain:...
Kafka: The Definitive Guide: Real-time data and stream processing at scale
Kafka: The Definitive Guide: Real-time data and stream processing at scale

Learn how to take full advantage of Apache Kafka, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you’ll understand how Kafka works and how it’s designed. Authors Neha Narkhede, Gwen Shapira, and Todd Palino show you how to deploy production Kafka clusters; secure,...

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,...

Elasticsearch: A Complete Guide
Elasticsearch: A Complete Guide

End-to-end Search and Analytics

About This Book

  • Solve your data analytics problems with the Elastic Stack
  • Improve your user search experience with Elasticsearch and develop your own Elasticsearch plugins
  • Design your index, configure it, and distribute it ― you'll...
Database Access With Visual Basic
Database Access With Visual Basic
Database Access with Visual Basic is the only book that takes an object paradigm approach for component-based solutions to modern, distributed enterprise implementations.
Database Access with Visual Basic's major emphasis is on solutions, not technology. Rather than rattling off a list of features, diagrams, and acronyms, this
...
Concurrent, Real-Time and Distributed Programming in Java: Threads, RTSJ and RMI (Focus: Computer Science)
Concurrent, Real-Time and Distributed Programming in Java: Threads, RTSJ and RMI (Focus: Computer Science)

This book provides an introduction to concurrent, real-time, distributed programming with Java object-oriented language support as an algorithm description tool. It describes in particular the mechanisms of synchronization (cooperative and competitive) and sharing of data (internal class, static variables) between threads in Java. He...

Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities (Studies in Big Data)
Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities (Studies in Big Data)

The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for...

Reactive Design Patterns
Reactive Design Patterns

Summary

Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly...

A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)
A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)
Concurrent data structures simplify the development of concurrent programs by encapsulating commonly used mechanisms for synchronization and commu­ nication into data structures. This thesis develops a notation for describing concurrent data structures, presents examples of concurrent data structures, and describes an architecture to support...
Native Docker Clustering with Swarm
Native Docker Clustering with Swarm

Key Features

  • Get to grips with Docker Swarm, one of the key components of the Docker ecosystem.
  • Optimize Swarm and SwarmKit features for scaling massive applications through containers.
  • Learn about Docker’s scheduling tricks, high availability, security, and platform scalability.
  • ...
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