Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The ...
Speed up the execution of important database queries by making good choices about which indexes to create. Choose correct index types for different sc ...
With an increasing number of devices getting connected to the Internet, massive amounts of data are being generated that can be used for analysis. Thi ...
This book examines recent developments in semantic systems that can respond to situations and environments and events. The contributors to this book c ...
Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a “do-it-yourself” approach to extracti ...
This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term “Big Data”, from the usage ...
Oracle SOA Suite 12 c is the most comprehensive and integrated infrastructure on the market today that is used for building applications based on serv ...
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you ...
Business Intelligence with SQL Server Reporting Services helps you deliver business intelligence with panache. Harness the power of the Reporting Serv ...
ggplot2 is one of the most sophisticated and advanced packages of R and its use is constantly growing in the community of R programmers. This book is ...
Get a solid grounding in Apache Oozie, the workflow scheduler system for managing Hadoop jobs. With this hands-on guide, two experienced Hadoop practi ...
New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge ...
You don’t need a technical background to build powerful databases with FileMaker Pro 14. This crystal-clear, objective guide shows you how to create a ...
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Dat ...
This book contains over 70 practical, task-oriented recipes to build up your knowledge of Splunk’s many features which you can apply to real-world ope ...
Apache Hadoop is helping drive the Big Data revolution. Now, its data processing has been completely overhauled: Apache Hadoop YARN provides resource ...
The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build c ...
If you’re thinking about migrating to the PostgreSQL open source database system, this guide provides a concise overview to help you quickly understan ...
Learning Neo4j provides you with a step-by-step approach of adopting Neo4j, the world’s leading graph database. This book includes a lot of background ...
From smaller businesses through to huge enterprises – users all over the world often require access to data 24 hours a day. Distributed database syste ...
This volume does much more than survey modern advanced color processing. Starting with a historical perspective on ways we have classified color, it s ...
This original text provides comprehensive coverage of parallel algorithms and architectures, beginning with fundamental concepts and continuing throug ...
This companion exercise and solution book to A Classical Introduction to Cryptography: Applications for Communications Security contains a carefully r ...
This book constitutes the refereed proceedings of the 11th Algorithms and Data Structures Symposium, WADS 2009, held in Banff, Canada, in August 2009. ...
Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data sto ...
