This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a comprehensive study on this topic that explores multi-dimensional contexts in machine learning modeling, context discretization with time-series modeling, contextual rule discovery and predictive analytics, recent-pattern or rule-based behavior modeling, and their usefulness in various context-aware intelligent applications and services. The presented machine learning-based techniques can be employed in a wide range of real-world application areas ranging from personalized mobile services to security intelligence, highlighted in the book. As the interpretability of a rule-based system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the application developers as well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science, machine learning, AI-Driven computing, human-centered computing and personalization, behavioral analytics, IoT and mobile applications, and cybersecurity intelligence.

This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a comprehensive study on this topic that explores multi-dimensional contexts in machine learning modeling, context discretization with time-series modeling, contextual rule discovery and predictive analytics, recent-pattern or rule-based behavior modeling, and their usefulness in various context-aware intelligent applications and services. The presented machine learning-based techniques can be employed in a wide range of real-world application areas ranging from personalized mobile services to security intelligence, highlighted in the book. As the interpretability of a rule-based system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the application developers as well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science, machine learning, AI-Driven computing, human-centered computing and personalization, behavioral analytics, IoT and mobile applications, and cybersecurity intelligence.

This guide covers all aspects of deploying Solaris as an enterprise-level network operating system, with a focus on e-commerce. Written for experienced network administrators who want an objective guide to networking with Solaris, the book covers installation on the Intel and Sparc platforms, and instructs you how to setup Solaris as a file server, application server, and database server.

Essential Skills--Made Easy!

Learn to set up, run, and support Solaris 9 across your network using this hands-on introductory guide. Beginning with an overview of this powerful operating system, this practical resource will show you how to install the SPARC version of Solaris 9 and manage Internet and intranet services, and will help you become familiar with the new features of Solaris 9--including role-based access control, Kerberos 5, and the LDAP directory service. You'll also learn how to integrate Windows NT/2000 or Linux with the Solaris platform. Filled with step-by-step exercises, self-assessment sections, and tips from a leading Solaris expert--this is a premier learning tool for every administrator new to Solaris.Modules--Each concept is divided into logically organized modules (chapters), ideal for self-paced learning Critical Skills--Each module opens with the specific skills covered in the module Ask-the-Experts--Q&A sections throughout are filled with bonus information and helpful tips 1-Minute Drills--Quick self-assessment sections check your progress Mastery Checks--End-of-module reviews test knowledge using short-answer, multiple-choice, and fill-in-the-blank questions Projects--Practical exercises show how to apply the critical skills learned in each module Blueprints--Key networking configurations are illustrated in detail