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Build Android-Based Smart Applications

Using Rules Engines, NLP and Automation Frameworks

  • Book
  • © 2018

Overview

  • Learn how to use rules engines to build smart applications which can even beat human beings in decision making
  • Shift gears from traditional application development to smart application development
  • Transform your development process

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Table of contents (11 chapters)

  1. Rules Engines

  2. SmartAppGen: Automatically Generate Knowledge Application from Structured Knowledge

  3. Android Applications for Solving Real-Life Problems

Keywords

About this book

Build smart applications using cutting-edge technologies such as rules engines, code automation frameworks, and natural language processing (NLP). This book provides step-by-step instructions on how to port nine rules engines (CLIPS, JRuleEngine, DTRules, Zilonis, TermWare, Roolie, OpenRules, JxBRE, and JEOPS) to the Android platform. You’ll learn how to use each rules engine to build a smart application with sample code snippets so that you can get started with programming smart applications immediately. Build Android-Based Smart Applications also describes porting issues with other popular rules engines (Drools, JLisa, Take, and Jess).


This book is a step-by-step guide on how to generate a working smart application from requirement specifications. It concludes by showing you how to generate a smart application from unstructured knowledge using the Stanford POS (Part of Speech) tagger NLP framework.


What You Will Learn
  • Evaluate the available rules engines to see which rules engine is best to use for building smart applications
  • Build smart applications using rules engines
  • Create a smart application using NLP
  • Automatically generate smart application from requirement specifications

Who This Book Is For


Android and web developers with some experience.


Authors and Affiliations

  • Bangalore, India

    Chinmoy Mukherjee

About the author

Chinmoy Mukherjee has been in software industry for past 17 years in India, Canada,  Australia and in the USA. He has written more than 100k lines of code, while working for several companies (Motorola, HP, Infineon, Cisco, etc.).

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