Description: Build Android-Based Smart Applications : Using Rules Engines, NLP and Automation Frameworks, Paperback by Mukherjee, Chinmoy, ISBN 1484233263, ISBN-13 9781484233269, Like New Used, Free P&P in the UK 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 LearnEvaluate 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 specificationsWho This Book Is For Android and web developers with some experience.
Price: 37.45 GBP
Location: Castle Donington
End Time: 2024-10-28T09:58:49.000Z
Shipping Cost: 20.85 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 30 days
Book Title: Build Android-Based Smart Applications : Using Rules Engines, NLP
Number of Pages: 133 Pages
Language: English
Publication Name: Build Android-Based Smart Applications: Using Rules Engines, Nlp and Automation Frameworks
Publisher: Apress
Publication Year: 2017
Subject: Computer Science
Item Height: 235 mm
Item Weight: 244 g
Type: Textbook
Author: Chinmoy Mukherjee
Item Width: 155 mm
Format: Paperback
