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Build Android-Based Smart Applicatio...
~
Mukherjee, Chinmoy.
Build Android-Based Smart Applications = Using Rules Engines, NLP and Automation Frameworks /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Build Android-Based Smart Applications/ by Chinmoy Mukherjee.
Reminder of title:
Using Rules Engines, NLP and Automation Frameworks /
Author:
Mukherjee, Chinmoy.
Description:
XV, 133 p. 34 illus., 26 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Mobile computing. -
Online resource:
https://doi.org/10.1007/978-1-4842-3327-6
ISBN:
9781484233276
Build Android-Based Smart Applications = Using Rules Engines, NLP and Automation Frameworks /
Mukherjee, Chinmoy.
Build Android-Based Smart Applications
Using Rules Engines, NLP and Automation Frameworks /[electronic resource] :by Chinmoy Mukherjee. - 1st ed. 2018. - XV, 133 p. 34 illus., 26 illus. in color.online resource.
1. Introduction -- 2. Rules Engines -- 3. Knowledge Management Applications -- 4. Android applications for solving real life problems.
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 Applicationsalso 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. You will: 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.
ISBN: 9781484233276
Standard No.: 10.1007/978-1-4842-3327-6doiSubjects--Topical Terms:
562918
Mobile computing.
LC Class. No.: QA76.59
Dewey Class. No.: 004.167
Build Android-Based Smart Applications = Using Rules Engines, NLP and Automation Frameworks /
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1. Introduction -- 2. Rules Engines -- 3. Knowledge Management Applications -- 4. Android applications for solving real life problems.
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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 Applicationsalso 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. You will: 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.
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