Build Android-Based Smart Applications Using Rules Engines, NLP and Automation Frameworks /
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,...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Berkeley, CA :
Apress,
2018.
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| Ausgabe: | 1st ed. 2018. |
| Schlagworte: | |
| ISBN: | 9781484233276 |
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| 020 | |a 9781484233276 | ||
| 024 | 7 | |a 10.1007/978-1-4842-3327-6 |2 doi | |
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| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Mukherjee, Chinmoy. |4 aut | |
| 245 | 1 | 0 | |a Build Android-Based Smart Applications |h [electronic resource] : |b Using Rules Engines, NLP and Automation Frameworks / |c by Chinmoy Mukherjee. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Berkeley, CA : |b Apress, |c 2018. | |
| 300 | |a XV, 133 p. 34 illus., 26 illus. in color. |b online resource. | ||
| 500 | |a Professional and Applied Computing | ||
| 505 | 0 | |a 1. Introduction -- 2. Rules Engines -- 3. Knowledge Management Applications -- 4. Android applications for solving real life problems. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Mobile computing. | |
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| 650 | 0 | |a Java (Computer program language). | |
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