國立虎尾科技大學 |

Build Android-Based Smart Applications = Using Rules Engines, NLP and Automation Frameworks /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Build Android-Based Smart Applications/ by Chinmoy Mukherjee.
其他題名:	Using Rules Engines, NLP and Automation Frameworks /
作者:	Mukherjee, Chinmoy.
面頁冊數:	XV, 133 p. 34 illus., 26 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Mobile computing. -
電子資源:	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 ApplicationsUsing 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 /
LDR:02721nam a22003975i 4500 001 998139
003 DE-He213
005 20200703153555.0
007 cr nn 008mamaa
008 201225s2018 xxu| s |||| 0|eng d
020 $a 9781484233276 $9 978-1-4842-3327-6
024 7 $a 10.1007/978-1-4842-3327-6 $2 doi
035 $a 978-1-4842-3327-6
050 4 $a QA76.59
072 7 $a UMS $2 bicssc
072 7 $a COM051460 $2 bisacsh
072 7 $a UMS $2 thema
082 0 4 $a 004.167 $2 23
100 1 $a Mukherjee, Chinmoy. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1289576
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.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a XV, 133 p. 34 illus., 26 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 1. Introduction -- 2. Rules Engines -- 3. Knowledge Management Applications -- 4. Android applications for solving real life problems.
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. $3 562918
650 0 $a Open source software. $3 561177
650 0 $a Computer programming. $3 527822
650 0 $a Artificial intelligence. $3 559380
650 0 $a Java (Computer program language). $3 686374
650 1 4 $a Mobile Computing. $3 1115990
650 2 4 $a Open Source. $3 1113081
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Java. $3 1115949
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484233269
776 0 8 $i Printed edition: $z 9781484233283
776 0 8 $i Printed edition: $z 9781484247297
856 4 0 $u https://doi.org/10.1007/978-1-4842-3327-6
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)