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Intelligent computing and innovation...

ICTIDS (Conference) ((2019 :)

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Intelligent computing and innovation on data science = proceedings of ICTIDS 2019 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent computing and innovation on data science/ edited by Sheng-Lung Peng ... [et al.].
其他題名:	proceedings of ICTIDS 2019 /
其他題名:	ICTIDS 2019
其他作者:	Peng, Sheng-Lung.
團體作者:	ICTIDS (Conference)
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xxxiii, 801 p. :ill., digital ;24 cm.
內容註:	Comprehensive Guide to Implementation of Data Warehouse in Education -- Computational Biology Tool Towards Studying the Interaction Between Azadirachtin Plant Compound with Cervical Cancer Proteins -- Intelligent Agent Based Organization For Studying the Big Five Personality Traits -- Automatic Pruning of Rules Through Multi-Objective Optimization - A Case Study With a Multi-Objective Cultural Algorithm -- Knowledge Genesis And Dissemination: Impact On Performance In Information Technology Services -- Artificial Intelligence Based Load Balancing In Cloud Computing Environment: A Study -- Implementation of Statistical Data Analytics in Data Science Life Cycle -- A Big Data Analytics-Based Design for Viable Evolution of Retail Sector -- Document Content Analysis Based on Random Forest Algorithm -- Sensing The Prostatectomy in Neuroendocrine Metastatic Active Surveillance in Data Mining Techniques -- Work Load Forecasting Based On Big Data Characteristics In Cloud Systems -- Phrase Extraction Using Pattern Based Bootstrapping Approach -- IOT Based Trash Collection Bin Using Arduino.
Contained By:	Springer eBooks
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-15-3284-9
ISBN:	9789811532849

Intelligent computing and innovation on data science = proceedings of ICTIDS 2019 /
Intelligent computing and innovation on data scienceproceedings of ICTIDS 2019 /[electronic resource] :ICTIDS 2019edited by Sheng-Lung Peng ... [et al.]. - Singapore :Springer Singapore :2020. - xxxiii, 801 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v.1182367-3370 ;. - Lecture notes in networks and systems ;v.118..

Comprehensive Guide to Implementation of Data Warehouse in Education -- Computational Biology Tool Towards Studying the Interaction Between Azadirachtin Plant Compound with Cervical Cancer Proteins -- Intelligent Agent Based Organization For Studying the Big Five Personality Traits -- Automatic Pruning of Rules Through Multi-Objective Optimization - A Case Study With a Multi-Objective Cultural Algorithm -- Knowledge Genesis And Dissemination: Impact On Performance In Information Technology Services -- Artificial Intelligence Based Load Balancing In Cloud Computing Environment: A Study -- Implementation of Statistical Data Analytics in Data Science Life Cycle -- A Big Data Analytics-Based Design for Viable Evolution of Retail Sector -- Document Content Analysis Based on Random Forest Algorithm -- Sensing The Prostatectomy in Neuroendocrine Metastatic Active Surveillance in Data Mining Techniques -- Work Load Forecasting Based On Big Data Characteristics In Cloud Systems -- Phrase Extraction Using Pattern Based Bootstrapping Approach -- IOT Based Trash Collection Bin Using Arduino.

This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.

ISBN: 9789811532849

Standard No.: 10.1007/978-981-15-3284-9doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334 / .I584 2019

Dewey Class. No.: 006.3

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520 $a This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.
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