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Intelligent computing and innovation...
~
(1998 :)
Intelligent computing and innovation on data scienceproceedings of ICTIDS 2019 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Intelligent computing and innovation on data scienceedited by Sheng-Lung Peng ... [et al.].
Reminder of title:
proceedings of ICTIDS 2019 /
remainder title:
ICTIDS 2019
other author:
Peng, Sheng-Lung.
corporate name:
Published:
Singapore :Springer Singapore :2020.
Description:
xxxiii, 801 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Artificial intelligence
Online resource:
https://doi.org/10.1007/978-981-15-3284-9
ISBN:
9789811532849$q(electronic bk.)
Intelligent computing and innovation on data scienceproceedings of ICTIDS 2019 /
Intelligent computing and innovation on data science
proceedings 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.1..
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$q(electronic bk.)
Standard No.: 10.1007/978-981-15-3284-9doiSubjects--Topical Terms:
252958
Artificial intelligence
LC Class. No.: Q334 / .I584 2019
Dewey Class. No.: 006.3
Intelligent computing and innovation on data scienceproceedings of ICTIDS 2019 /
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edited by Sheng-Lung Peng ... [et al.].
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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.
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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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Intelligent Technologies and Robotics (Springer-42732)
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000000184348
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EB Q334 .I17 2019 2020
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https://doi.org/10.1007/978-981-15-3284-9
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