Data Science And Intelligent Applications

Author: Ketan Kotecha
Editor: Springer Nature
ISBN: 9811544743
File Size: 68,79 MB
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This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints. The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.
Data Science and Intelligent Applications
Language: en
Pages: 576
Authors: Ketan Kotecha, Vincenzo Piuri, Hetalkumar N. Shah, Rajan Patel
Categories: Technology & Engineering
Type: BOOK - Published: 2020-06-17 - Publisher: Springer Nature

This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science
Information Systems Design and Intelligent Applications
Language: en
Pages: 1088
Authors: Vikrant Bhateja, Bao Le Nguyen, Nhu Gia Nguyen, Suresh Chandra Satapathy, Dac-Nhuong Le
Categories: Computers
Type: BOOK - Published: 2018-03-01 - Publisher: Springer

The book is a collection of high-quality peer-reviewed research papers presented at International Conference on Information System Design and Intelligent Applications (INDIA 2017) held at Duy Tan University, Da Nang, Vietnam during 15-17 June 2017. The book covers a wide range of topics of computer science and information technology discipline
Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (India 2012) held in Visakhapatnam, India, January 2012
Language: en
Pages: 954
Authors: Suresh Chandra Satapathy, P S Avadhani, Ajith Abraham
Categories: Technology & Engineering
Type: BOOK - Published: 2011-12-14 - Publisher: Springer Science & Business Media

This volume contains the papers presented at INDIA-2012: International conference on Information system Design and Intelligent Applications held on January 5-7, 2012 in Vishakhapatnam, India. This conference was organized by Computer Society of India (CSI), Vishakhapatnam chapter well supported by Vishakhapatnam Steel, RINL, Govt of India. It contains 108 papers
Knowledge Modelling and Big Data Analytics in Healthcare
Language: en
Pages: 362
Authors: Mayuri Mehta, Kalpdrum Passi, Indranath Chatterjee, Rajan Patel
Categories: Computers
Type: BOOK - Published: 2021-12-09 - Publisher: CRC Press

Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals.
Data Science for Healthcare
Language: en
Pages: 367
Authors: Sergio Consoli, Diego Reforgiato Recupero, Milan Petković
Categories: Computers
Type: BOOK - Published: 2019-03-22 - Publisher: Springer

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern