Intelligence Science And Big Data Engineering

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Intelligence Science and Big Data Engineering

Author : Yuxin Peng,Kai Yu,Jiwen Lu,Xingpeng Jiang
Publisher : Springer
Page : 692 pages
File Size : 46,8 Mb
Release : 2018-11-08
Category : Computers
ISBN : 9783030026981

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Intelligence Science and Big Data Engineering by Yuxin Peng,Kai Yu,Jiwen Lu,Xingpeng Jiang Pdf

This book constitutes the proceedings of the 8th International Conference on Intelligence Science and Big DataEngineering, IScIDE 2018, held in Lanzhou, China, in August 2018.The 59 full papers presented in this book were carefully reviewed and selected from 121 submissions.They are grouped in topical sections on robots and intelligent systems; statistics and learning; deep learning; objects and language; classification and clustering; imaging; and biomedical signal processing.​

Intelligence Science and Big Data Engineering

Author : Changyin Sun,Fang Fang,Zhi-Hua Zhou,Wankou Yang,Zhiyong Liu
Publisher : Springer
Page : 908 pages
File Size : 41,7 Mb
Release : 2013-11-18
Category : Computers
ISBN : 9783642420573

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Intelligence Science and Big Data Engineering by Changyin Sun,Fang Fang,Zhi-Hua Zhou,Wankou Yang,Zhiyong Liu Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013, held in Beijing, China, in July/August 2013. The 111 papers presented were carefully peer-reviewed and selected from 390 submissions. Topics covered include information theoretic and Bayesian approaches; probabilistic graphical models; pattern recognition and computer vision; signal processing and image processing; machine learning and computational intelligence; neural networks and neuro-informatics; statistical inference and uncertainty reasoning; bioinformatics and computational biology and speech recognition and natural language processing.

Intelligence Science and Big Data Engineering

Author : Yi Sun,Huchuan Lu,Lihe Zhang,Jian Yang,Hua Huang
Publisher : Springer
Page : 691 pages
File Size : 45,5 Mb
Release : 2017-09-14
Category : Computers
ISBN : 9783319677774

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Intelligence Science and Big Data Engineering by Yi Sun,Huchuan Lu,Lihe Zhang,Jian Yang,Hua Huang Pdf

This book constitutes the proceedings of the 7th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2017, held in Dalian, China, in September 2017.The 48 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 121 submissions. They deal with statistics and learning; deep neural networks; faces and people; objects; classification and clustering; imaging; biomedical signal processing; and recommendation.

Intelligence Science and Big Data Engineering. Visual Data Engineering

Author : Zhen Cui,Jinshan Pan,Shanshan Zhang,Liang Xiao,Jian Yang
Publisher : Springer Nature
Page : 594 pages
File Size : 41,6 Mb
Release : 2019-11-28
Category : Computers
ISBN : 9783030361891

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Intelligence Science and Big Data Engineering. Visual Data Engineering by Zhen Cui,Jinshan Pan,Shanshan Zhang,Liang Xiao,Jian Yang Pdf

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

Intelligence Science and Big Data Engineering. Image and Video Data Engineering

Author : Xiaofei He,Xinbo Gao,Yanning Zhang,Zhi-Hua Zhou,Zhi-Yong Liu,Baochuan Fu,Fuyuan Hu,Zhancheng Zhang
Publisher : Springer
Page : 661 pages
File Size : 50,6 Mb
Release : 2015-10-13
Category : Computers
ISBN : 9783319239897

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Intelligence Science and Big Data Engineering. Image and Video Data Engineering by Xiaofei He,Xinbo Gao,Yanning Zhang,Zhi-Hua Zhou,Zhi-Yong Liu,Baochuan Fu,Fuyuan Hu,Zhancheng Zhang Pdf

The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning

Author : Zhen Cui,Jinshan Pan,Shanshan Zhang,Liang Xiao,Jian Yang
Publisher : Springer Nature
Page : 455 pages
File Size : 44,5 Mb
Release : 2019-11-28
Category : Computers
ISBN : 9783030362041

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning by Zhen Cui,Jinshan Pan,Shanshan Zhang,Liang Xiao,Jian Yang Pdf

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

Author : Xiaofei He,Xinbo Gao,Yanning Zhang,Zhi-Hua Zhou,Zhi-Yong Liu,Baochuan Fu,Fuyuan Hu,Zhancheng Zhang
Publisher : Springer
Page : 627 pages
File Size : 44,6 Mb
Release : 2015-10-13
Category : Computers
ISBN : 9783319238623

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques by Xiaofei He,Xinbo Gao,Yanning Zhang,Zhi-Hua Zhou,Zhi-Yong Liu,Baochuan Fu,Fuyuan Hu,Zhancheng Zhang Pdf

The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.

Intelligence in Big Data Technologies—Beyond the Hype

Author : J. Dinesh Peter,Steven L. Fernandes,Amir H. Alavi
Publisher : Springer Nature
Page : 625 pages
File Size : 40,8 Mb
Release : 2020-07-25
Category : Technology & Engineering
ISBN : 9789811552854

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Intelligence in Big Data Technologies—Beyond the Hype by J. Dinesh Peter,Steven L. Fernandes,Amir H. Alavi Pdf

This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

Author : Xiaofei He,Xinbo Gao,Yanning Zhang,Zhi-Hua Zhou,Zhi-Yong Liu,Baochuan Fu,Fuyuan Hu,Zhancheng Zhang
Publisher : Unknown
Page : 128 pages
File Size : 54,9 Mb
Release : 2015
Category : Electronic
ISBN : 3319238639

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques by Xiaofei He,Xinbo Gao,Yanning Zhang,Zhi-Hua Zhou,Zhi-Yong Liu,Baochuan Fu,Fuyuan Hu,Zhancheng Zhang Pdf

Intelligence Science and Big Data Engineering. Visual Data Engineering

Author : Zhen Cui,Jinshan Pan,Shanshan Zhang,Liang Xiao,Jian Yang
Publisher : Springer
Page : 577 pages
File Size : 43,7 Mb
Release : 2019-11-29
Category : Computers
ISBN : 3030361888

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Intelligence Science and Big Data Engineering. Visual Data Engineering by Zhen Cui,Jinshan Pan,Shanshan Zhang,Liang Xiao,Jian Yang Pdf

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

Advances in Artificial Intelligence and Data Engineering

Author : Niranjan N. Chiplunkar,Takanori Fukao
Publisher : Springer Nature
Page : 1456 pages
File Size : 50,9 Mb
Release : 2020-08-13
Category : Technology & Engineering
ISBN : 9789811535147

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Advances in Artificial Intelligence and Data Engineering by Niranjan N. Chiplunkar,Takanori Fukao Pdf

This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.

Data Science and Big Data: An Environment of Computational Intelligence

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 303 pages
File Size : 54,9 Mb
Release : 2017-03-21
Category : Technology & Engineering
ISBN : 9783319534749

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Data Science and Big Data: An Environment of Computational Intelligence by Witold Pedrycz,Shyi-Ming Chen Pdf

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Foundations of Data Science for Engineering Problem Solving

Author : Parikshit Narendra Mahalle,Gitanjali Rahul Shinde,Priya Dudhale Pise,Jyoti Yogesh Deshmukh
Publisher : Springer Nature
Page : 125 pages
File Size : 51,6 Mb
Release : 2021-08-21
Category : Technology & Engineering
ISBN : 9789811651601

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Foundations of Data Science for Engineering Problem Solving by Parikshit Narendra Mahalle,Gitanjali Rahul Shinde,Priya Dudhale Pise,Jyoti Yogesh Deshmukh Pdf

This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics

Author : Sunil Kumar Dhal,Subhendu Kumar Pani,Srinivas Prasad,Sudhir Kumar Mohapatra
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 51,9 Mb
Release : 2022-06-28
Category : Computers
ISBN : 9781119791737

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Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics by Sunil Kumar Dhal,Subhendu Kumar Pani,Srinivas Prasad,Sudhir Kumar Mohapatra Pdf

BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Author : Patil, Bhushan,Vohra, Manisha
Publisher : IGI Global
Page : 583 pages
File Size : 54,7 Mb
Release : 2020-10-23
Category : Computers
ISBN : 9781799830542

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Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics by Patil, Bhushan,Vohra, Manisha Pdf

Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.