Intelligence Science And Big Data Engineering

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Intelligence in Big Data Technologies—Beyond the Hype

Author : J. Dinesh Peter
Publisher : Springer Nature
ISBN 13 : 9811552851
Total Pages : 625 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Intelligence in Big Data Technologies—Beyond the Hype by : J. Dinesh Peter

Download or read book Intelligence in Big Data Technologies—Beyond the Hype written by J. Dinesh Peter and published by Springer Nature. This book was released on 2020-07-25 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Yuxin Peng
Publisher : Springer
ISBN 13 : 3030026981
Total Pages : 692 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Intelligence Science and Big Data Engineering by : Yuxin Peng

Download or read book Intelligence Science and Big Data Engineering written by Yuxin Peng and published by Springer. This book was released on 2018-11-08 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : Springer
ISBN 13 : 3642420575
Total Pages : 924 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Intelligence Science and Big Data Engineering by : Changyin Sun

Download or read book Intelligence Science and Big Data Engineering written by Changyin Sun and published by Springer. This book was released on 2013-11-18 with total page 924 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : Springer
ISBN 13 : 3319677772
Total Pages : 691 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Intelligence Science and Big Data Engineering by : Yi Sun

Download or read book Intelligence Science and Big Data Engineering written by Yi Sun and published by Springer. This book was released on 2017-09-14 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Big Data and Machine Learning

Author : Zhen Cui
Publisher : Springer Nature
ISBN 13 : 3030362043
Total Pages : 455 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Intelligence Science and Big Data Engineering. Big Data and Machine Learning by : Zhen Cui

Download or read book Intelligence Science and Big Data Engineering. Big Data and Machine Learning written by Zhen Cui and published by Springer Nature. This book was released on 2019-11-28 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Visual Data Engineering

Author : Zhen Cui
Publisher : Springer Nature
ISBN 13 : 3030361896
Total Pages : 594 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Intelligence Science and Big Data Engineering. Visual Data Engineering by : Zhen Cui

Download or read book Intelligence Science and Big Data Engineering. Visual Data Engineering written by Zhen Cui and published by Springer Nature. This book was released on 2019-11-28 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : Springer
ISBN 13 : 3319239899
Total Pages : 661 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Intelligence Science and Big Data Engineering. Image and Video Data Engineering by : Xiaofei He

Download or read book Intelligence Science and Big Data Engineering. Image and Video Data Engineering written by Xiaofei He and published by Springer. This book was released on 2015-10-13 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Techniques

Author : Xiaofei He
Publisher : Springer
ISBN 13 : 3319238620
Total Pages : 627 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques by : Xiaofei He

Download or read book Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques written by Xiaofei He and published by Springer. This book was released on 2015-10-13 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Techniques

Author : Xiaofei He
Publisher :
ISBN 13 : 9783319238630
Total Pages : pages
Book Rating : 4.2/5 (386 download)

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Book Synopsis Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques by : Xiaofei He

Download or read book Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques written by Xiaofei He and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Artificial Intelligence and Data Engineering

Author : Niranjan N. Chiplunkar
Publisher : Springer Nature
ISBN 13 : 9811535140
Total Pages : 1456 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Artificial Intelligence and Data Engineering by : Niranjan N. Chiplunkar

Download or read book Advances in Artificial Intelligence and Data Engineering written by Niranjan N. Chiplunkar and published by Springer Nature. This book was released on 2020-08-13 with total page 1456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligence Science and Big Data Engineering. Visual Data Engineering

Author : Zhen Cui
Publisher : Springer
ISBN 13 : 9783030361884
Total Pages : 577 pages
Book Rating : 4.3/5 (618 download)

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Book Synopsis Intelligence Science and Big Data Engineering. Visual Data Engineering by : Zhen Cui

Download or read book Intelligence Science and Big Data Engineering. Visual Data Engineering written by Zhen Cui and published by Springer. This book was released on 2019-11-29 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Recent Advances in Artificial Intelligence and Data Engineering

Author : Pushparaj Shetty D.
Publisher :
ISBN 13 : 9789811633430
Total Pages : 0 pages
Book Rating : 4.6/5 (334 download)

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Book Synopsis Recent Advances in Artificial Intelligence and Data Engineering by : Pushparaj Shetty D.

Download or read book Recent Advances in Artificial Intelligence and Data Engineering written by Pushparaj Shetty D. and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Author : Arun Kumar Sangaiah
Publisher : Academic Press
ISBN 13 : 0128133279
Total Pages : 362 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications by : Arun Kumar Sangaiah

Download or read book Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications written by Arun Kumar Sangaiah and published by Academic Press. This book was released on 2018-08-21 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application

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

Author : Xiaofei He
Publisher :
ISBN 13 : 9783319239880
Total Pages : pages
Book Rating : 4.2/5 (398 download)

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Book Synopsis Intelligence Science and Big Data Engineering. Image and Video Data Engineering by : Xiaofei He

Download or read book Intelligence Science and Big Data Engineering. Image and Video Data Engineering written by Xiaofei He and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Science

Author : John D. Kelleher
Publisher : MIT Press
ISBN 13 : 0262535432
Total Pages : 282 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Data Science by : John D. Kelleher

Download or read book Data Science written by John D. Kelleher and published by MIT Press. This book was released on 2018-04-13 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

Machine Learning and Data Science

Author : Prateek Agrawal
Publisher : John Wiley & Sons
ISBN 13 : 1119776473
Total Pages : 276 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning and Data Science by : Prateek Agrawal

Download or read book Machine Learning and Data Science written by Prateek Agrawal and published by John Wiley & Sons. This book was released on 2022-07-25 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

Foundations of Data Science for Engineering Problem Solving

Author : Parikshit Narendra Mahalle
Publisher : Springer Nature
ISBN 13 : 9811651604
Total Pages : 125 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Foundations of Data Science for Engineering Problem Solving by : Parikshit Narendra Mahalle

Download or read book Foundations of Data Science for Engineering Problem Solving written by Parikshit Narendra Mahalle and published by Springer Nature. This book was released on 2021-08-21 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.