Recent Advancements In Multi View Data Analytics

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer Nature
Page : 346 pages
File Size : 55,6 Mb
Release : 2022-05-20
Category : Computers
ISBN : 9783030952396

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Recent Advancements in Multi-View Data Analytics by Witold Pedrycz,Shyi-Ming Chen Pdf

This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clustering, consensus building in decision processes, computer vision, knowledge representation, big data, data streaming, among others. The chapters demonstrate recent pursuits in the methodology, theory, advanced algorithms, and applications of multi-view data analytics and bring new perspectives of data interpretation. The timely book will appeal to a broad readership including both researchers and practitioners interested in gaining exposure to the rapidly growing trend of multi-view data analytics and intelligent systems.

Author : Deepak P,Anna Jurek-Loughrey
Publisher : Springer
Page : 343 pages
File Size : 47,6 Mb
Release : 2019-02-04
Category : Technology & Engineering
ISBN : 3030018717

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Linking and Mining Heterogeneous and Multi-view Data by Deepak P,Anna Jurek-Loughrey Pdf

This book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of growth of data vastly outpacing any chance of labeling them manually. The book looks at the underlying algorithms and technologies that facilitate the area within big data analytics, it covers their applications across domains such as smarter transportation, social media, fake news detection and enterprise search among others. This book enables readers to understand a spectrum of advances in this emerging area, and it will hopefully empower them to leverage and develop methods in multi-source data fusion and analytics with applications to a variety of scenarios. Includes advances on unsupervised, semi-supervised and supervised approaches to heterogeneous data linkage and fusion; Covers use cases of analytics over multi-view and heterogeneous data from across a variety of domains such as fake news, smarter transportation and social media, among others; Provides a high-level overview of advances in this emerging field and empowers the reader to explore novel applications and methodologies that would enrich the field.

Author : Henry Han,Tie Wei,Wenbin Liu,Fei Han
Publisher : Springer Nature
Page : 295 pages
File Size : 52,5 Mb
Release : 2020-09-28
Category : Computers
ISBN : 9789811587603

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Recent Advances in Data Science by Henry Han,Tie Wei,Wenbin Liu,Fei Han Pdf

This book constitutes selected papers of the ​Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. The 19 full papers and 1 short paper were carefully reviewed and selected from 93 submissions. The papers are organized according to the following topical sections: business data science: fintech, management, and analytics.- health and biological data science.- novel data science theory and applications.

Author : Gilberto Rivera,Laura Cruz-Reyes,Bernabé Dorronsoro,Alejandro Rosete
Publisher : Springer Nature
Page : 597 pages
File Size : 53,9 Mb
Release : 2023-10-20
Category : Computers
ISBN : 9783031383250

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Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications by Gilberto Rivera,Laura Cruz-Reyes,Bernabé Dorronsoro,Alejandro Rosete Pdf

In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.

Author : Rozaida Ghazali,Mustafa Mat Deris,Nazri Mohd Nawi,Jemal H. Abawajy
Publisher : Springer
Page : 518 pages
File Size : 42,6 Mb
Release : 2018-01-11
Category : Technology & Engineering
ISBN : 9783319725505

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Recent Advances on Soft Computing and Data Mining by Rozaida Ghazali,Mustafa Mat Deris,Nazri Mohd Nawi,Jemal H. Abawajy Pdf

This book offers a systematic overview of the concepts and practical techniques that readers need to get the most out of their large-scale data mining projects and research studies. It guides them through the data-analytical thinking essential to extract useful information and obtain commercial value from the data. Presenting the outcomes of International Conference on Soft Computing and Data Mining (SCDM-2017), held in Johor, Malaysia on February 6–8, 2018, it provides a well-balanced integration of soft computing and data mining techniques. The two constituents are brought together in various combinations of applications and practices. To thrive in these data-driven ecosystems, researchers, engineers, data analysts, practitioners, and managers must understand the design choice and options of soft computing and data mining techniques, and as such this book is a valuable resource, helping readers solve complex benchmark problems and better appreciate the concepts, tools, and techniques employed.

Author : Ornella Cominetti,Sergio Oller Moreno,Sumeet Agarwal
Publisher : Frontiers Media SA
Page : 184 pages
File Size : 46,7 Mb
Release : 2023-05-12
Category : Science
ISBN : 9782832523421

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Advances in methods and tools for multi-omics data analysis by Ornella Cominetti,Sergio Oller Moreno,Sumeet Agarwal Pdf

Author : Jessnor Arif Mat Jizat,Ismail Mohd Khairuddin,Mohd Azraai Mohd Razman,Ahmad Fakhri Ab. Nasir,Mohamad Shaiful Abdul Karim,Abdul Aziz Jaafar,Lim Wei Hong,Anwar P. P. Abdul Majeed,Pengcheng Liu,Hyun Myung,Han-Lim Choi,Gian-Antonio Susto
Publisher : Springer Nature
Page : 415 pages
File Size : 44,5 Mb
Release : 2021-03-10
Category : Technology & Engineering
ISBN : 9783030709174

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Advances in Robotics, Automation and Data Analytics by Jessnor Arif Mat Jizat,Ismail Mohd Khairuddin,Mohd Azraai Mohd Razman,Ahmad Fakhri Ab. Nasir,Mohamad Shaiful Abdul Karim,Abdul Aziz Jaafar,Lim Wei Hong,Anwar P. P. Abdul Majeed,Pengcheng Liu,Hyun Myung,Han-Lim Choi,Gian-Antonio Susto Pdf

This book presents essentially a collection of proceedings that deliberate on the key challenges and recent trends on robotics, automation and data analytics which are the pillars of Industry 4.0. Solutions that are employed in the multitude spectra of innovative robotics & automation and data analytics are discussed. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from the book. This book consists of selected papers presented at the 2nd International Conference on Innovative Technology, Engineering and Sciences 2020 (iCITES) hosted virtually by Universiti Malaysia Pahang on 22nd December 2020. iCITES is a biennial conference, aimed at building a platform that allows relevant stakeholders to share and discuss their latest researches, ideas and survey reports from theoretical to a practical standpoint especially in the Innovative Robotics & Automation and Data Analytics tracks which was published in this book.

Author : Roumen Kountchev,Srikanta Patnaik,Junsheng Shi,Margarita N. Favorskaya
Publisher : Springer Nature
Page : 512 pages
File Size : 50,5 Mb
Release : 2020-04-20
Category : Technology & Engineering
ISBN : 9789811538674

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Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology by Roumen Kountchev,Srikanta Patnaik,Junsheng Shi,Margarita N. Favorskaya Pdf

This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The aim of the conference was to establish a platform for experts to combine their efforts and share their ideas in the related areas in order to promote and accelerate future development. This second volume discusses algorithms and applications, focusing mainly on the following topics: 3D printing technologies; naked, dynamic and auxiliary 3D displays; VR/AR/MR devices; VR camera technologies; microprocessors for 3D data processing; advanced 3D computing systems; 3D data-storage technologies; 3D data networks and technologies; 3D data intelligent processing; 3D data cryptography and security; 3D visual quality estimation and measurement; and 3D decision support and information systems.

Author : Zhengming Ding,Handong Zhao,Yun Fu
Publisher : Springer
Page : 268 pages
File Size : 44,7 Mb
Release : 2018-12-06
Category : Computers
ISBN : 9783030007348

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Learning Representation for Multi-View Data Analysis by Zhengming Ding,Handong Zhao,Yun Fu Pdf

This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal. A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.

Author : Bader Alyoubi,Chiheb-Eddine Ben Ncir,Ibraheem Alharbi,Anis Jarboui
Publisher : Springer Nature
Page : 214 pages
File Size : 40,5 Mb
Release : 2022-12-15
Category : Technology & Engineering
ISBN : 9783031184833

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Machine Learning and Data Analytics for Solving Business Problems by Bader Alyoubi,Chiheb-Eddine Ben Ncir,Ibraheem Alharbi,Anis Jarboui Pdf

This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for companies to understand the market environment, to improve the analysis of customer needs, to propose creative personalization of contents, and to design more effective business strategies, products, and services. This book gives an overview of recent methods – such as blockchain, big data, artificial intelligence, and cloud computing – so readers can rapidly explore them and their applications to solve common business challenges. The book aims to empower readers to leverage and develop creative supervised and unsupervised methods to solve business decision-making problems.

Author : Taniar, David,Iwan, Lukman Hakim
Publisher : IGI Global
Page : 465 pages
File Size : 50,6 Mb
Release : 2011-12-31
Category : Computers
ISBN : 9781613504758

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Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends by Taniar, David,Iwan, Lukman Hakim Pdf

"This book is an updated look at the state of technology in the field of data mining and analytics offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining"--Provided by publisher.

Author : Nalini K Ratha,Vishal M. Patel,Rama Chellappa
Publisher : Springer Nature
Page : 405 pages
File Size : 48,6 Mb
Release : 2021-08-16
Category : Computers
ISBN : 9783030746971

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Deep Learning-Based Face Analytics by Nalini K Ratha,Vishal M. Patel,Rama Chellappa Pdf

This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field. Even though there have been a number of different approaches proposed in the literature for face recognition based on deep learning methods, there is not a single book available in the literature that gives a complete overview of these methods. The proposed book captures the state of the art in face recognition using various deep learning methods, and it covers a variety of different topics related to face recognition. This book is aimed at graduate students studying electrical engineering and/or computer science. Biometrics is a course that is widely offered at both undergraduate and graduate levels at many institutions around the world: This book can be used as a textbook for teaching topics related to face recognition. In addition, the work is beneficial to practitioners in industry who are working on biometrics-related problems. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra.

Author : Tongliang Liu,Geoff Webb,Lin Yue,Dadong Wang
Publisher : Springer Nature
Page : 574 pages
File Size : 52,5 Mb
Release : 2023-11-26
Category : Computers
ISBN : 9789819983889

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AI 2023: Advances in Artificial Intelligence by Tongliang Liu,Geoff Webb,Lin Yue,Dadong Wang Pdf

This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 – December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm.

Author : Huchuan Lu,Huajin Tang,Zhanshan Wang
Publisher : Springer
Page : 499 pages
File Size : 44,6 Mb
Release : 2019-06-26
Category : Computers
ISBN : 9783030227968

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Advances in Neural Networks – ISNN 2019 by Huchuan Lu,Huajin Tang,Zhanshan Wang Pdf

This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.

Author : Xin Jin,Jingyu Hou,Zhou Wei,Shin-Jye Lee
Publisher : Frontiers Media SA
Page : 180 pages
File Size : 54,6 Mb
Release : 2023-06-27
Category : Science
ISBN : 9782832524596

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Recent Advances in Image Fusion and Quality Improvement for Cyber-Physical Systems by Xin Jin,Jingyu Hou,Zhou Wei,Shin-Jye Lee Pdf