Intelligence Science and Big Data Engineering Visual Data Engineering

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.

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Author: Zhen Cui

Publisher: Springer Nature

ISBN: 9783030361891

Category: Computers

Page: 577

View: 746

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

IScIDE 2018, the International Conference on Intelligence Science and Big Data
Engineering, took place in Lanzhou, China, during August 18–19 2018. As one of
the annual events organized by the Chinese Golden Triangle ISIS (Information ...

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Author: Yuxin Peng

Publisher: Springer

ISBN: 9783030026981

Category: Computers

Page: 685

View: 593

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

IScIDE 2013, the International Conference on Intelligence Science and Big Data
Engineering, took place in Beijing, China, July 31 to August 2, 2013. As one of
the annual events organized by the Chinese Golden Triangle ISIS (Information ...

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Author: Changyin Sun

Publisher: Springer

ISBN: 9783642420573

Category: Computers

Page: 908

View: 932

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

Preface. IScIDE 2017, the International Conference on Intelligence Science and
Big Data Engineering, took place in Dalian, China, during September 22–23,
2017. As one of the annual events organized by the Chinese Golden Triangle
ISIS ...

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Author: Yi Sun

Publisher: Springer

ISBN: 9783319677774

Category: Computers

Page: 689

View: 226

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 Image and Video Data Engineering

IScIDE 2015, the International Conference on Intelligence Science and Big Data
Engineering, took place in Suzhou, China, June 14–16, 2015. As one of the
annual events organized by the Chinese Golden Triangle ISIS (Information
Science ...

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Author: Xiaofei He

Publisher: Springer

ISBN: 9783319239897

Category: Computers

Page: 661

View: 166

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

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.

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Author: Xiaofei He

Publisher: Springer

ISBN: 3319238612

Category: Computers

Page: 627

View: 286

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.

Intelligent Data Engineering and Automated Learning IDEAL 2013

Swarm Intelligence in Big Data Analytics Shi Cheng1,⋆, Yuhui Shi2, Quande
Qin3, and Ruibin Bai1 1 Division of Computer Science, University of Nottingham
Ningbo, China 2 Department of Electrical & Electronic Engineering, Xi'an ...

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Author: Hujun Yin

Publisher: Springer

ISBN: 9783642412783

Category: Computers

Page: 639

View: 676

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.

Data Science and Big Data Analytics

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing.

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Author: Durgesh Kumar Mishra

Publisher: Springer

ISBN: 9789811076411

Category: Computers

Page: 406

View: 512

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.

Intelligent Data Engineering and Automated Learning IDEAL 2018

This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November ...

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Author: Hujun Yin

Publisher: Springer

ISBN: 9783030034962

Category: Computers

Page: 349

View: 703

This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.

Data Science Foundations Data Engineering

Data science expert Ben Sullins explains the basics of big data and demonstrates how to perform core data engineering tasks including staging, profiling, cleansing, and migrating data.

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Author:

Publisher:

ISBN: OCLC:1117197340

Category:

Page:

View: 733

Data science expert Ben Sullins explains the basics of big data and demonstrates how to perform core data engineering tasks including staging, profiling, cleansing, and migrating data.

Cognitive Computing for Big Data Systems Over IoT

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT).

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Author: Arun Kumar Sangaiah

Publisher: Springer

ISBN: 9783319706887

Category: Computers

Page: 375

View: 918

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.

Big Data in Engineering Applications

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences.

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Author: Sanjiban Sekhar Roy

Publisher: Springer

ISBN: 9789811084768

Category: Computers

Page: 384

View: 393

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.

Big Data Cloud Computing and Data Science Engineering

This edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) which was held on May 29–31, 2019 in Honolulu, Hawaii.

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Author: Roger Lee

Publisher: Springer

ISBN: 3030244075

Category: Computers

Page: 214

View: 670

This edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) which was held on May 29–31, 2019 in Honolulu, Hawaii. The aim of the conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Presenting 15 of the conference’s most promising papers, the book discusses all aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them.

Data Engineering and Applications

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking.

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Author: Rajesh Kumar Shukla

Publisher: Springer

ISBN: 9789811363474

Category: Computers

Page: 191

View: 260

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications.

Big Data

... Division on Engineering and Physical Sciences, Committee for Science and
Technology Challenges to U.S. National Security Interests. 20 REPORT OF A
WORKSHOP ON BIG DATA global mobility intelligence units. Operationally she
led ...

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Author: National Research Council

Publisher: National Academies Press

ISBN: 9780309266888

Category: Computers

Page: 34

View: 655

In 2012, the Defense Intelligence Agency (DIA) approached the National Research Council's TIGER standing committee and asked it to develop a list of workshop topics to explore the impact of emerging science and technology. From the list of topics given to DIA, three were chosen to be developed by the Committee for Science and Technology Challenges to U.S. National Security Interests. The first in a series of three workshops was held on April 23-24, 2012. This report summarizes that first workshop which explored the phenomenon known as big data. The objective for the first workshop is given in the statement of task, which explains that that workshop will review emerging capabilities in large computational data to include speed, data fusion, use, and commodification of data used in decision making. The workshop will also review the subsequent increase in vulnerabilities over the capabilities gained and the significance to national security. The committee devised an agenda that helped the committee, sponsors, and workshop attendees probe issues of national security related to so-called big data, as well as gain understanding of potential related vulnerabilities. The workshop was used to gather data that is described in this report, which presents views expressed by individual workshop participants. Big Data: A Workshop Report is the first in a series of three workshops, held in early 2012 to further the ongoing engagement among the National Research Council's (NRC's) Technology Insight-Gauge, Evaluate, and Review (TIGER) Standing Committee, the scientific and technical intelligence (S&TI) community, and the consumers of S&TI products.

Intelligent Data Engineering and Automated Learning IDEAL 2014

... Héctor Quintián, Hujun Yin. Towards Data Mart Building from Social Network
for Opinion Analysis Imen Moalla and Ahlem Nabli Sfax University, Faculty of
Science, Road Sokra Km 3 BP 1171, 3000 Tunisia MIRACL Laboratory, Sfax,
Tunisia ...

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Author: Emilio Corchado

Publisher: Springer

ISBN: 9783319108407

Category: Computers

Page: 508

View: 180

This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014. The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.

Intelligent Computing and Applications

This AISC volume contains the papers presented at the First International
Conference on Intelligent Computing and Application ... Data Mining and
Computational Life Sciences, Management of Data including Big Data and
Analytics, Distributed and Mobile Systems ... Web Security, Privacy and E-
Commerce, E-governance, Service Orient Architecture, Data Engineering, Open
Systems, Optimization, ...

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Author: Durbadal Mandal

Publisher: Springer

ISBN: 9788132222682

Category: Computers

Page: 627

View: 419

The idea of the 1st International Conference on Intelligent Computing and Applications (ICICA 2014) is to bring the Research Engineers, Scientists, Industrialists, Scholars and Students together from in and around the globe to present the on-going research activities and hence to encourage research interactions between universities and industries. The conference provides opportunities for the delegates to exchange new ideas, applications and experiences, to establish research relations and to find global partners for future collaboration. The proceedings covers latest progresses in the cutting-edge research on various research areas of Image, Language Processing, Computer Vision and Pattern Recognition, Machine Learning, Data Mining and Computational Life Sciences, Management of Data including Big Data and Analytics, Distributed and Mobile Systems including Grid and Cloud infrastructure, Information Security and Privacy, VLSI, Electronic Circuits, Power Systems, Antenna, Computational fluid dynamics & Heat transfer, Intelligent Manufacturing, Signal Processing, Intelligent Computing, Soft Computing, Bio-informatics, Bio Computing, Web Security, Privacy and E-Commerce, E-governance, Service Orient Architecture, Data Engineering, Open Systems, Optimization, Communications, Smart wireless and sensor Networks, Smart Antennae, Networking and Information security, Machine Learning, Mobile Computing and Applications, Industrial Automation and MES, Cloud Computing, Green IT, IT for Rural Engineering, Business Computing, Business Intelligence, ICT for Education for solving hard problems, and finally to create awareness about these domains to a wider audience of practitioners.

Intelligent Data Engineering and Automated Learning IDEAL 2004

Boosting Orthogonal Least Squares Regression Xunxian Wang and David J.
Brown Computer Intelligence & Applications ... of a learning machine is its
generalization ability, especially in the situation when the training set is not big
enough.

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Author: Zhen Rong Yang

Publisher: Springer Science & Business Media

ISBN: 9783540228813

Category: Computers

Page: 852

View: 205

This book constitutes the refereed proceedings of the 5th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2004, held in Exeter, UK, in August 2004. The 124 revised full papers presented were carefully reviewed and selected from 272 submissions. The papers are organized in topical sections on bioinformatics, data mining and knowledge engineering, learning algorithms and systems, financial engineering, and agent technologies.

Application of Big Data for National Security

Babak Akhgar is professor of informatics and director of the Centre of Excellence
in Terrorism, Resilience, Intelligence and Organised ... Dr Saathoff also holds the
position of visiting professor in the Faculty of Arts, Computing, Engineering and
Sciences at Sheffield Hallam University. ... big data analytics, and applications in
medical imaging, knowledge engineering, security and surveillance systems, and
 ...

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Author: Babak Akhgar

Publisher: Butterworth-Heinemann

ISBN: 9780128019733

Category: Political Science

Page: 316

View: 700

Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context Indicates future directions for Big Data as an enabler of advanced crime prevention and detection

Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing

In this paper, we present a new knowledge extraction method on Big data era. ...
We information science researchers have already constructed data sensing,
aggregation, retrieval, analysis, and visualization environment by web portals, ...

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Author: Roger Lee

Publisher: Springer

ISBN: 9783319103891

Category: Computers

Page: 195

View: 412

This edited book presents scientific results of 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2014) held on June 30 – July 2, 2014 in Las Vegas Nevada, USA. The aim of this conference was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas, research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the 13 outstanding papers from those papers accepted for presentation at the conference.