Intelligent Science And Intelligent Data Engineering

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Intelligent Data Engineering and Automated Learning – IDEAL 2020

Author : Cesar Analide,Paulo Novais,David Camacho,Hujun Yin
Publisher : Springer Nature
Page : 633 pages
File Size : 47,9 Mb
Release : 2020-10-29
Category : Computers
ISBN : 9783030623654

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Intelligent Data Engineering and Automated Learning – IDEAL 2020 by Cesar Analide,Paulo Novais,David Camacho,Hujun Yin Pdf

This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.

Intelligent Science and Intelligent Data Engineering

Author : Jian Yang,Fang Fang,Changyin Sun
Publisher : Springer
Page : 880 pages
File Size : 43,9 Mb
Release : 2013-02-11
Category : Computers
ISBN : 9783642366697

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Intelligent Science and Intelligent Data Engineering by Jian Yang,Fang Fang,Changyin Sun Pdf

This book constitutes the proceedings of the third Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2012, held in Nanjing, China, in October 2012. The 105 papers presented were carefully peer-reviewed and selected from 429 submissions. Topics covered include pattern recognition; computer vision and image processing; machine learning and computational intelligence; knowledge discovery, data mining, and web mining; graphics and computer visualization; and multimedia processing and applications.

Intelligent Data Engineering and Analytics

Author : Suresh Chandra Satapathy,Yu-Dong Zhang,Vikrant Bhateja,Ritanjali Majhi
Publisher : Springer Nature
Page : 758 pages
File Size : 40,5 Mb
Release : 2020-08-29
Category : Technology & Engineering
ISBN : 9789811556791

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Intelligent Data Engineering and Analytics by Suresh Chandra Satapathy,Yu-Dong Zhang,Vikrant Bhateja,Ritanjali Majhi Pdf

This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4–5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines.

Intelligent Science and Intelligent Data Engineering

Author : Yanning Zhang,Zhi-Hua Zhou,Changshui Zhang,Ying Li
Publisher : Springer
Page : 772 pages
File Size : 52,7 Mb
Release : 2012-07-23
Category : Computers
ISBN : 9783642319198

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Intelligent Science and Intelligent Data Engineering by Yanning Zhang,Zhi-Hua Zhou,Changshui Zhang,Ying Li Pdf

This book constitutes the proceedings of the Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2011, held in Xi'an, China, in October 2011. The 97 papers presented were carefully peer-reviewed and selected from 389 submissions. The IScIDE papers in this volume are organized in topical sections on machine learning and computational intelligence; pattern recognition; computer vision and image processing; graphics and computer visualization; knowledge discovering, data mining, web mining; multimedia processing and application.

Intelligent Data Engineering and Automated Learning – IDEAL 2018

Author : Hujun Yin,David Camacho,Paulo Novais,Antonio J. Tallón-Ballesteros
Publisher : Springer
Page : 364 pages
File Size : 51,8 Mb
Release : 2018-11-08
Category : Computers
ISBN : 9783030034962

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Intelligent Data Engineering and Automated Learning – IDEAL 2018 by Hujun Yin,David Camacho,Paulo Novais,Antonio J. Tallón-Ballesteros Pdf

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.

Intelligent Data Engineering and Automated Learning

Author : Jiming Liu,Yiuming Cheung
Publisher : Springer Science & Business Media
Page : 1161 pages
File Size : 53,9 Mb
Release : 2003-07-29
Category : Business & Economics
ISBN : 9783540405504

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Intelligent Data Engineering and Automated Learning by Jiming Liu,Yiuming Cheung Pdf

This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.

Guide to Intelligent Data Science

Author : Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn,Rosaria Silipo
Publisher : Springer Nature
Page : 427 pages
File Size : 43,9 Mb
Release : 2020-08-06
Category : Computers
ISBN : 9783030455743

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Guide to Intelligent Data Science by Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn,Rosaria Silipo Pdf

Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results. Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website. This practical and systematic textbook/reference is a “need-to-have” tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a “need to use, need to keep” resource following one's exploration of the subject.

Intelligent Data Engineering and Automated Learning – IDEAL 2019

Author : Hujun Yin,David Camacho,Peter Tino,Antonio J. Tallón-Ballesteros,Ronaldo Menezes,Richard Allmendinger
Publisher : Springer Nature
Page : 376 pages
File Size : 42,8 Mb
Release : 2019-11-07
Category : Computers
ISBN : 9783030336172

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Intelligent Data Engineering and Automated Learning – IDEAL 2019 by Hujun Yin,David Camacho,Peter Tino,Antonio J. Tallón-Ballesteros,Ronaldo Menezes,Richard Allmendinger Pdf

This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

Intelligent Data Analysis

Author : Michael R. Berthold,David J Hand
Publisher : Springer
Page : 515 pages
File Size : 40,8 Mb
Release : 2007-06-07
Category : Computers
ISBN : 9783540486251

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Intelligent Data Analysis by Michael R. Berthold,David J Hand Pdf

This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.

Intelligent Techniques for Data Science

Author : Rajendra Akerkar,Priti Srinivas Sajja
Publisher : Springer
Page : 272 pages
File Size : 41,7 Mb
Release : 2016-10-11
Category : Computers
ISBN : 9783319292069

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Intelligent Techniques for Data Science by Rajendra Akerkar,Priti Srinivas Sajja Pdf

This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p> The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real‐world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.

Intelligence Science and Big Data Engineering

Author : Yi Sun,Huchuan Lu,Lihe Zhang,Jian Yang,Hua Huang
Publisher : Springer
Page : 691 pages
File Size : 54,7 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.

Intelligent Data Analysis

Author : Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar
Publisher : John Wiley & Sons
Page : 428 pages
File Size : 46,9 Mb
Release : 2020-07-13
Category : Technology & Engineering
ISBN : 9781119544456

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Intelligent Data Analysis by Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar Pdf

This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.

Intelligence Science and Big Data Engineering

Author : Yuxin Peng,Kai Yu,Jiwen Lu,Xingpeng Jiang
Publisher : Springer
Page : 692 pages
File Size : 43,6 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. Big Data and Machine Learning

Author : Zhen Cui,Jinshan Pan,Shanshan Zhang,Liang Xiao,Jian Yang
Publisher : Springer Nature
Page : 455 pages
File Size : 51,6 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.

Trends in Data Engineering Methods for Intelligent Systems

Author : Jude Hemanth,Tuncay Yigit,Bogdan Patrut,Anastassia Angelopoulou
Publisher : Springer Nature
Page : 797 pages
File Size : 44,9 Mb
Release : 2021-07-05
Category : Computers
ISBN : 9783030793579

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Trends in Data Engineering Methods for Intelligent Systems by Jude Hemanth,Tuncay Yigit,Bogdan Patrut,Anastassia Angelopoulou Pdf

This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey). The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics.