Computational Intelligence And Feature Selection

Download Computational Intelligence And Feature Selection full books in PDF, epub, and Kindle. Read online Computational Intelligence And Feature Selection ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Computational Intelligence and Feature Selection

Author : Richard Jensen
Publisher : John Wiley & Sons
ISBN 13 : 0470377917
Total Pages : 357 pages
Book Rating : 4.4/5 (73 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence and Feature Selection by : Richard Jensen

Download or read book Computational Intelligence and Feature Selection written by Richard Jensen and published by John Wiley & Sons. This book was released on 2008-10-03 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rough and fuzzy set approaches presented here open up many new frontiers for continued research and development Computational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rough and fuzzy sets. For readers who are less familiar with the subject, the book begins with an introduction to fuzzy set theory and fuzzy-rough set theory. Building on this foundation, the book provides: A critical review of FS methods, with particular emphasis on their current limitations Program files implementing major algorithms, together with the necessary instructions and datasets, available on a related Web site Coverage of the background and fundamental ideas behind FS A systematic presentation of the leading methods reviewed in a consistent algorithmic framework Real-world applications with worked examples that illustrate the power and efficacy of the FS approaches covered An investigation of the associated areas of FS, including rule induction and clustering methods using hybridizations of fuzzy and rough set theories Computational Intelligence and Feature Selection is an ideal resource for advanced undergraduates, postgraduates, researchers, and professional engineers. However, its straightforward presentation of the underlying concepts makes the book meaningful to specialists and nonspecialists alike.

Computational Intelligence and Healthcare Informatics

Author : Om Prakash Jena
Publisher : John Wiley & Sons
ISBN 13 : 1119818680
Total Pages : 434 pages
Book Rating : 4.1/5 (198 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence and Healthcare Informatics by : Om Prakash Jena

Download or read book Computational Intelligence and Healthcare Informatics written by Om Prakash Jena and published by John Wiley & Sons. This book was released on 2021-10-19 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.

Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

Author : Laith Mohammad Qasim Abualigah
Publisher : Springer
ISBN 13 : 3030106748
Total Pages : 186 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering by : Laith Mohammad Qasim Abualigah

Download or read book Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering written by Laith Mohammad Qasim Abualigah and published by Springer. This book was released on 2018-12-18 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book puts forward a new method for solving the text document (TD) clustering problem, which is established in two main stages: (i) A new feature selection method based on a particle swarm optimization algorithm with a novel weighting scheme is proposed, as well as a detailed dimension reduction technique, in order to obtain a new subset of more informative features with low-dimensional space. This new subset is subsequently used to improve the performance of the text clustering (TC) algorithm and reduce its computation time. The k-mean clustering algorithm is used to evaluate the effectiveness of the obtained subsets. (ii) Four krill herd algorithms (KHAs), namely, the (a) basic KHA, (b) modified KHA, (c) hybrid KHA, and (d) multi-objective hybrid KHA, are proposed to solve the TC problem; each algorithm represents an incremental improvement on its predecessor. For the evaluation process, seven benchmark text datasets are used with different characterizations and complexities. Text document (TD) clustering is a new trend in text mining in which the TDs are separated into several coherent clusters, where all documents in the same cluster are similar. The findings presented here confirm that the proposed methods and algorithms delivered the best results in comparison with other, similar methods to be found in the literature.

Advances in Web Intelligence and Data Mining

Author : Mark Last
Publisher : Springer
ISBN 13 : 3540338802
Total Pages : 350 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Advances in Web Intelligence and Data Mining by : Mark Last

Download or read book Advances in Web Intelligence and Data Mining written by Mark Last and published by Springer. This book was released on 2006-08-11 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art developments in the area of computationally intelligent methods applied to various aspects and ways of Web exploration and Web mining. Some novel data mining algorithms that can lead to more effective and intelligent Web-based systems are also described. Scientists, engineers, and research students can expect to find many inspiring ideas in this volume.

Feature Selection for Data and Pattern Recognition

Author : Urszula Stańczyk
Publisher : Springer
ISBN 13 : 9783662508459
Total Pages : 0 pages
Book Rating : 4.5/5 (84 download)

DOWNLOAD NOW!

Book Synopsis Feature Selection for Data and Pattern Recognition by : Urszula Stańczyk

Download or read book Feature Selection for Data and Pattern Recognition written by Urszula Stańczyk and published by Springer. This book was released on 2016-09-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.

Handbook of Research on Machine and Deep Learning Applications for Cyber Security

Author : Ganapathi, Padmavathi
Publisher : IGI Global
ISBN 13 : 1522596135
Total Pages : 506 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Machine and Deep Learning Applications for Cyber Security by : Ganapathi, Padmavathi

Download or read book Handbook of Research on Machine and Deep Learning Applications for Cyber Security written by Ganapathi, Padmavathi and published by IGI Global. This book was released on 2019-07-26 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the advancement of technology continues, cyber security continues to play a significant role in todays world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

Computational Methods of Feature Selection

Author : Huan Liu
Publisher : CRC Press
ISBN 13 : 1584888792
Total Pages : 437 pages
Book Rating : 4.5/5 (848 download)

DOWNLOAD NOW!

Book Synopsis Computational Methods of Feature Selection by : Huan Liu

Download or read book Computational Methods of Feature Selection written by Huan Liu and published by CRC Press. This book was released on 2007-10-29 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issues, Computational Methods of Feature Selection introduces the

Artificial Intelligence and Soft Computing, Part I

Author : Leszek Rutkowski
Publisher : Springer
ISBN 13 : 3642132081
Total Pages : 695 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Soft Computing, Part I by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing, Part I written by Leszek Rutkowski and published by Springer. This book was released on 2010-06-20 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 10th International Conference on Artificial Intelligence and Soft Computing, ICAISC'2010, held in Zakopane, Poland in June 13-17, 2010. The articles are organized in topical sections on Fuzzy Systems and Their Applications; Data Mining, Classification and Forecasting; Image and Speech Analysis; Bioinformatics and Medical Applications (Volume 6113) together with Neural Networks and Their Applications; Evolutionary Algorithms and Their Applications; Agent System, Robotics and Control; Various Problems aof Artificial Intelligence (Volume 6114).

Feature Selection for Knowledge Discovery and Data Mining

Author : Huan Liu
Publisher : Springer Science & Business Media
ISBN 13 : 1461556899
Total Pages : 225 pages
Book Rating : 4.4/5 (615 download)

DOWNLOAD NOW!

Book Synopsis Feature Selection for Knowledge Discovery and Data Mining by : Huan Liu

Download or read book Feature Selection for Knowledge Discovery and Data Mining written by Huan Liu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: As computer power grows and data collection technologies advance, a plethora of data is generated in almost every field where computers are used. The com puter generated data should be analyzed by computers; without the aid of computing technologies, it is certain that huge amounts of data collected will not ever be examined, let alone be used to our advantages. Even with today's advanced computer technologies (e. g. , machine learning and data mining sys tems), discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Taking its simplest form, raw data are represented in feature-values. The size of a dataset can be measUJ·ed in two dimensions, number of features (N) and number of instances (P). Both Nand P can be enormously large. This enormity may cause serious problems to many data mining systems. Feature selection is one of the long existing methods that deal with these problems. Its objective is to select a minimal subset of features according to some reasonable criteria so that the original task can be achieved equally well, if not better. By choosing a minimal subset offeatures, irrelevant and redundant features are removed according to the criterion. When N is reduced, the data space shrinks and in a sense, the data set is now a better representative of the whole data population. If necessary, the reduction of N can also give rise to the reduction of P by eliminating duplicates.

Computational Intelligence

Author : Russell C. Eberhart
Publisher : Elsevier
ISBN 13 : 0080553834
Total Pages : 543 pages
Book Rating : 4.0/5 (85 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence by : Russell C. Eberhart

Download or read book Computational Intelligence written by Russell C. Eberhart and published by Elsevier. This book was released on 2011-04-18 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook on the subject, supported with lots of practical examples. It asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence. This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective. The book moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific con. It explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation. It details the metrics and analytical tools needed to assess the performance of computational intelligence tools. The book concludes with a series of case studies that illustrate a wide range of successful applications. This book will appeal to professional and academic researchers in computational intelligence applications, tool development, and systems. - Moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific concepts and paradigms that inform the authors' methodologies - Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation - Details the metrics and analytical tools needed to assess the performance of computational intelligence tools - Concludes with a series of case studies that illustrate a wide range of successful applications - Presents code examples in C and C++ - Provides, at the end of each chapter, review questions and exercises suitable for graduate students, as well as researchers and practitioners engaged in self-study

Computational Intelligence for Pattern Recognition

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 3319896296
Total Pages : 431 pages
Book Rating : 4.3/5 (198 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence for Pattern Recognition by : Witold Pedrycz

Download or read book Computational Intelligence for Pattern Recognition written by Witold Pedrycz and published by Springer. This book was released on 2018-04-30 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and algorithmic issues, as well as implementations and case studies, and identifies the best design practices, assesses business models and practices of pattern recognition in real-world applications in industry, health care, administration, and business. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The collection of contributions included in this book offers a representative overview of the advances in the area, with timely, in-depth and comprehensive material on the conceptually appealing and practically sound methodology and practices of CI-based pattern recognition.

Recent Trends in Computational Intelligence Enabled Research

Author : Siddhartha Bhattacharyya
Publisher : Academic Press
ISBN 13 : 0323851797
Total Pages : 420 pages
Book Rating : 4.3/5 (238 download)

DOWNLOAD NOW!

Book Synopsis Recent Trends in Computational Intelligence Enabled Research by : Siddhartha Bhattacharyya

Download or read book Recent Trends in Computational Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2021-07-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. - Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques - Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence - Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799880990
Total Pages : 1534 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms by : Management Association, Information Resources

Download or read book Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-12-05 with total page 1534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems. This automatic aspect of the algorithms and the mimicking of natural selection and genetics makes genetic programming an intelligent component of problem solving that is highly regarded for its efficiency and vast capabilities. With the ability to be modified and adapted, easily distributed, and effective in large-scale/wide variety of problems, genetic algorithms and programming can be utilized in many diverse industries. This multi-industry uses vary from finance and economics to business and management all the way to healthcare and the sciences. The use of genetic programming and algorithms goes beyond human capabilities, enhancing the business and processes of various essential industries and improving functionality along the way. The Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms covers the implementation, tools and technologies, and impact on society that genetic programming and algorithms have had throughout multiple industries. By taking a multi-industry approach, this book covers the fundamentals of genetic programming through its technological benefits and challenges along with the latest advancements and future outlooks for computer science. This book is ideal for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.

Advances in Security of Information and Communication Networks

Author : Ali Ismail Awad
Publisher : Springer
ISBN 13 : 3642405975
Total Pages : 260 pages
Book Rating : 4.6/5 (424 download)

DOWNLOAD NOW!

Book Synopsis Advances in Security of Information and Communication Networks by : Ali Ismail Awad

Download or read book Advances in Security of Information and Communication Networks written by Ali Ismail Awad and published by Springer. This book was released on 2013-08-15 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Advances in Security of Information and Communication Networks, Sec Net 2013, held in Cairo, Egypt, in September 2013. The 21 revised full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on networking security; data and information security; authentication and privacy; security applications.

Computational Intelligence for Machine Learning and Healthcare Informatics

Author : Rajshree Srivastava
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110648199
Total Pages : 348 pages
Book Rating : 4.1/5 (16 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence for Machine Learning and Healthcare Informatics by : Rajshree Srivastava

Download or read book Computational Intelligence for Machine Learning and Healthcare Informatics written by Rajshree Srivastava and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-06-22 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

Artificial Intelligence for Renewable Energy Systems

Author : Ajay Kumar Vyas
Publisher : John Wiley & Sons
ISBN 13 : 1119761697
Total Pages : 276 pages
Book Rating : 4.1/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Renewable Energy Systems by : Ajay Kumar Vyas

Download or read book Artificial Intelligence for Renewable Energy Systems written by Ajay Kumar Vyas and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Current Topics in Artificial Intelligence

Author : Asociación Española de Inteligencia Artificial. Conferencia
Publisher : Springer Science & Business Media
ISBN 13 : 3540752706
Total Pages : 289 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Current Topics in Artificial Intelligence by : Asociación Española de Inteligencia Artificial. Conferencia

Download or read book Current Topics in Artificial Intelligence written by Asociación Española de Inteligencia Artificial. Conferencia and published by Springer Science & Business Media. This book was released on 2007-11-07 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2007, held in Salamanca, Spain, in November 2007, in conjunction with the 7th Workshop on Artificial Intelligence Technology Transfer, TTIA 2007. The 28 revised full papers presented were carefully selected during two rounds of reviewing and improvement from 134 submissions. The papers address all current issues of artificial intelligence ranging from methodological and foundational aspects to advanced applications in various fields.