Advances In Feature Selection For Data And Pattern Recognition

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Advances in Feature Selection for Data and Pattern Recognition

Urszula Stańczyk,Beata Zielosko,Lakhmi C. Jain
Advances in Feature Selection for Data and Pattern Recognition Book PDF

Author : Urszula Stańczyk,Beata Zielosko,Lakhmi C. Jain
Publisher : Springer
Page : 328 pages
File Size : 48,5 Mb
Release : 2017-11-16
Category : Technology & Engineering
ISBN : 9783319675886

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Advances in Feature Selection for Data and Pattern Recognition by Urszula Stańczyk,Beata Zielosko,Lakhmi C. Jain Pdf

This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.

Feature Selection for Data and Pattern Recognition

Urszula Stańczyk,Lakhmi C. Jain
Feature Selection for Data and Pattern Recognition Book PDF

Author : Urszula Stańczyk,Lakhmi C. Jain
Publisher : Springer
Page : 355 pages
File Size : 50,5 Mb
Release : 2015-01-10
Category : Computers
ISBN : 3662456214

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Feature Selection for Data and Pattern Recognition by Urszula Stańczyk,Lakhmi C. Jain Pdf

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.

Feature Selection for Data and Pattern Recognition

Urszula Stańczyk,Lakhmi C. Jain
Feature Selection for Data and Pattern Recognition Book PDF

Author : Urszula Stańczyk,Lakhmi C. Jain
Publisher : Springer
Page : 0 pages
File Size : 42,5 Mb
Release : 2016-09-24
Category : Technology & Engineering
ISBN : 3662508451

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Feature Selection for Data and Pattern Recognition by Urszula Stańczyk,Lakhmi C. Jain Pdf

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.

Computational Methods of Feature Selection

Huan Liu,Hiroshi Motoda
Computational Methods of Feature Selection Book PDF

Author : Huan Liu,Hiroshi Motoda
Publisher : CRC Press
Page : 437 pages
File Size : 45,5 Mb
Release : 2007-10-29
Category : Business & Economics
ISBN : 9781584888796

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Computational Methods of Feature Selection by Huan Liu,Hiroshi Motoda Pdf

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

Advances In Pattern Recognition And Artificial Intelligence

Marleah Blom,Nicola Nobile,Ching Yee Suen
Advances In Pattern Recognition And Artificial Intelligence Book PDF

Author : Marleah Blom,Nicola Nobile,Ching Yee Suen
Publisher : World Scientific
Page : 277 pages
File Size : 44,6 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9789811239021

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Advances In Pattern Recognition And Artificial Intelligence by Marleah Blom,Nicola Nobile,Ching Yee Suen Pdf

This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.

Advances in Pattern Recognition

José Francisco Martínez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler
Advances in Pattern Recognition Book PDF

Author : José Francisco Martínez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler
Publisher : Springer
Page : 384 pages
File Size : 43,6 Mb
Release : 2010-12-22
Category : Computers
ISBN : 9783642159923

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Advances in Pattern Recognition by José Francisco Martínez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler Pdf

Annotation. This book constitutes the thoroughly refereed proceedings of the Second Mexican Conference on Pattern Recognition, MCPR 2010, held in Puebly, Mexico, in September 2010. The 39 revised papers were carefully reviewed and selected from 89 submissions and are organized in topical sections on computer vision and robotics, image processing, neural networks and signal processing, pattern recognition, data mining, natural language and document processing.

Advances in Pattern Recognition

José Francisco Martinez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler
Advances in Pattern Recognition Book PDF

Author : José Francisco Martinez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler
Publisher : Springer Science & Business Media
Page : 395 pages
File Size : 50,5 Mb
Release : 2010-09-13
Category : Computers
ISBN : 9783642159916

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Advances in Pattern Recognition by José Francisco Martinez-Trinidad,Jesús Ariel Carrasco-Ochoa,Josef Kittler Pdf

This book constitutes the thoroughly refereed proceedings of the Second Mexican Conference on Pattern Recognition, MCPR 2010, held in Puebly, Mexico, in September 2010. The 39 revised papers were carefully reviewed and selected from 89 submissions and are organized in topical sections on computer vision and robotics, image processing, neural networks and signal processing, pattern recognition, data mining, natural language and document processing.

Pattern Recognition and Data Mining

Sameer Singh,Maneesha Singh,Chid Apte,Petra Perner
Pattern Recognition and Data Mining Book PDF

Author : Sameer Singh,Maneesha Singh,Chid Apte,Petra Perner
Publisher : Springer
Page : 694 pages
File Size : 55,8 Mb
Release : 2005-09-16
Category : Computers
ISBN : 9783540287582

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Pattern Recognition and Data Mining by Sameer Singh,Maneesha Singh,Chid Apte,Petra Perner Pdf

This LNCS volume contains the papers presented at the 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005) organized in August, 2005 in the beautiful city of Bath, UK.

Data Science Concepts and Techniques with Applications

Usman Qamar,Muhammad Summair Raza
Data Science Concepts and Techniques with Applications Book PDF

Author : Usman Qamar,Muhammad Summair Raza
Publisher : Springer Nature
Page : 492 pages
File Size : 52,6 Mb
Release : 2023-04-02
Category : Computers
ISBN : 9783031174421

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Data Science Concepts and Techniques with Applications by Usman Qamar,Muhammad Summair Raza Pdf

This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics. "This book delivers a systematic, carefully thoughtful material on Data Science." from the Foreword by Witold Pedrycz, U Alberta, Canada.

Feature Extraction, Construction and Selection

Huan Liu,Hiroshi Motoda
Feature Extraction Construction and Selection Book PDF

Author : Huan Liu,Hiroshi Motoda
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 48,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461557258

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Feature Extraction, Construction and Selection by Huan Liu,Hiroshi Motoda Pdf

There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.

Advances in Pattern Recognition - ICAPR 2001

Sameer Singh
Advances in Pattern Recognition ICAPR 2001 Book PDF

Author : Sameer Singh
Publisher : Springer Science & Business Media
Page : 491 pages
File Size : 48,7 Mb
Release : 2001-02-28
Category : Computers
ISBN : 9783540417675

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Advances in Pattern Recognition - ICAPR 2001 by Sameer Singh Pdf

This book constitutes the refereed proceedings of the Second International Conference on Advances in Pattern Recognition, ICAPR 2001, held in Rio de Janeiro, Brazil in March 2001. The 40 revised full papers presented together with three invited papers and two tutorial presentations were carefully reviewed and selected for inclusion in the proceedings. The book is organized in topical sections on neural networks and computational intelligence, character recognition and document analysis, feature selection and analysis, pattern recognition and classification, image and signal processing applications, and image feature analysis and retrieval.

Recent Advances in Ensembles for Feature Selection

Verónica Bolón-Canedo,Amparo Alonso-Betanzos
Recent Advances in Ensembles for Feature Selection Book PDF

Author : Verónica Bolón-Canedo,Amparo Alonso-Betanzos
Publisher : Springer
Page : 205 pages
File Size : 49,9 Mb
Release : 2018-04-30
Category : Technology & Engineering
ISBN : 9783319900803

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Recent Advances in Ensembles for Feature Selection by Verónica Bolón-Canedo,Amparo Alonso-Betanzos Pdf

This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance. With the advent of Big Data, feature selection (FS) has become more necessary than ever to achieve dimensionality reduction. With so many methods available, it is difficult to choose the most appropriate one for a given setting, thus making the ensemble paradigm an interesting alternative. The authors first focus on the foundations of ensemble learning and classical approaches, before diving into the specific aspects of ensembles for FS, such as combining partial results, measuring diversity and evaluating ensemble performance. Lastly, the book shows examples of successful applications of ensembles for FS and introduces the new challenges that researchers now face. As such, the book offers a valuable guide for all practitioners, researchers and graduate students in the areas of machine learning and data mining.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

César San Martin,Sang-Woon Kim
Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book PDF

Author : César San Martin,Sang-Woon Kim
Publisher : Springer Science & Business Media
Page : 736 pages
File Size : 55,5 Mb
Release : 2011-10-28
Category : Computers
ISBN : 9783642250842

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by César San Martin,Sang-Woon Kim Pdf

This book constitutes the refereed proceedings of the 16th Iberoamerican Congress on Pattern Recognition, CIARP 2011, held in Pucón, Chile, in November 2011. The 81 revised full papers presented together with 3 keynotes were carefully reviewed and selected from numerous submissions. Topics of interest covered are image processing, restoration and segmentation; computer vision; clustering and artificial intelligence; pattern recognition and classification; applications of pattern recognition; and Chilean Workshop on Pattern Recognition.

Pattern Recognition

Wladyslaw Homenda,Witold Pedrycz
Pattern Recognition Book PDF

Author : Wladyslaw Homenda,Witold Pedrycz
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 49,9 Mb
Release : 2018-02-09
Category : Technology & Engineering
ISBN : 9781119302858

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Pattern Recognition by Wladyslaw Homenda,Witold Pedrycz Pdf

A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining. Top-down organization presents detailed applications only after methodological issues have been mastered, and step-by-step instructions help ensure successful implementation of new processes. By positioning data quality as a factor to be dealt with rather than overcome, the framework provided serves as a valuable, versatile tool in the analysis arsenal. For decades, practical need has inspired intense theoretical and applied research into pattern recognition for numerous and diverse applications. Throughout, the limiting factor and perpetual problem has been data—its sheer diversity, abundance, and variable quality presents the central challenge to pattern recognition innovation. Pattern Recognition: A Quality of Data Perspective repositions that challenge from a hurdle to a given, and presents a new framework for comprehensive data analysis that is designed specifically to accommodate problem data. Designed as both a practical manual and a discussion about the most useful elements of pattern recognition innovation, this book: Details fundamental pattern recognition concepts, including feature space construction, classifiers, rejection, and evaluation Provides a systematic examination of the concepts, design methodology, and algorithms involved in pattern recognition Includes numerous experiments, detailed schemes, and more advanced problems that reinforce complex concepts Acts as a self-contained primer toward advanced solutions, with detailed background and step-by-step processes Introduces the concept of granules and provides a framework for granular computing Pattern recognition plays a pivotal role in data analysis and data mining, fields which are themselves being applied in an expanding sphere of utility. By facing the data quality issue head-on, this book provides students, practitioners, and researchers with a clear way forward amidst the ever-expanding data supply.

Advances in Machine Learning and Data Science

Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K.
Advances in Machine Learning and Data Science Book PDF

Author : Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K.
Publisher : Springer
Page : 380 pages
File Size : 41,9 Mb
Release : 2018-05-16
Category : Technology & Engineering
ISBN : 9789811085697

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Advances in Machine Learning and Data Science by Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K. Pdf

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records, etc. The main objective of this book is to provide an overview on latest advancements in the field of machine learning and data science, with solutions to problems in field of image, video, data and graph processing, pattern recognition, data structuring, data clustering, pattern mining, association rule based approaches, feature extraction techniques, neural networks, bio inspired learning and various machine learning algorithms.