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Author | : Urszula Stańczyk |
Publisher | : Springer |
Total Pages | : 334 |
Release | : 2017-11-16 |
Genre | : Technology & Engineering |
ISBN | : 3319675885 |
Download Advances in Feature Selection for Data and Pattern Recognition Book in PDF, ePub and Kindle
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.
Author | : Urszula Stańczyk |
Publisher | : Springer |
Total Pages | : 355 |
Release | : 2015-01-10 |
Genre | : Computers |
ISBN | : 9783662456217 |
Download Feature Selection for Data and Pattern Recognition Book in PDF, ePub and Kindle
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.
Author | : Urszula Stańczyk |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2016-09-24 |
Genre | : Technology & Engineering |
ISBN | : 9783662508459 |
Download Feature Selection for Data and Pattern Recognition Book in PDF, ePub and Kindle
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.
Author | : Huan Liu |
Publisher | : Springer Science & Business Media |
Total Pages | : 418 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461557259 |
Download Feature Extraction, Construction and Selection Book in PDF, ePub and Kindle
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.
Author | : Huan Liu |
Publisher | : Springer Science & Business Media |
Total Pages | : 225 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461556899 |
Download Feature Selection for Knowledge Discovery and Data Mining Book in PDF, ePub and Kindle
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.
Author | : Marleah Blom |
Publisher | : World Scientific |
Total Pages | : 277 |
Release | : 2021-11-16 |
Genre | : Computers |
ISBN | : 9811239029 |
Download Advances In Pattern Recognition And Artificial Intelligence Book in PDF, ePub and Kindle
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.
Author | : Huan Liu |
Publisher | : CRC Press |
Total Pages | : 437 |
Release | : 2007-10-29 |
Genre | : Business & Economics |
ISBN | : 1584888792 |
Download Computational Methods of Feature Selection Book in PDF, ePub and Kindle
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
Author | : José Francisco Martínez-Trinidad |
Publisher | : Springer |
Total Pages | : 395 |
Release | : 2010-12-22 |
Genre | : Computers |
ISBN | : 3642159923 |
Download Advances in Pattern Recognition Book in PDF, ePub and Kindle
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.
Author | : José Francisco Martinez-Trinidad |
Publisher | : Springer Science & Business Media |
Total Pages | : 395 |
Release | : 2010-09-13 |
Genre | : Computers |
ISBN | : 3642159915 |
Download Advances in Pattern Recognition Book in PDF, ePub and Kindle
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.
Author | : Sameer Singh |
Publisher | : Springer |
Total Pages | : 713 |
Release | : 2005-09-16 |
Genre | : Computers |
ISBN | : 3540287582 |
Download Pattern Recognition and Data Mining Book in PDF, ePub and Kindle
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.