Recent Advances in Ensembles for Feature Selection - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recent Advances in Ensembles for Feature Selection write by Verónica Bolón-Canedo. This book was released on 2018-04-30. Recent Advances in Ensembles for Feature Selection available in PDF, EPUB and Kindle. 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.
Computational Methods of Feature Selection
Computational Methods of Feature Selection - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Methods of Feature Selection write by Huan Liu. This book was released on 2007-10-29. Computational Methods of Feature Selection available 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
Advances in Feature Selection for Data and Pattern Recognition
Advances in Feature Selection for Data and Pattern Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Feature Selection for Data and Pattern Recognition write by Urszula Stańczyk. This book was released on 2017-11-16. Advances in Feature Selection for Data and Pattern Recognition available 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.
Information Management and Big Data
Information Management and Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Management and Big Data write by Juan Antonio Lossio-Ventura. This book was released on 2021-05-11. Information Management and Big Data available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 7th International Conference on Information Management and Big Data, SIMBig 2020, held in Lima, Peru, in October 2020.* The 32 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 122 submissions. The papers address topics such as natural language processing and text mining; machine learning; image processing; social networks; data-driven software engineering; graph mining; and Semantic Web, repositories, and visualization. *The conference was held virtually.
Computational Intelligence for Business Analytics
Computational Intelligence for Business Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence for Business Analytics write by Witold Pedrycz. This book was released on 2021-10-26. Computational Intelligence for Business Analytics available in PDF, EPUB and Kindle. Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments.Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.
