Recent Advances In Ensembles For Feature Selection PDF Download
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| Author | : Verónica Bolón-Canedo |
| Publisher | : Springer |
| Total Pages | : 212 |
| Release | : 2018-04-30 |
| Genre | : Technology & Engineering |
| ISBN | : 3319900803 |
Download Recent Advances in Ensembles for Feature Selection Book 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.
| Author | : Verónica Bolón-Canedo |
| Publisher | : Springer |
| Total Pages | : 163 |
| Release | : 2015-10-05 |
| Genre | : Computers |
| ISBN | : 3319218581 |
Download Feature Selection for High-Dimensional Data Book in PDF, ePub and Kindle
This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers. The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.
| 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 | : 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 | : Juan Antonio Lossio-Ventura |
| Publisher | : Springer Nature |
| Total Pages | : 563 |
| Release | : 2021-05-11 |
| Genre | : Computers |
| ISBN | : 3030762289 |
Download Information Management and Big Data Book 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.
| Author | : Witold Pedrycz |
| Publisher | : Springer Nature |
| Total Pages | : 417 |
| Release | : 2021-10-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3030738191 |
Download Computational Intelligence for Business Analytics Book 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.
| Author | : Verma, Brijesh |
| Publisher | : IGI Global |
| Total Pages | : 454 |
| Release | : 2008-06-30 |
| Genre | : Computers |
| ISBN | : 1599048094 |
Download Pattern Recognition Technologies and Applications: Recent Advances Book in PDF, ePub and Kindle
The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification.
| Author | : Mark Last |
| Publisher | : Springer |
| Total Pages | : 350 |
| Release | : 2006-08-11 |
| Genre | : Computers |
| ISBN | : 3540338802 |
Download Advances in Web Intelligence and Data Mining Book in PDF, ePub and Kindle
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.
| Author | : George Q. Huang |
| Publisher | : Springer |
| Total Pages | : 725 |
| Release | : 2019-01-12 |
| Genre | : Business & Economics |
| ISBN | : 9811334021 |
Download Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018 Book in PDF, ePub and Kindle
This book records the new research findings and development in the field of industrial engineering, and it will serve as the guidebook for the potential development in industrial engineering and smart manufacturing. It gathers the accepted papers from the 24th International conference on Industrial Engineering and Engineering Management held at Central South University of Forestry and Technology in Changsha during May 19-20, 2018. The aim of this conference was to provide a high-level international forum for experts, scholars and entrepreneurs at home and abroad to present the recent advances, new techniques and application, to promote discussion and interaction among academics, researchers and professionals to promote the developments and applications of the related theories and technologies in universities and enterprises, and to establish business or research relations to find global partners for future collaboration in the field of Industrial Engineering. It addresses diverse themes in smart manufacturing, artificial intelligence, ergonomics, simulation and modeling, quality and reliability, logistics engineering, data mining and other related fields. This timely book summarizes and promotes the latest achievements in the field of industrial engineering and related fields over the past year, proposing prospects and vision for the further development.
| Author | : Petra Perner |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 667 |
| Release | : 2010-07-05 |
| Genre | : Computers |
| ISBN | : 3642143997 |
Download Advances in Data Mining: Applications and Theoretical Aspects Book in PDF, ePub and Kindle
These are the proceedings of the tenth event of the Industrial Conference on Data Mining ICDM held in Berlin (www.data-mining-forum.de). For this edition the Program Committee received 175 submissions. After the pe- review process, we accepted 49 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Extended versions of selected papers will appear in the international journal Trans- tions on Machine Learning and Data Mining (www.ibai-publishing.org/journal/mldm). Ten papers were selected for poster presentations and are published in the ICDM Poster Proceeding Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM four workshops were held on special hot applicati- oriented topics in data mining: Data Mining in Marketing DMM, Data Mining in LifeScience DMLS, the Workshop on Case-Based Reasoning for Multimedia Data CBR-MD, and the Workshop on Data Mining in Agriculture DMA. The Workshop on Data Mining in Agriculture ran for the first time this year. All workshop papers will be published in the workshop proceedings by ibai-publishing (www.ibai-publishing.org). Selected papers of CBR-MD will be published in a special issue of the international journal Transactions on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).
