Proceedings Of The Seventh Siam International Conference On Data Mining
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Proceedings Of The Seventh Siam International Conference On Data Mining
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Author : Chid Apte
language : en
Publisher: Society for Industrial and Applied Mathematics (SIAM)
Release Date : 2007
Proceedings Of The Seventh Siam International Conference On Data Mining written by Chid Apte and has been published by Society for Industrial and Applied Mathematics (SIAM) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
The Seventh SIAM International Conference on Data Mining (SDM 2007) continues a series of conferences whose focus is the theory and application of data mining to complex datasets in science, engineering, biomedicine, and the social sciences. These datasets challenge our abilities to analyze them because they are large and often noisy. Sophisticated, highperformance, and principled analysis techniques and algorithms, based on sound statistical foundations, are required. Visualization is often critically important; tuning for performance is a significant challenge; and the appropriate levels of abstraction to allow end-users to exploit sophisticated techniques and understand clearly both the constraints and interpretation of results are still something of an open question.
Proceedings Of The Seventh Siam International Conference On Data Mining
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Author :
language : en
Publisher:
Release Date : 2007
Proceedings Of The Seventh Siam International Conference On Data Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Data mining categories.
Proceedings Of The 9th International Conference On Computer Recognition Systems Cores 2015
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Author : Robert Burduk
language : en
Publisher: Springer
Release Date : 2016-03-05
Proceedings Of The 9th International Conference On Computer Recognition Systems Cores 2015 written by Robert Burduk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-05 with Computers categories.
The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 79 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Features, learning, and classifiers Biometrics Data Stream Classification and Big Data Analytics Image processing and computer vision Medical applications Applications RGB-D perception: recent developments and applications This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics.
Proceedings Of The Future Technologies Conference Ftc 2021 Volume 1
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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2021-10-23
Proceedings Of The Future Technologies Conference Ftc 2021 Volume 1 written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-23 with Technology & Engineering categories.
This book covers a wide range of important topics including but not limited to Technology Trends, Computing, Artificial Intelligence, Machine Vision, Communication, Security, e-Learning, and Ambient Intelligence and their applications to the real world. The sixth Future Technologies Conference 2021 was organized virtually and received a total of 531 submissions from academic pioneering researchers, scientists, industrial engineers, and students from all over the world.. After a double-blind peer review process, 191 submissions have been selected to be included in these proceedings. One of the meaningful and valuable dimensions of this conference is the way it brings together a large group of technology geniuses in one venue to not only present breakthrough research in future technologies, but also to promote discussions and debate of relevant issues, challenges, opportunities and research findings. We hope that readers find the book interesting, exciting, and inspiring; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.
Proceedings Of The Siam International Conference On Data Mining
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Author :
language : en
Publisher:
Release Date : 2005
Proceedings Of The Siam International Conference On Data Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Data mining categories.
Proceedings Of The Seventh Workshop On Algorithm Engineering And Experiments And The Second Workshop On Analytic Algorithmics And Combinatorics
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Author : Camil Demetrescu
language : en
Publisher: Society for Industrial and Applied Mathematics (SIAM)
Release Date : 2005
Proceedings Of The Seventh Workshop On Algorithm Engineering And Experiments And The Second Workshop On Analytic Algorithmics And Combinatorics written by Camil Demetrescu and has been published by Society for Industrial and Applied Mathematics (SIAM) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Presents the aim of the annual ALENEX workshop, which is to provide a forum for the presentation of original research in the implementation and experimental evaluation of algorithms and data structures.
Efficient Learning Machines
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Author : Mariette Awad
language : en
Publisher: Apress
Release Date : 2015-04-27
Efficient Learning Machines written by Mariette Awad and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-27 with Computers categories.
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques. Mariette Awad and Rahul Khanna’s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sample algorithms throughout the book, aims to equip engineers, students of engineering, and system designers to design and create new and more efficient machine learning systems. Readers of Efficient Learning Machines will learn how to recognize and analyze the problems that machine learning technology can solve for them, how to implement and deploy standard solutions to sample problems, and how to design new systems and solutions. Advances in computing performance, storage, memory, unstructured information retrieval, and cloud computing have coevolved with a new generation of machine learning paradigms and big data analytics, which the authors present in the conceptual context of their traditional precursors. Awad and Khanna explore current developments in the deep learning techniques of deep neural networks, hierarchical temporal memory, and cortical algorithms. Nature suggests sophisticated learning techniques that deploy simple rules to generate highly intelligent and organized behaviors with adaptive, evolutionary, and distributed properties. The authors examine the most popular biologically-inspired algorithms, together with a sample application to distributed datacenter management. They also discuss machine learning techniques for addressing problems of multi-objective optimization in which solutions in real-world systems are constrained and evaluated based on how well they perform with respect to multiple objectives in aggregate. Two chapters on support vector machines and their extensions focus on recent improvements to the classification and regression techniques at the core of machine learning.
Data Preprocessing Active Learning And Cost Perceptive Approaches For Resolving Data Imbalance
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Author : Rana, Dipti P.
language : en
Publisher: IGI Global
Release Date : 2021-06-04
Data Preprocessing Active Learning And Cost Perceptive Approaches For Resolving Data Imbalance written by Rana, Dipti P. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-04 with Computers categories.
Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world application areas like finance, health, network, news, online advertisement, social network media, and weather have imbalanced data, which emphasizes the research necessity for real-time implications of precise fraud/defaulter detection, rare disease/reaction prediction, network intrusion detection, fake news detection, fraud advertisement detection, cyber bullying identification, disaster events prediction, and more. Machine learning algorithms are based on the heuristic of equally-distributed balanced data and provide the biased result towards the majority data class, which is not acceptable considering imbalanced data is omnipresent in real-life scenarios and is forcing us to learn from imbalanced data for foolproof application design. Imbalanced data is multifaceted and demands a new perception using the novelty at sampling approach of data preprocessing, an active learning approach, and a cost perceptive approach to resolve data imbalance. Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance offers new aspects for imbalanced data learning by providing the advancements of the traditional methods, with respect to big data, through case studies and research from experts in academia, engineering, and industry. The chapters provide theoretical frameworks and the latest empirical research findings that help to improve the understanding of the impact of imbalanced data and its resolving techniques based on data preprocessing, active learning, and cost perceptive approaches. This book is ideal for data scientists, data analysts, engineers, practitioners, researchers, academicians, and students looking for more information on imbalanced data characteristics and solutions using varied approaches.
Proceedings Of The 7th International Conference On Advance Computing And Intelligent Engineering
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Author : Bibudhendu Pati
language : en
Publisher: Springer Nature
Release Date : 2024-07-03
Proceedings Of The 7th International Conference On Advance Computing And Intelligent Engineering written by Bibudhendu Pati and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-03 with Technology & Engineering categories.
This book gathers high-quality research papers presented at the 7th International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2022) organized by the Department of Computer Science and Engineering, DRIEMS (Autonomous) Engineering College, Odisha, India, during December 23–24, 2022. It includes sections describing technical advances and the latest research in the fields of computing and intelligent engineering. Intended for graduate students and researchers working in the disciplines of computer science and engineering, the proceedings will also appeal to researchers in the field of electronics, as they cover hardware technologies and future communication technologies.
Advanced Computational Methods For Knowledge Engineering
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Author : Ngoc Thanh Nguyen
language : en
Publisher: Springer
Release Date : 2013-03-22
Advanced Computational Methods For Knowledge Engineering written by Ngoc Thanh Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-22 with Technology & Engineering categories.
The book consists of 29 extended chapters which have been selected and invited from the submissions to the 1st International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2013) held on 9-10 May, 2013 in Warsaw, Poland. The book is organized into five parts, which are: Advanced Optimization Methods and Their Applications, Queuing Theory and Applications, Computational Methods for Knowledge Engineering, Knowledge Engineering with Cloud and Grid Computing, and Logic Based Methods for Decision Making and Data Mining, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering.