Optimization Based Machine Learning And Data Mining

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Optimization Based Machine Learning And Data Mining

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Author : Edward W. Wild
language : en
Publisher:
Release Date : 2008

Optimization Based Machine Learning And Data Mining written by Edward W. Wild and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.

Optimization Based Data Mining Theory And Applications

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Author : Yong Shi
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-16

Optimization Based Data Mining Theory And Applications written by Yong Shi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-16 with Computers categories.

Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining. Optimization based Data Mining: Theory and Applications, mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery. Most of the material in this book is directly from the research and application activities that the authors’ research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems.

Dynamic Network Resources Optimization Based On Machine Learning And Cellular Data Mining

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Author : Seif Eddine Hammami
language : en
Publisher:
Release Date : 2018

Dynamic Network Resources Optimization Based On Machine Learning And Cellular Data Mining written by Seif Eddine Hammami and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.

Real datasets of mobile network traces contain valuable information about the network resources usage. These traces may be used to enhance and optimize the network performances. A real dataset of CDR (Call Detail Records) traces, that include spatio-temporal information about mobile users' activities, are analyzed and exploited in this thesis. Given their large size and the fact that these are real-world datasets, information extracted from these datasets have intensively been used in our work to develop new algorithms that aim to revolutionize the infrastructure management mechanisms and optimize the usage of resource. We propose, in this thesis, a framework for network profiles classification, load prediction and dynamic network planning based on machine learning tools. We also propose a framework for network anomaly detection. These frameworks are validated using different network topologies such as wireless mesh networks (WMN) and drone-cell based networks. We show that using advanced data mining techniques, our frameworks are able to help network operators to manage and optimize dynamically their networks.

Introduction To Algorithms For Data Mining And Machine Learning

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Author : Xin-She Yang
language : en
Publisher: Academic Press
Release Date : 2019-06-17

Introduction To Algorithms For Data Mining And Machine Learning written by Xin-She Yang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-17 with Mathematics categories.

Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages

Machine Learning And Data Mining Via Mathematical Programming Based Support Vector Machines

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Author : Glenn Fung
language : en
Publisher:
Release Date : 2003

Machine Learning And Data Mining Via Mathematical Programming Based Support Vector Machines written by Glenn Fung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.

Data Mining Via Mathematical Programming And Machine Learning

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Author : David R. Musicant
language : en
Publisher:
Release Date : 2000

Data Mining Via Mathematical Programming And Machine Learning written by David R. Musicant and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.

Nature Inspired Computation In Data Mining And Machine Learning

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Author : Xin-She Yang
language : en
Publisher: Springer Nature
Release Date : 2019-09-03

Nature Inspired Computation In Data Mining And Machine Learning written by Xin-She Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Technology & Engineering categories.

This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.

Proceedings Of The Twenty Third Aaai Conference On Artificial Intelligence And The Twentieth Innovative Applications Of Artificial Intelligence Conference

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Author : American Association for Artificial Intelligence
language : en
Publisher:
Release Date : 2008

Proceedings Of The Twenty Third Aaai Conference On Artificial Intelligence And The Twentieth Innovative Applications Of Artificial Intelligence Conference written by American Association for Artificial Intelligence and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Artificial intelligence categories.

Encyclopedia Of Data Warehousing And Mining

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Author : John Wang
language : en
Publisher:
Release Date : 2008

Encyclopedia Of Data Warehousing And Mining written by John Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Data mining categories.

Data Mining And Constraint Programming

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Author : Christian Bessiere
language : en
Publisher: Springer
Release Date : 2016-12-01

Data Mining And Constraint Programming written by Christian Bessiere and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with Computers categories.

A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge. This book reports on some key results obtained on this integrated and cross- disciplinary approach within the European FP7 FET Open project no. 284715 on “Inductive Constraint Programming” and a number of associated workshops and Dagstuhl seminars. The book is structured in five parts: background; learning to model; learning to solve; constraint programming for data mining; and showcases.