Metalearning: Applications to Automated Machine Learning and Data Mining, Brazdil Pavel, Van Rijn Jan N., Soares Carlos

Автор: Carou Diego, Sartal Antonio, Davim J. Paulo
Название: Machine Learning and Artificial Intelligence with Industrial Applications: From Big Data to Small Data
ISBN: 3030910059 ISBN-13(EAN): 9783030910051
Издательство: Springer
Рейтинг:
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.

Автор: Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy
Название: Machine Learning Applications: Emerging Trends
ISBN: 3110608537 ISBN-13(EAN): 9783110608533
Издательство: Walter de Gruyter
Цена: 123910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.

Автор: Hassanien Aboul Ella, Darwish Ashraf
Название: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
ISBN: 3030593401 ISBN-13(EAN): 9783030593407
Издательство: Springer
Рейтинг:
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data.

Автор: Harekrishna Misra, Mrutyunjaya Panda
Название: Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
ISBN: 1799866599 ISBN-13(EAN): 9781799866596
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 303070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. Chapters introduce feature engineering and recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data.

Автор: Chiroma Haruna, Abdulhamid Shafi`i M., Fournier-Viger Philippe
Название: Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications
ISBN: 303066290X ISBN-13(EAN): 9783030662905
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. and,disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics.

Автор: Raja Rohit, Nagwanshi Kapil Kumar, Kumar Sandeep
Название: Data Mining and Machine Learning Applications
ISBN: 1119791782 ISBN-13(EAN): 9781119791782
Издательство: Wiley
Рейтинг:
Цена: 198470.00 T
Наличие на складе: Поставка под заказ.
Описание: Cyril, Bishop of Alexandria (412-444), is best known as a protagonist in the christological controversy of the second quarter of the fifth century. Readers may be surprised therefore to find such polemic absent from this early work on the twelve minor prophets of the Old Testament. Cyril appears in this work as a balanced commentator, eclectic in his attitude and tolerant of alternative views.

Автор: Tiwari Shailesh, Suryani Erma, Ng Andrew Keong
Название: Proceedings of International Conference on Big Data, Machine Learning and Their Applications: Icbma 2019
ISBN: 9811583765 ISBN-13(EAN): 9789811583766
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains high-quality peer-reviewed papers of the International Conference on Big Data, Machine Learning and their Applications (ICBMA 2019) held at Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, during 29-31 May 2020.

Автор: Chiroma Haruna, Abdulhamid Shafi`i M., Fournier-Viger Philippe
Название: Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications
ISBN: 303066287X ISBN-13(EAN): 9783030662875
Издательство: Springer
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. and,disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics.

Автор: Potgieter Trenton
Название: Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way
ISBN: 1801811822 ISBN-13(EAN): 9781801811828
Издательство: Неизвестно
Рейтинг:
Цена: 60070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Automated Machine Learning on AWS is a practical guide that provides hands-on experience to help you learn how to automate a machine learning pipeline using the various AWS services. With this book, you will be able to successfully overcome any machine learning automation challenges on AWS in no time.

Автор: Gunter Wallner
Название: Data Analytics Applications in Gaming and Entertainment
ISBN: 1138104434 ISBN-13(EAN): 9781138104433
Издательство: Taylor&Francis
Рейтинг:
Цена: 107190.00 T
Наличие на складе: Нет в наличии.
Описание: Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.

Автор: Emmanouil Amolochitis
Название: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining
ISBN: 8793609647 ISBN-13(EAN): 9788793609648
Издательство: Taylor&Francis
Рейтинг:
Цена: 78590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.

Автор: Robert Nisbet , Gary Miner, Ken Yale
Название: Handbook of Statistical Analysis and Data Mining Applications, 2 ed.
ISBN: 0124166326 ISBN-13(EAN): 9780124166325
Издательство: Elsevier Science
Рейтинг:
Цена: 88690.00 T
Наличие на складе: Поставка под заказ.
Описание:

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application.