Data Classification Incremental Clustering by Chakraborty Sanjay (22 results)
Language: English
Published by Springer, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Published by Springer, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Published by Springer, 2022
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Published by Springer Nature, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Published by Springer, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Taschenbuch. Condition: Neu. Data Classification and Incremental Clustering in Data Mining and Machine Learning | Sanjay Chakraborty (u. a.) | Taschenbuch | EAI/Springer Innovations in Communication and Computing | xxi | Englisch | 2023 | Springer | EAN 9783030930905 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tie…rgartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer International Publishing, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machine lea…rning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.
Language: English
Published by Springer, 2022
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Published by Springer International Publishing, 2022
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machine learning b…ased on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.
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Published by Springer, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Published by Springer, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Language: English
Published by Springer, 2022
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Published by Springer International Publishing Mai 2023, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to maste…r in machine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques. 220 pp. Englisch.
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Published by Springer International Publishing, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive review of various data mining techniques and architecturePresents hands-on coding examples using three and popular coding platforms: R, Python, and JavaIncludes case-s…tudies, examples, practice problems, questions, .
Language: English
Published by Springer, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Language: English
Published by Springer, 2023
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Published by Springer International Publishing Mai 2022, 2022
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in ma…chine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques. 220 pp. Englisch.
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Published by Springer, Springer Mai 2023, 2023
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in… machine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch.
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Published by Springer International Publishing, 2022
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive review of various data mining techniques and architecturePresents hands-on coding examples using three and popular coding platforms: R, Python, and JavaIncludes case-studies, examples, practic…e problems, questions, .
Language: English
Published by Springer, 2022
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
- Hardcover
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Published by Springer, Springer Mai 2022, 2022
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machin…e learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.
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Published by Springer, 2022
Series: EAI/Springer Innovations in Communication and Computing, Book 115 of 129. Book 115 of 129 - EAI/Springer Innovations in Communication and Computing
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