9783030930875 - data classification and incremental clustering in data mining and machine learning (eai/springer innovations in communication and computing) de samanta, debabrata; chakraborty, sanjay; islam, sk hafizul (13 resultados)
Idioma: Inglés
Editorial: Springer, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Condición: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Condición: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Editorial: Springer, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Editorial: Springer International Publishing, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 117,69
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Buch. Condición: 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.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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 mac…hine 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.
Data Classification and Incremental Clustering in Data Mining and Machine Learning Debabrata Samanta
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Editorial: Springer, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, AlemaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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EUR 259,90
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Hardcover. Condición: gut. 2022. Data Classification and Incremental Clustering in Data Mining and Machine Learning In deutscher Sprache. pages.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing Mai 2022, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 117,69
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Buch. Condición: 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.
Idioma: Inglés
Editorial: Springer International Publishing, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: moluna, Greven, Alemaniamoluna
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EUR 98,54
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Condición: 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, .
Idioma: Inglés
Editorial: Springer, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 162,93
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Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 166,47
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Condición: New. PRINT ON DEMAND.
Idioma: Inglés
Editorial: Springer, Springer Mai 2022, 2022
Serie: Libro 115 de 129 - EAI/Springer Innovations in Communication and Computing
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 117,69
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Buch. Condición: 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.
