| 书目名称 | Data Classification and Incremental Clustering in Data Mining and Machine Learning | | 编辑 | Sanjay Chakraborty,Sk Hafizul Islam,Debabrata Sama | | 视频video | | | 概述 | Provides a comprehensive review of various data mining techniques and architecture.Presents hands-on coding examples using three and popular coding platforms: R, Python, and Java.Includes case-studies | | 丛书名称 | EAI/Springer Innovations in Communication and Computing | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2022 | | 关键词 | Data Mining; Machine Learning; Supervised Learning; Clustering; Classification; Unsupervised Learning | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-93088-2 | | isbn_softcover | 978-3-030-93090-5 | | isbn_ebook | 978-3-030-93088-2Series ISSN 2522-8595 Series E-ISSN 2522-8609 | | issn_series | 2522-8595 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:49:45
