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Titlebook: Data Mining with Rattle and R; The Art of Excavatin Graham Williams Book 2011 Springer Science+Business Media, LLC 2011 Data mining.R appli

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發(fā)表于 2025-3-21 18:12:07 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Mining with Rattle and R
副標題The Art of Excavatin
編輯Graham Williams
視頻videohttp://file.papertrans.cn/263/262971/262971.mp4
概述Encourages the concept of programming with data - more than just pushing data through tools, but learning to live and breathe the data.Accessible to many readers and not necessarily just those with st
叢書名稱Use R!
圖書封面Titlebook: Data Mining with Rattle and R; The Art of Excavatin Graham Williams Book 2011 Springer Science+Business Media, LLC 2011 Data mining.R appli
描述.Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms..Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing..The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn torapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the man
出版日期Book 2011
關(guān)鍵詞Data mining; R applications; Rattle software; analytics; data exploration; graphical user interfaces; mach
版次1
doihttps://doi.org/10.1007/978-1-4419-9890-3
isbn_softcover978-1-4419-9889-7
isbn_ebook978-1-4419-9890-3Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer Science+Business Media, LLC 2011
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:17:29 | 只看該作者
Graham WilliamsEncourages the concept of programming with data - more than just pushing data through tools, but learning to live and breathe the data.Accessible to many readers and not necessarily just those with st
板凳
發(fā)表于 2025-3-22 03:06:50 | 只看該作者
Use R!http://image.papertrans.cn/d/image/262971.jpg
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發(fā)表于 2025-3-22 06:19:19 | 只看該作者
https://doi.org/10.1007/978-1-4419-9890-3Data mining; R applications; Rattle software; analytics; data exploration; graphical user interfaces; mach
5#
發(fā)表于 2025-3-22 12:41:33 | 只看該作者
978-1-4419-9889-7Springer Science+Business Media, LLC 2011
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發(fā)表于 2025-3-22 13:16:49 | 只看該作者
2197-5736 sible to many readers and not necessarily just those with st.Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many
7#
發(fā)表于 2025-3-22 19:07:41 | 只看該作者
Book 2011ver increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms..Throughout this book the reader is introduced to the basic concepts and som
8#
發(fā)表于 2025-3-22 22:36:06 | 只看該作者
Book 2011 model building, model evaluation, and practical deployment. The reader will learn torapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the man
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發(fā)表于 2025-3-23 03:19:41 | 只看該作者
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發(fā)表于 2025-3-23 05:50:23 | 只看該作者
Dopamine Modulation of the Prefrontal Cortex and Cognitive Function,ile levels higher or lower levels may reduce the overall signal to noise but allow PFC networks to deal with information in a more flexible manner. The key to understanding the PFC DA system may lie in understanding how a balance is achieved to promote optimal modulation across a variety of situations.
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