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Titlebook: Data Mining; Concepts, Methods an Yong Yin,Ikou Kaku,JianMing Zhu Book 2011 Springer-Verlag London Limited 2011 Data Mining.Decision Scienc

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發(fā)表于 2025-3-21 18:31:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Mining
副標(biāo)題Concepts, Methods an
編輯Yong Yin,Ikou Kaku,JianMing Zhu
視頻videohttp://file.papertrans.cn/263/262895/262895.mp4
概述Introduces data mining methods for the solution of design issues.Presents methods for preprocessing data prior to mining.Written by experts.Includes supplementary material:
叢書名稱Decision Engineering
圖書封面Titlebook: Data Mining; Concepts, Methods an Yong Yin,Ikou Kaku,JianMing Zhu Book 2011 Springer-Verlag London Limited 2011 Data Mining.Decision Scienc
描述Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including:? supply chain design,? product development,? manufacturing system design,? product quality control, and? preservation of privacy.Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.
出版日期Book 2011
關(guān)鍵詞Data Mining; Decision Sciences; Industrial Engineering; Management Science; Operations Management; Engine
版次1
doihttps://doi.org/10.1007/978-1-84996-338-1
isbn_softcover978-1-4471-6118-9
isbn_ebook978-1-84996-338-1Series ISSN 1619-5736 Series E-ISSN 2197-6589
issn_series 1619-5736
copyrightSpringer-Verlag London Limited 2011
The information of publication is updating

書目名稱Data Mining影響因子(影響力)




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書目名稱Data Mining網(wǎng)絡(luò)公開度學(xué)科排名




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https://doi.org/10.1007/978-4-431-55522-3ed as follows. Section 5.1 gives a simple review of neural network and self-organizing map and introduces our motivation for the research. Section 5.2 presents the basic concept and algorithm of the SOM. Section 5.3 gives the main theoretical results and detail proof. In Section 5.4 numerical exampl
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Colitis-Associated Cancer: Overview,d bringing the data together in one place for analysis is not possible due to the privacy laws or policies. How parties collaboratively conduct data mining without breaching data privacy presents a major challenge. The problem is not data mining itself, but the way data mining is done. In this chapt
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Power Dynamics in Barnahus Collaborationiteria, which is then used to rank inventory items. Then, a numerical example is used to explain the new algorithm and empirical experiments are implemented to evaluate its effectiveness and utility, comparing with traditional ABC classification..This chapter is organized as follows. Section 12.1 in
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1619-5736 cy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.978-1-4471-6118-9978-1-84996-338-1Series ISSN 1619-5736 Series E-ISSN 2197-6589
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Genetic Algorithm-based Fuzzy Nonlinear Programming,on set and optimal decision set, a satisfying solution method and a crisp optimal solution method with GA for FNLP-PC are developed. Finally, the analysis of simulation results of an example in actual production problems is also given.
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