经典的数据库教材。由浅入深讲解了数据库的各种知识。很好的工具书。
2021-08-09 14:36:39 19.71MB database sql textbook
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Data Mining The Textbook 是数据挖掘很好的教材资料课程,虽然是英文版,但是还是能够深入
2021-08-06 12:05:32 16.46MB 数据挖掘 文档
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This textbook is especially suited for students taking a one-year introductory course in physics that uses algebra and trigonometry but not calculus.
2021-07-16 13:28:16 56.59MB American University physics Textbook
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APPLIED ECONOMETRIC TIME SERIES BY WALTER ENDERS University of Alabama
2021-05-01 01:25:57 6.94MB textbook
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nlp-教科书-偏见
2021-03-16 14:06:56 9.18MB JupyterNotebook
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qt 实现Windows记事本,包括新建、保存、打开、自动换行、字体改变,撤销等基本功能。同时实现了对.xml与.ini文件的解析。
2021-03-11 19:05:41 25.88MB C++ qt xml解析 ini解析
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这本书是学习TEM最好的理论书籍,很多国外大学课件的推荐阅读书籍,我是在学校图书馆下载的,大家一起来学习TEM
2020-01-22 03:14:28 45.5MB TEM
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Data Mining: The Textbook By 作者: Charu C. Aggarwal ISBN-10 书号: 3319141414 ISBN-13 书号: 9783319141411 Edition 版本: 2015 出版日期: 2015-04-14 pages 页数: (734 ) $89.99 This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples.
2020-01-21 03:14:33 9.81MB network
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自动控制原理习题详解与考研辅导,适合期末复习考研,陈复杨主编
2019-12-21 20:22:51 40.01MB textbook
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Algebra I Textbook for Students of Mathematics, Springer
2019-12-21 19:59:19 10.63MB Algebra I Mathematics
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