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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.

Numerical mathematics is the branch of mathematics that proposes, develops, analyzes and applies methods from scientific computing to several fields including analysis, linear algebra, geometry, approximation theory, functional equations, optimization and differential equations. Other disciplines such as physics, the natural and biological sciences, engineering, and economics and the financial sciences frequently give rise to problems that need scientific computing for their solutions.

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这本书是Ovidiu Furdui在过去十年中教授，研究和解决问题的成果。 本书提供了一个不寻常的问题集合，专门研究数学分析的三个主题：极限，级数和分数部分积分。 全书共分三章，每章分别讨论一个具体的题目和两个附录。 每一章都包含一些由书中的其他问题所激发的一些难题，这些难题被收集在一个题为“未解决的问题”的特别小节中，其中很少以问题出现在书中的顺序列出。 这些问题可以考虑作为研究问题或项目给有微积分背景的学生，以及喜欢数学研究和数学发现的读者。