数据挖掘概念与技术 PDF 分享

数据挖掘概念与技术 PDF分享

数据挖掘概念与技术 PDF

数据挖掘领域最具里程碑意义的经典

全面阐述该领域的重要知识和技术创新

这是一本优秀的数据挖掘和知识发现教材,结构合理,组织清晰。本书不仅保留了相当长的篇幅来描述数据挖掘的基本概念和方法,还增加了几章来介绍数据挖掘领域的最新技术和发展。因此,它适合初学者学习,也适合专业人士和从业者参考。本书视野广阔,内容翔实全面,可为有兴趣深入研究相关技术的读者提供充分的参考和支持。总之,强烈建议所有高年级本科生、专业人士和从业者阅读本书!

–美国精选杂志

这是一本非常优秀的数据挖掘教科书。最新的第三版反映了数据挖掘领域的最新发展和变化。本书增加了自2006年第二版以来的最新参考文献,新的章节讨论了可视化、模式挖掘和最新的聚类方法。这本书配备了丰富和完善的教具,包括配套网站,大量的习题集和问题答案。虽然这是一本数据挖掘的教科书,但对读者的要求并不高,只要求读者有一点编程经验,了解数据库设计和统计分析的基本知识。还有两点值得注意:第一,本书的参考书目是理解数据挖掘研究的一个很好的参考书目;其次,本书中的索引非常全面有效,可以帮助读者轻松定位相关知识点。其他学科的研究人员和分析师,如流行病学家、金融分析师和心理测量研究人员,也会发现这本书非常有用。

–计算审查

当代商业和科学中的大量数据要求我们使用更复杂和复杂的工具进行数据分析、处理和挖掘。尽管近年来数据挖掘技术的巨大进步使我们更容易广泛收集数据,但技术的发展仍然难以满足数据爆炸式增长和随后的大量数据处理需求。因此,我们比以往任何时候都更迫切地需要新技术和自动化工具来帮助我们将这些数据转换为有用的信息和知识。

本书的前一版被KDnuggets的读者选为最流行的数据挖掘专著。这是一本可读性很好的教科书。从数据库的角度全面系统地介绍了数据挖掘的概念、方法、技术和技术研究进展,重点介绍了近年来该领域的重要和最新课题——数据仓库和数据立方体技术、流数据挖掘、社交网络挖掘、空间、多媒体等复杂数据挖掘。每章对关键主题都有单独的指导,提供了最佳算法,并给出了如何将技术应用于实际工作的实用规则。如果你想掌握并应用当今最强大的数据挖掘技术,这本书是你需要阅读和学习的宝贵资源。本书是数据挖掘和知识发现领域所有教师、研究人员、开发人员和用户的必读书籍。

[本书的特点]

本文介绍了许多算法和实现示例,这些算法和实现示例都是用易于理解的伪代码编写的,适用于实际的大规模数据挖掘项目。

讨论了一些高级主题,如挖掘面向对象的关系数据库、空间数据库、多媒体数据库、时间序列数据库、文本数据库、万维网和其他应用。

本文全面而实用地介绍了从海量数据中获取尽可能多信息的概念和技术。

The most landmark classic in the field of data mining

Comprehensively explain the important knowledge and technological innovation in this field

This is an excellent textbook of data mining and knowledge discovery, with reasonable structure and clear organization. This book not only retains a considerable length to describe the basic concepts and methods of data mining, but also adds several chapters to introduce the latest technologies and developments in the field of data mining. Therefore, it is suitable for beginners to learn and for professionals and practitioners to refer to. This book has a broad perspective, informative and comprehensive content, and can provide sufficient reference and support for readers who are interested in in in-depth study of related technologies. In short, it is highly recommended that all senior undergraduates, professionals and practitioners read this book!

——American choice magazine

This is a very excellent data mining textbook. The latest third edition reflects the latest development and changes in the field of data mining. The book adds the latest references since the second edition in 2006, and new sections discuss visualization, pattern mining and the latest clustering methods. This book is equipped with rich and perfect teaching aids, including supporting websites, a large number of problem sets and problem answers. Although this is a textbook of data mining, it does not have high requirements for readers, only requiring readers to have a little programming experience and understand basic knowledge of database design and statistical analysis. There are also two points worth noting: first, the bibliography of this book is a very good reference list for understanding data mining research; Second, the index in the book is very comprehensive and effective, which can help readers easily locate relevant knowledge points. Researchers and analysts in other disciplines, such as epidemiologists, financial analysts, and psychometric researchers, will also find this book very useful.

—— Computing Reviews

The huge amount of data in contemporary business and science requires us to use more complex and sophisticated tools for data analysis, processing and mining. Although the great progress of data mining technology in recent years makes it easier for us to collect data widely, the development of technology is still difficult to match the explosive growth of data and the subsequent large amount of data processing needs. Therefore, we need new technologies and automated tools more urgently than ever to help us transform these data into useful information and knowledge.

The previous edition of this book was selected as the most popular data mining monograph by the readers of KDnuggets. It is a textbook with excellent readability. It comprehensively and systematically introduces the concepts, methods, technologies and technical research progress of data mining from the perspective of database, and focuses on the important and latest topics in this field in recent years – Data Warehouse and data cube technology, stream data mining, social network mining, spatial, multimedia and other complex data mining. Each chapter has separate guidance for key topics, provides the best algorithm, and gives practical rules on how to apply technology to practical work. If you want to master and apply the most powerful data mining technology today, this book is a valuable resource you need to read and learn. This book is a must read book for all teachers, researchers, developers and users in the field of data mining and knowledge discovery.

Many algorithms and implementation examples are introduced, all written in easy to understand pseudo code, which is suitable for practical large-scale data mining projects.

Some advanced topics are discussed, such as mining object-oriented relational databases, spatial databases, multimedia databases, time series databases, text databases, the world wide web and other applications.

This paper comprehensively and practically presents the concepts and technologies used to obtain as much information as possible from massive data.

数据挖掘概念与技术 PDF

这个也是可以的,需要大家来提点意见!!

一个互联网必备技能,增长各方面见识的圈子,不只是技术~

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