This book presents the first broad look at the rapidly emerging field of data-intensive science, with the goal of influencing the worldwide scientific and computing research communities and inspiring the next generation of scientists. Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud-computing technologies. This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.

《第四范式:数据密集型科学发现》系统介绍了地球与环境科学、生命与健康科学、数字信息基础设施和数字化学术信息交流等方面基于海量数据的科研活动、过程、方法和基础设施，生动揭示了在海量数据和无处不在网络上发展起来的与实验科学、理论推演、计算机仿真这三种科研范式相辅相成的科学研究第四范式——数据密集型科学发现，进一步探讨了这种新范式的内涵和内容，包括利用多样化工具不间断采集科研数据、建立系统化工具和设施来管理整个数据生命周期、开发基于科学研究问题的数据分析及可视化工具与方法等，并深入探讨了这种新范式对科学研究、科学教育、学术信息交流及科学家群体的长远影响。
《第四范式：数据密集型科学发现》将帮助从事科学研究、科技研究规划、科技政策等领域的科研人员和管理者理解和把握科研环境与科研方法的革命性变化，也将为学术出版、文献情报、科学数据及其他从事信息与知识管理的人士提供未来的战略视角，同时也有助于有志于科学研究和学术信息交流管理的高层次学生了解未来的挑战和需求。

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. Quotes This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts. -Sanjay Ranka, University of Florida In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules). -Mohammed Zaki, Rensselaer Polytechnic Institute