Managing and Mining Uncertain Data contains surveys by well known researchers in the field of uncertain databases. The book presents the most recent models, algorithms, and applications in the uncertain data field in a structured and concise way. This book is organized so as to cover the most important management and mining topics in the field. The idea is to make it accessible not only to researchers, but also to application-driven practitioners for solving real problems. Given the lack of structurally organized information on the new and emerging area of uncertain data, this book provides insights which are not easily accessible elsewhere.

Managing and Mining Uncertain Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level database students in computer science and engineering.

Editor Biography

Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has been a Research Staff Member at IBM since then, and has published over 120 papers in major conferences and journals in the database and data mining field. He has applied for or been granted over 65 US and International patents, and has thrice been designated Master Inventor at IBM for the commercial value of his patents. He has been granted 17 invention achievement awards by IBM for his patents. His work on real time bio-terrorist threat detection in data streams won the IBM Corporate award for Environmental Excellence in 2003. He is a recipient of the IBM Outstanding Innovation Award in 2008 for his scientific contributions to privacy technology, and a recipient of the IBM Research Division award for his contributions to stream mining for the System S project. He has served on the program committee of most major database conferences, and was program chair for the Data Mining and Knowledge Discovery Workshop, 2003, and program vice-chairs for the SIAM Conference on Data Mining 2007, ICDM Conference 2007, and the WWW Conference, 2009. He served as an associate editor of the IEEE Transactions on Data Engineering from 2004 to 2008. He is an associate editor of the ACM SIGKDD Explorations and an action editor of the Data Mining and Knowledge Discovery Journal. He is a senior member of the IEEE and a life-member of the ACM.

《管理和挖掘不确定数据》包含了不确定数据库领域的知名研究人员的调查。本书以结构化和简洁的方式介绍了不确定数据领域的最新模型、算法和应用。本书的组织方式涵盖了该领域中最重要的管理和挖掘主题。我们的想法是，不仅让研究人员，而且让应用驱动的从业人员也能获得解决实际问题的方法。鉴于缺乏有关不确定数据这一新兴领域的结构化信息，本书提供了在其他地方不容易获得的见解。

《管理和挖掘不确定数据》是为由教授、研究人员和工业界的从业人员组成的不同读者设计的。本书也适合作为计算机科学和工程领域高级数据库学生的参考书。

编辑传记

Charu C. Aggarwal于1993年在IIT Kanpur获得计算机科学学士学位，1996年在MIT获得博士学位。从那时起，他一直是IBM的研究人员，并在数据库和数据挖掘领域的主要会议和期刊上发表了120多篇论文。他已申请或被授予超过65项美国和国际专利，并因其专利的商业价值三次被指定为IBM的发明大师。他的专利已被IBM授予17项发明成就奖。他在数据流中的实时生物恐怖威胁检测方面的工作赢得了2003年的IBM企业卓越环境奖。由于他对隐私技术的科学贡献，他在2008年获得了IBM杰出创新奖；由于他对System S项目的流挖掘的贡献，他还获得了IBM研究部门奖。他曾在大多数主要数据库会议的程序委员会任职，并担任2003年数据挖掘和知识发现研讨会的程序主席，以及2007年SIAM数据挖掘会议、2007年ICDM会议和2009年WWW会议的程序副主席。2004年至2008年，他担任《IEEE数据工程期刊》的副编辑。他是ACM SIGKDD探索的副编辑，也是数据挖掘和知识发现杂志的行动编辑。他是IEEE的高级会员和ACM的终身会员。