本书以理论为基础，以应用为导向，用大量的实例对Access数据库的应用进行全面讲解。全书共8章，主要内容包括数据库的基础知识、Access的基本操作、表的构建、查询的创建、窗体的设计、报表的设计、宏的自动化操作，以及数据库文件的管理。知识点覆盖《全国计算机等级考试二级Access数据库程序设计》考试大纲规定的内容。在介绍Access操作方法的同时，安排大量的“动手练”案例，并且穿插“知识延伸”小体例，理论基础加实践练习，更利于读者对知识的掌握和吸收。本书内容讲解通俗易懂、案例选择贴合实际，图文并茂、易教易学，具有很强的指导性和可操作性，适合作为高等院校相关专业的教学用书，也适合作为数据管理、信息系统管理、销售、人力、财务等工作人员的参考用书，还可以作为数据库爱好者的学习用书。

本书兼顾广度和深度、应用和原理、研发和运维，对于各类大数据计算系统进行了深入的介绍，包括大数据计算系统的基本概念、各种大数据计算系统的配置与程序设计方法、大数据计算系统的运行原理、大数据计算机系统的监控、运维和调优方法等。本书适用于作为数据科学与大数据、计算机等专业本科生和研究生相关课程的教材，还可供大数据领域从业人员参考。

本书是《数据库应用技术——Visual FoxPro 6.0》一书的配套上机指导用书，内容紧扣原教材，结合初学者的实际情况，介绍了数据库的基础知识、基本操作和基本的程序设计方法。

复杂性是大数据区别于小数据的本质特性，也是当前大数据质量控制与数据治理面临的核心挑战。本书围绕大数据的复杂性开展研究，旨在探索当前数据资源建设与利用过程中面临的挑战和技术难题，促进数据价值的充分释放。全书分为6部分，共24章。第1部分概述（第1、2章），综述所研究数据控制技术的基本概念和任务定位，以及国内外的研究进展； 第2部分实体分辨技术（第3~13章），研究了高维数据实体分辨、名称分辨、XML数据实体分辨和跨模态数据实体分辨等； 第3部分真值发现技术（第14~18章），研究了单真值发现、多真值发现、文本数据真值发现，以及基于多蚁群优化和基于深度神经网络的真值发现等； 第4部分基于数据依赖的数据质量控制技术（第19~21章），研究了数据录入辅助预测与推理方法、不一致数据检测与修复方法，以及有限先验知识下的全局数据质量评估； 第5部分系统与平台（第22、23章），介绍了数据质量控制系统，以及数据治理平台的设计与实现； 第6部分结束语（第24章），归纳总结了当前面临的风险和挑战。本书务实求新，系统性强，易读性和可操作性好，既可作为数据质量控制与数据治理领域的进阶用书，又可作为数据资源建设与利用、信息技术等相关学科领域的教学参考或工程实践指导用书。

Boost Your Nonprofit's Success！　Written by a sterling group of experts for their nonprofit peers， Major Donors： Finding Big Gifts in Your Database and Online supplies all types of nonprofit organizations with the best strategies for navigating the ever-changing world of fundraising on the Internet. Truly international in its examples， research， advice， and knowledge， this book is rich with avenues and ideas about approaching prospective givers—and generous with cross-cultural tips about conducting cultivation and solicitation in various countries.　"At last， a practical book that helps us move our thinking in the critical future area of major gift fundraising. As one of the oldest techniques in the fundraiser's armory， we have sat for too long using the same frameworks and techniques; this book offers new thinking， new insights， and new approaches that will help fundraisers harness the potential of the growing band of high-net-worth individuals within their country and internationally. This book is packed with up-to-the-minute， practical information that will enhance existing major gift programs as much as it will help beginners get their head around where to start."—Tony Elischer， Managing Director， THINK Consulting Solutions　"Institutional advancement is a deeply personal process that requires in-depth understanding of our supporters， to the degree to which specific aspects of our own priorities reflect our donors' personal aspirations and interests. Prospect research is indispensable to this process and to identifying possible supporters from thousands of possible donors—it would have been impossible for the University of Toronto campaign to have succeeded in the absence of our investment in prospect research."—Dr. Jon S. Dellandrea， Pro-Vice-Chancellor， Development and External Affairs， University of Oxford　"Major Donors offers some of the best advice from some of the world's leading prospect researchers， and it will help you to become a much better fundraiser. It is a great resource and an important part of any fundraising library. When you follow the advice in this book， you will raise much more money."—Harvey McKinnon， President， Harvey McKinnon Associates author of Hidden Gold and How Today's Rich Give， and coauthor of the international bestseller The Power of Giving

This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery， DaWaK 2006， held in Krakow， Poland in September 2006 in conjunction with DEXA 2006.The 53 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in topical sections on ETL processing， materialized view， multidimensional design， OLAP and multidimensional model， cubes processing， data warehouse applications， mining techniques， frequent itemsets， mining data streams， ontology-based mining， clustering， advanced mining techniques， association rules， miscellaneous applications， and classification.

This book constitutes the refereed proceedings of the 12th International Conference on Database and Expert Systems Applications， DEXA 2001， held in Munich， Germany in September 2001. The 93 revised full papers presented were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on advanced databases， information retrieval， digital libraries， user interfaces， multimedia databases， workflow aspects， active databases， spatial databases， distributed databases， web aspects， knowledge management aspects， datawarehouses， hypermedia， indexing， object-oriented databases， database queries， and transaction processing

MySQL数据库是目前全球流行的数据库之一。《MySQL 8.0从入门到实战》从入门到实战，系统全面、由浅入深地介绍MySQL数据库应用的各个方面。全书分为8个部分，共18章。第1部分（第1~3章）介绍MySQL的基础知识，包括初识MySQL、数据库设计和数据类型；第2部分（第4~6章）介绍MySQL的基本操作，包括SQL基础操作、MySQL连接查询和数据复制、MySQL基础函数；第3部分（第7、8章）介绍MySQL高级查询函数，包括MySQL高级函数和窗口函数；第4部分（第9、10章）介绍MySQL数据表分区，包括MySQL表分区和分区管理；第5部分（第11、12章）介绍视图、存储过程、字符集排序规则的说明和使用，包括MySQL视图和存储过程、游标和字符集排序规则；第6部分（第13~15章）介绍MySQL数据查询优化，包括MySQL索引、InnoDB事务模型和锁使用、InnoDB内存结构解析和优化；第7部分（第16、17章）介绍MySQL数据运维和读写分离架构，包括MySQL数据备份和还原、MySQL主从架构；第8部分（第18章）介绍MySQL数据操作实战。每一部分和章节都是相对独立的主题，读者可以有选择性地单独阅读。此外，《MySQL 8.0从入门到实战》附有函数速查表，方便读者在实际工作中快速查找函数。《MySQL 8.0从入门到实战》适合想要从事大数据开发和提升自身技能的IT从业人员、数据库管理员、开发人员等阅读。通过丰富的理论知识和大量的实例，本书将帮助读者更好地应对在实际工作中遇到的与MySQL相关的问题。

This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining， PAKDD 2001， held in Hong Kong， China in April 2001.The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining， text mining， applications and tools， concept hierarchies， feature selection， interestingness， sequence mining， spatial and temporal mining， association mining， classification and rule induction， clustering， and advanced topics and new methods.

This book constitutes the refereed proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery， PKDD 2002， held in Helsinki， Finland in August 2002.The 39 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are kernel methods， probabilistic methods， association rule mining， rough sets， sampling algorithms， pattern discovery， web text mining， meta data clustering， rule induction， information extraction， dependency detection， rare class prediction， classifier systems， text classification， temporal sequence analysis， unsupervised learning， time series analysis， medical data mining， etc.