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Information Retrieval, Databases and data mining are the current in thing in the IT world! Learn more about the subject with these 29 absolutely free ebooks for online reading and downloading. Happy reading!

1. Theory and Applications for Advanced Text Mining
by Shigeaki Sakurai (ed.) - InTech , 2012
Text mining techniques are studied aggressively in order to extract the knowledge from the data. This book introduces advanced text mining techniques. There are various techniques from relation extraction to under or less resourced language.

信息检索、数据库和数据挖掘是IT世界目前最流行的事情!要对这方面的知识了解更多,可以在线阅读和下载下面29本绝对免费的电子书。阅读愉快!

1.高级文本挖掘理论及其应用

Shigeaki Sakurai编写,InTech在2012年出版

为了从数据中取知识,文本挖掘技术得到了积极地研究。这本书介绍了高级文本挖掘技术。其中包括从关系获取到实力不强的语言的各种技术。

2. Foundations of Databases
by Serge Abiteboul, Richard Hull, Victor Vianu - Addison Wesley , 1994
This book provides in-depth coverage of the theory concerning the logical level of database management systems, including both classical and advanced topics. It includes detailed proofs and numerous examples and exercises.

3. Internet Advertising
by S. Yuan, A.Z. Abidin, M. Sloan, J. Wang - arXiv , 2012
A comprehensive survey on Internet advertising, discussing the research issues, identifying the recent technologies, and suggesting its future directions. We start with a brief history, introduction, and classification of the industry.

4. The Theory of Relational Databases
by David Maier - Computer Science Press , 1983
The book is intended for a second course in databases and a reference for researchers in the field. The material covered includes relational algebra, functional dependencies, multivalued and join dependencies, normal forms, representation theory...
2. 数据库基础
Serge Abiteboul,Richard Hull,Victor Vianu编写,Addison Wesley在1994年出版
这本书对数据库管理系统的逻辑层次理论的经典问题和高级问题进行了深入的介绍。其中包括详细的论证和大量的例子以及练习。

3. 互联网广告
S.Yuan,A.Z.Abidin,M.Solan,J.Wang编写,arXiv公司在2012年出版
这本书综合性的纵览了互联网广告,讨论了研究的问题,确定当前的技术,给出互联网广告未来的方向。我们以这个行业的简要历史、介绍和分类作为开端。

4. 关系型数据库理论
David Maier编写,计算机科学出版社于1983年出版
这本书试图成为数据库的辅助课程和数据库领域研究的参考书。书中包含的材料包括关系代数、函数依赖、多值和连接依赖,常规报表、展示理论等
5. Data-Intensive Text Processing with MapReduce
by Jimmy Lin, Chris Dyer - Morgan & Claypool Publishers , 2010
This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns.

6. Data Mining Algorithms In R
- Wikibooks , 2010
Data mining comprises techniques and algorithms, for determining interesting patterns from large datasets. There are currently hundreds algorithms that perform tasks such as frequent pattern mining, clustering, and classification, among others.

7. An Introduction to Data Mining
by Saed Sayad - University of Toronto , 2011
Data Mining is about explaining the past and predicting the future by means of data analysis. Data mining is a multidisciplinary field which combines statistics, machine learning, artificial intelligence and database technology.
5. 使用MapReduce处理集约式文本数据
Jimmy Lin,Chris Dyer编写,Morgan & Claypool出版社于2010年出版

这本书关注的是MapReduce算法设计,着重关注的是自然语言处理、信息获取以及机器学习中常见的文本处理算法。我们简单地介绍了MapReduce设计模型的概念。

6. R语言中的数据挖掘算法
Wikibooks于2010年发表

数据挖掘由从大数据集中确定感兴趣模型的技术和算法组成。目前执行诸如频率模型挖掘、群集、分类和其他工作的算法就有几百种。

7. 数据挖掘简介
Saed Sayad编写,多伦多大学于2011年出版

数据挖掘是通过数据分析的方式解释过去和预测未来。数据挖掘是跨学科的领域,其中涉及到统计学、机器学习、人工智能和数据库技术。

8. Mining of Massive Datasets
by Anand Rajaraman, Jeffrey D. Ullman - Stanford University , 2010
At the highest level of description, this book is about data mining. However, it focuses on data mining of very large amounts of data. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web.

9. Information Retrieval: A Survey
by Ed Greengrass - University of Maryland , 2000
This is a survey of the state of the art in the dynamic field of information retrieval. Topics covered include: formulation of queries and topic statements, indexing of document collections, methods for computing the similarity of documents, etc.

10. Database Fundamentals
by Neeraj Sharma, at al. - IBM Corporation , 2010
This free e-book teaches you the fundamentals of databases, including relational database theory, logical and physical database design, and the SQL language. Advanced topics include using functions, stored procedures and XML.

8.大规模数据集的挖掘 
斯坦福大学 Anand Rajaraman, Jeffrey D. Ullman著,2010
这本书最重要的是描述了数据挖掘技术。并且,它侧重于更大规模数据的挖掘技术。正是因为它强调数量的巨大,我们的许多例子是关于Web或来源于网络的数据。

9.信息检索:一个调查
美国马里兰大学 Ed Greengrass 著 2000
这是一个在动态信息检索领域的状态调查。主题包括:查询和报表主题,文档集合索引,文档相似度计算的方法,等等。

10.数据库基础
IBM公司 -Neeraj Sharma著 2010
这本免费的电子书教你简单是数据库基础知识,包括关系型数据库理论,数据库设计的物理逻辑,以及SQL查询语音。提升篇涉及到函数,存储过程和XML的使用。

11. Multi-Relational Data Mining
by Arno Jan Knobbe - IOS Press , 2006
This thesis is concerned with Data Mining: extracting useful insights from large collections of data. With the increased possibilities in modern society for companies and institutions to gather data, this subject has become of increasing importance.

12. Natural Language Interfaces to Databases: An Introduction
by I. Androutsopoulos, G. D. Ritchie, P. Thanisch - arXiv , 1995
This paper is an introduction to natural language interfaces to databases (NLIDBs). Some advantages and disadvantages of NLIDBs are then discussed, comparing NLIDBs to formal query languages, form-based interfaces, and graphical interfaces.

13. Readings in Database Systems
by J. M. Hellerstein, M. Stonebraker - UC Berkeley , 1999
These lecture notes provide students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area.

11.多关系数据挖掘
Arno Jan Knobbe著, IOS出版 2006
这本书是关于数据挖掘:从大量的数据中提取出有用的信息。伴随着现代社会公司和机构大量数据的聚集,这个话题已经越来越显得重要了。

12.自然语言接口数据库概论
I. Androutsopoulos, G. D. Ritchie, P. Thanisch - arXiv著 1995
这本书主要介绍数据库中(NLIDBs)的自然语言接口。NLIDBs的优点和缺点都进行了讨论,把NLIDBs与正式查询语言,基于表单的接口,图像化接口进行了比较。

13.数据库系统中的读取
J.m.Hellerstein,m . Stonebraker著 -加州大学伯克利分校,1999年
这些课堂讲稿为学生和专业人士了解最近创新领域提供了一个数据库研究环境和技术背景。这篇文章涉及到了数据库领域中最重要的问题。

14. Database Systems and Structures
by Osmar R. Zaiane - Simon Fraser University , 1998
An introduction to data models, database systems, the structure and use of relational database systems and relational languages, indexing and storage management, query processing in relational databases, and the theory of relational database design.

15. Data Mining Desktop Survival Guide
by Graham Williams - Togaware Pty Ltd , 2004
Data mining is about building models from data. We build models to gain insights into the world and how the world works. A data miner, in building models, deploys many different data analysis and model building techniques.

16. Introduction to Metadata
by Tony Gill, at al. - Getty Publications , 2008
This book provides an overview of metadata, its types, roles, and characteristics; a discussion of metadata as it relates to resources on the Web; a description of methods, tools, standards, and protocols used to publish digital collections; etc.

14.数据库系统和结构
1998年 西蒙弗雷泽大学Osmar r . Zaiane  著
这本书介绍了数据模型,数据库系统,关系型数据库及关系语言的结构和使用,索引和存储管理,关系型数据库的查询处理,以及关系型数据库的设计理论。

15.数据挖掘的桌面生存指南
2004年,Togaware公司 Graham Williams著
数据挖掘是在数据中建立模型。我们通过建立模型洞察世界从而知道这个世界是怎么运作的。一个数据挖掘师,在构建模型的时候,需要用到对各种不同的数据进行分析和模型构建技术。

15.元数据导论
2008年,Tony Gill, at al. - Getty Publications出版
这本书概述了元数据类型,角色和特征;对元数据在网络上的资源进行了讨论;对方法,工具,标准和用于发布数字集合的协议进行了描述等等。

17. Database design with UML and SQL
by Tom Jewett , 2006
This text is a teaching resource for an introductory database class at California State University Long Beach, Department of Computer Engineering and Computer Science. It is also designed to be used as an individual self-study tutorial.

18. The Relational Model for Database Management
by E. F. Codd - Addison-Wesley , 1990
Written by the originator of the relational model, the book covers the practical aspects of the design of relational databases. The author defines twelve rules that database management systems need to follow in order to be described as relational.

19. An Introduction to Relational Database Theory
by Hugh Darwen - BookBoon , 2009
This book introduces the theory of relational databases, focusing on the application of that theory to the design of computer languages that properly embrace it. The book covers different topics: Types, Variables, Operators, Relational Algebra, etc.

17.数据库设计与UML和SQL
作者Tom Jewett,2006出版
这本书是加州州立大学计算机工程与技术学院数据库导论的教科书。它也可以做为一个人自学时的书籍。

18.关系模型数据库管理
作者E. F. Codd - Addison-Wesley,1990年出版
这本书由关系型数据库的原创者编写,这本书涵盖了实用方面的关系数据库设计。作者在这本书中定义了12条准则,数据库管理系统需要遵循这些准则来建立数据库关系模型。

19.介绍关系数据库理论
作者 Hugh Darwen - BookBoon,2009年出版
这本书介绍了关系型数据库理论,专注于计算机语音应用程序理论设计,并正确的使用它。这本书覆盖了不同的专题:类型、变量、运算符、关系代数等。

20. XML and Databases
by Ronald Bourret , 2005
This paper gives a high-level overview of how to use XML with databases. It describes how the differences between data-centric and document-centric documents affect their usage with databases and how XML is commonly used with relational databases.

21. Data Mining in Medical and Biological Research
by Eugenia G. Giannopoulou - InTech , 2008
This book brings together the most recent advances of data mining research in the promising areas of medicine and biology. It consists of seventeen chapters which describe interesting applications, motivating progress and worthwhile results.

22. Data Mining and Knowledge Discovery in Real Life Applications
by Julio Ponce, Adem Karahoca - InTech , 2009
This book presents different ways of theoretical and practical advances and applications of data mining in different promising areas. The book will serve as a Data Mining bible to show a right way for the students, researchers and practitioners.

20.XML和数据库
2005年 Ronald Bourret 著
这本书给出了概要介绍如何使用XML与数据库。它描述了以数据为中心和以文档为中心的文件影响数据库使用的区别,以及在关系型数据库中怎么使用XML。

21.数据挖掘技术在医学和生物学研究
2008年Eugenia G. Giannopoulou - InTech著
这本书汇集了最近利用数据挖掘技术在医学和生物学前沿领域的研究。它包括了十七个章节,描述了有趣的应用程序,激励进步和有价值的结果。

22.数据挖掘和知识发现在现实生活中应用
2009年 Julio Ponce, Adem Karahoca - InTech 著
这本书提出了不同的理论和实践进步以及数据挖掘在不同前沿领域的应用。这本书将做为学生,研究着和实践者在数据挖掘方面的参考。

23. Storage Basics: An Introduction to the Fundamentals of Storage Technology
- Fujitsu Siemens Computers , 2009
This book is an introduction to storage technologies and storage networks. It also provides an overview of the storage product portfolio of Fujitsu Siemens Computers which is the basis for solutions that help you manage the growing flood of data.

24. Data Modeling Techniques for Data Warehousing
by Chuck Ballard, et al. - IBM Redbooks , 1998
It covers data modeling techniques for data warehousing, within the context of the overall data warehouse development process. The process of data warehouse modeling, including the steps required before and after the actual modeling, is discussed.

25. Information Retrieval
by C. J. van Rijsbergen - Butterworth-Heinemann , 1979
The material of this book is aimed at advanced undergraduate information or computer science students, postgraduate library science students, and research workers in the field of IR. There is a new chapter on probabilistic retrieval.

23.存储基础知识:介绍存储技术的基本原理
2009年,由富士康西门子信息技术公司著
这本书主要介绍了数据存储技术和存储网络。它也提供了富士康西门子存储产品组合技术的一个概况,这是帮助您解决日益增长的大数据的基础。

24.数据挖掘和数据仓库技术
1998年由Chuck Ballard著 -IBM的红皮书
这本书涵盖了数据仓库和数据挖掘技术,在书中覆盖了整体的数据仓库开发过程。数据仓库的建模过程,讨论了实际建模前和建模后的步骤。

25.信息检索
1979年由 J. van Rijsbergen - 出版
这本书的材料是针对重点本科或计算机科学的学生,研究生图书馆学学生和红外光谱领域的研究人员。这里是概率检索的一个新篇章。

26. Forensic Analysis of Database Tampering
by Kyriacos E. Pavlou, Richard T. Snodgrass - University of Arizona , 2008
The text on detection via cryptographic hashing. The authors show how to determine when the tampering occurred, what data was tampered, and who did the tampering. Four successively more sophisticated forensic analysis algorithms are presented.

27. Concurrency Control and Recovery in Database Systems
by P. A. Bernstein, V. Hadzilacos, N. Goodman - Addison Wesley , 1987
This book is about techniques for concurrency control and recovery. It covers techniques for centralized and distributed computer systems, and for single copy, multiversion, and replicated databases. Example applications are included.

28. Information Retrieval Interaction
by Peter Ingwersen - Taylor Graham Publishing , 2002
The book establishes a unifying scientific approach to IR – a synthesis based on the concept of IR interaction and the Cognitive Viewpoint. It present research and developments in the field of information retrieval based on a new categorisation.

29. Introduction to Information Retrieval
by Manning, Raghavan, Schütze - Cambridge University Press , 2008
This textbook teaches web-era information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It is written from a computer science perspective by three leading experts in the field.

26. 数据库篡改的电子取证分析
Kyriacos E.Pavlou,Richard T.Snodgrass编写,Arizona大学2008年出版

通过加密哈希检测文本是否被篡改。作者展示了如何确定什么时候发生了篡改,篡改了哪些数据以及谁篡改的。然后给出了四个更加成熟的电子取证分析算法。

27. 数据库系统的并发控制和恢复
P.A.Bernstein,V.Hadzilacos,N.Goodman编写,Addison Welsley于1987年出版

这本书介绍了并发控制和恢复的技术。它包括集中式和分布式计算系统的技术,数据库单拷贝、多版本以及数据库复制技术。还包括应用的例子。

28. 信息检索交互
Peter Ingwersen编写,Taylor Graham出版社于2002年出版

这本书对信息检索建立了一个统一的科学的方法-综合了信息检索交互的概念和认知观点。它还展示了在新的分类基础上信息检索领域的研究及开发成果。

29. 信息检索简介
Manning,Raghavan,Schutze编写,剑桥大学出版社于2008年出版

这本书介绍了web时代的信息检索,其中介绍了web搜索、并从基本概念开始介绍了文本分类和文本聚簇相关领域的知识。由三个这个领域的顶级专家从计算机科学的角度编写了这本书。

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