29 Free eBooks On Databases, Data Mining And Information Retrieval Here we bring to you 29 ebooks on Databases, Data Mining and Information Retrieval absolutely free! Read, explore and share. 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. 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... 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. 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. 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. 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. 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. 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. 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. 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. via: efy times
Posted on: Fri, 01 Nov 2013 04:58:29 +0000
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