C.J. Date "SQL and Relational Theory - How to Write Accurate SQL Code 1st Edition"
February 5, 2009 | English | ISBN-13: 978-0-596-52306-0 | 432 Pages | PDF | 6.62 MB
Understanding SQL's underlying theory is the best way to guarantee that your SQL code is correct and your database schema is robust and maintainable. On the other hand, if you're not well versed in the theory, you can fall into several traps. In SQL and Relational Theory, author C.J. Date demonstrates how you can apply relational theory directly to your use of SQL. With numerous examples and clear explanations of the reasoning behind them, you'll learn how to deal with common SQL dilemmas, such as:
* Should database access granted be through views instead of base tables?
* Nulls in your database are causing you to get wrong answers. Why? What can you do about it?
* Could you write an SQL query to find employees who have never been in the same department for more than six months at a time?
* SQL supports "quantified comparisons," but they're better avoided. Why? How do you avoid them?
* Constraints are crucially important, but most SQL products don't support them properly. What can you do to resolve this situation?
Database theory and practice have evolved since Edgar Codd originally defined the relational model back in 1969. Independent of any SQL products, SQL and Relational Theory draws on decades of research to present the most up-to-date treatment of the material available anywhere. Anyone with a modest to advanced background in SQL will benefit from the many insights in this book.
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Database Management Systems, 2nd edition
Publisher: McGraw-Hill | ISBN: 0072322063 | edition 1999 | PDF | 936 pages | 3,21 mb
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Mysql Bible
This book is divided into five parts: Getting Starated with MySQL and Relational Databases; Understanding SQL Through MySQL; MySQL Administration; MySQL Developer Guide; and Advanced and Specialized MySQL Topics. Comprehensive coverage: This Bible covers both beginning-level and advanced topics. Topics covered include: introduction to relational database management; installing and configuring MySQL on the Linux, Windows 2000, and Mac OS X operating systems; MySQL security; debugging and repairing MySQL databases and servers; MySQL performance tuning; and developing MySQL applications with Perl and PHP. Coverage of NuSphere MySQL: Due to the growing popularity of the NuSphere MySQL package, this book covers its enhancements and how to install and develop with NuSphere MySQL. Running database application: This book builds an e-commerce sample database application throughout to demonstrate concepts and topics.
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Innovative Applications in Data Mining (Studies in Computational Intelligence)
Springer-Verlag | 124 Pages | 01 February 2009 | ISBN:3540880445 | PDF | 22 MB
Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets.
This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book.
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Applied Data Mining: Statistical Methods for Business and Industry
Wiley | 376 Pages | 2003 | ISBN:0470846798 | PDF | 5,5 MB
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Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis
“[Data Mining and Predictive Analysis] is a must-read…, blending analytical horsepower with real-life operational examples. Operators owe it to themselves to dig in and make tactical decisions more efficiently, and learn the language that sells good tactics to leadership. Analysts, intell support, and leaders owe it to themselves to learn a new way to attack the problem in support of law enforcement, security, and intelligence operations. Not just a dilettante academic, Dr. McCue is passionate about getting the best tactical solution in the most efficient way-and she uses data mining to do it. Understandable yet detailed, [Data Mining and Predictive Analysis] puts forth a solid argument for integrating predictive analytics into action. Not just for analysts!”
- Tim King (Director, Special Programs and Global Business Development, ArmorGroup International Training)
“Dr. McCue’s clear and brilliant guide to attacking society’s greatest threats reveals how to best combine the powers of statistical computation and the experience of domain experts. Her emphasis on understanding the essential data through fieldwork and close partnership with the end users of the information is vital to making the discovered patterns “actionable”. Anyone seeking to harness the power of data mining to “connect the dots” or “find needles in a haystack” will benefit from this lively and reliable book packed with practical techniques proven effective on tough real-world problems.”
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Principles of Data Mining
Max Bramer “Principles of Data Mining”
Springer | 2007-03-28 | ISBN:1846287650 | 344 pages | PDF | 2 Mb
Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.
This book explains and explores the principal techniques of Data Mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This should prove of value to readers of all kinds, from those whose only use of data mining techniques will be via commercial packages right through to academic researchers.
This book aims to help the general reader develop the necessary understanding to use commercial data mining packages discriminatingly, as well as enabling the advanced reader to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.
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Advanced Data Mining Techniques
David L. Olson , Dursun Delen, ” Advanced Data Mining Techniques”
Springer; 1 edition (February 1, 2008) | ISBN: 3540769161 | 180 pages | PDF | 1,1 Mb
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focusses on business applications of data mining. Methods are presented with simple examples, applications are reviewed, and relativ advantages are evaluated.
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Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Product Description
Data Warehousing and Mining: Concepts, Methodologies, Tools and Applications provides the most comprehensive compilation of research available in this emerging and increasingly important field. This six-volume set offers tools, designs, and outcomes of the utilization of data warehousing and mining technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data warehousing and mining.
About the Author
John Wang is a full professor at Montclair State University. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. He has published more than 100 refereed papers and five books. He has also developed several computer software programs based on his research findings. He is the Editor of the Encyclopedia of Data Warehousing and Mining, 1st and 2nd Edition. Also, he is the Editor-in-Chief of International Journal of Applied Management Science, International Journal of Information Systems and Supply Chain Management, International Journal of Data Analysis Techniques and Strategies, International Journal of Information Systems in the Service Sector. He has served as a guest editor and referee for many other highly prestigious journals. His long-term research goal is on the synergy of operations research, data mining and cybernetics.
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Data Mining: Know It All
Soumen Chakrabarti, Earl Cox, Eibe Frank and oth. "Data Mining: Know It All"
Morgan Kaufmann | 2008-11-21 | ISBN: 0123746299 | 336 pages | PDF | 3,8 MB
This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology.
The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining.
This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.
* Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints.
* Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions.
* Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.
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Data Conversion Handbook
ISBN: 9780750678414 | 976 pages | 2004-12-16 | PDF | 22 Mb
This comprehensive handbook is a one-stop engineering reference. Covering data converter fundamentals, techniques, applications, and beginning with the basic theoretical elements necessary for a complete understanding of data converters, this reference covers all the latest advances in the field.
This text describes in depth the theory behind and the practical design of data conversion circuits as well as describing the different architectures used in A/D and D/A converters. Details are provided on the design of high-speed ADCs, high accuracy DACs and ADCs, and sample-and-hold amplifiers. Also, this reference covers voltage sources and current reference, noise-shaping coding, and sigma-delta converters, and much more. The book's 900-plus pages are packed with design information and application circuits, including guidelines on selecting the most suitable converters for particular applications.
You'll find the very latest information on:
· Data converter fundamentals, such as key specifications, noise, sampling, and testing
· Architectures and processes, including SAR, flash, pipelined, folding, and more
· Practical hardware design techniques for mixed-signal systems, such as driving ADCs, buffering DAC outputs, sampling clocks, layout, interfacing, support circuits, and tools.
· Data converter applications dealing with precision measurement, data acquisition, audio, display, DDS, software radio and many more.
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Database Solutions :A Step-By-Step Guide To Building Database
Provides detailed instruction on using UML for data modeling with ready-to-use data models and databases and examples for building your own database in Oracle and Access. Softcover. CD-ROM included.
From the Back Cover
Database Solutions:A Step-by-Step Guide to Building Databases by Thomas Connolly & Carolyn Begg
Do you carry the world on your shoulders? Does every request for a new business system from Senior Management land on your desk? Are you responsible for designing and creating the databases that keep your business running? Would you like to make the design and build process smoother, quicker and more reliable?
Recipe for disaster:
* Take one RDMS
* Follow instructions on packet
Recipe for success:
* Take one RDMS n any of the major commercial products will do***Oracle***Inform ix***SQL Server***Access***Pa radox
* Add one thorough reading of Database Solutions if you are an inexperienced database designer, or one recap of the methodology if you are an old hand
* Use the design and implementation frameworks to plan your timetable
* Measure out a common data model that fits your requirements and adapt as necessary
* Weigh up advice and tips from the authors - experienced professionals
Make life easy. Look in this book and CD-ROM for:
* Step-by-step instructions on designing and building databases
* Advice and tips on building a successful database
* Comprehensive guidance on avoiding pitfalls and traps
* How to create data models using the new design notation, UML (with appendices mapping to Chen's notation and the Crow's Feet notation)
* Shortcuts: 15 sample data models to adapt to your needs, chosen from 7 common business areas, plus SQL scripts for each
* Two full length, coded example databases written on Microsoft Access 97 and Oracle 8
* Evaluation copy of Rational's UML visual modelling tool, Rose.
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