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29 eBooks tagged "Data"

Related tags: Structures [+], of [+], and [+], The [+], Mining [+], Demystified [+], Algorithms [+], in [+], Visualization [+], Using [+], Handbook [+], Analysis [+], with [+], for [+], Wireless [+], Variablelength [+], Patterns [+], New [+], Multivariate [+], Methods [+], Lattice [+], Compression [+], Codes [+], Book [+], Astronomy [+], Web [+], Streams [+], Springer [+], Scalable [+], Processing [+], Principles [+], Presentation [+], PHP [+], Oracle [+], Networks [+], Molecular [+], Learning [+], Infrastructures [+], IP [+], From [+], Flexible [+], Excel [+], Essentials [+], Edition [+], Development [+], Designing [+], Correspondence [+], Controls [+], Coding [+], Biology [+], Automated [+], Architects [+], ASP.NET [+], 3rd [+], OReilly, Cookbook, Access

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Posted: February 26th, 2008, 5:32pm CET

TagsWireless Data Demystified   [edit]


Wireless data, the high-speed transfer of email, stock information, messages, and even video and audio across wireless networks, is expected to become a7.5 billion business within the next three years. This resource unpacks the networks, technologies, and protocols that make it all possible and explains how to cash in on this massive new telecom market. * Includes basic network deployment and design concepts * Covers implementing fixed wireless and WLL (wireless local loop) * Details managing and maintaining high-speed wireless data networks Read more...

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Posted: February 14th, 2008, 10:01am CET

TagsPrinciples of Data Mining   [edit]


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. Read more...

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Posted: February 3rd, 2008, 7:17pm CET

TagsHandbook of Data Visualization Springer   [edit]


Note: With 569 Figures and 50 Tables. Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization methods, both in theory and practice. There are definitive chapters on modern graphical tools such as mosaic plots, parallel coordinate plots and linked views. There are chapters dedicated to graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well as chapters on software for graphics. Specialists from all over the world have contributed papers on their areas of expertise. Table of Contents I. Data Visualization I.1 Introduction II. Principles II.1 A Brief History of Data Visualization II.2 Good Graphics? II.3 Static Graphics II.4 Data Visualization Through Their Graph Representations II.5 Graph-theoretic Graphics II.6 High-dimensional Data Visualization II.7 Multivariate Data Glyphs: Principles and Practice II.8 Linked Views for Visual Exploration II.9 Linked Data Views II.10 Visualizing Trees and Forests III. Methodologies III.1 Interactive Linked Micromap Plots for the Display of Geographically Referenced Statistical Data III.2 Grand Tours, Projection Pursuit Guided Tours, and Manual Controls III.3 Multidimension Read more...

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Posted: January 31st, 2008, 10:07pm CET

TagsVariablelength Codes for Data Compression   [edit]


Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes. However, there are a large number of less-known codes that have useful properties - such as those containing certain bit patterns, or those that are robust - and these can be useful. This book brings this large set of codes to the attention of workers in the field and to students of computer science. David Salomons clear style of writing and presentation, which has been familiar to readers for many years now, allows easy access to this topic. This comprehensive text offers readers a detailed, reader-friendly description of the variable length codes used in the field of data compression. Readers are only required to have a general familiarity with computer methods and essentially an understanding of the representation of data in bits and files. Topics and Features: Discusses codes in-depth, not the compression algorithms, which are readily available in many books Includes detailed illustrations, providing readers with a deeper and broader understanding of the topic Provides a supplementary author-maintained website, with errata and auxiliary material www.davidsalomon.name/VLCadvertis/VLC.html Easily understood and used by computer science majors requiring only a minimum of mathematics Can easily be used as a main or auxiliary textbook for courses on algebraic codes or data compression and protection An ideal companion volume to David Salomons fourth Read more...

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Posted: January 31st, 2008, 6:37pm CET

TagsVariablelength Codes for Data Compression   [edit]


Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes. However, there are a large number of less-known codes that have useful properties - such as those containing certain bit patterns, or those that are robust - and these can be useful. This book brings this large set of codes to the attention of workers in the field and to students of computer science. David Salomons clear style of writing and presentation, which has been familiar to readers for many years now, allows easy access to this topic. This comprehensive text offers readers a detailed, reader-friendly description of the variable length codes used in the field of data compression. Readers are only required to have a general familiarity with computer methods and essentially an understanding of the representation of data in bits and files. Topics and Features: Discusses codes in-depth, not the compression algorithms, which are readily available in many books Includes detailed illustrations, providing readers with a deeper and broader understanding of the topic Provides a supplementary author-maintained website, with errata and auxiliary material www.davidsalomon.name/VLCadvertis/VLC.html Easily understood and used by computer science majors requiring only a minimum of mathematics Can easily be used as a main or auxiliary textbook for courses on algebraic codes or data compression and protection An ideal companion volume to David Salomons fourth Read more...

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Posted: September 14th, 2007, 10:48am CEST

TagsData Structures Demystified   [edit]


Whether you are an entry-level or seasoned designer or programmer, learn all about data structures in this easy-to-understand, self-teaching guide that can be directly applied to any programming language. From memory and addresses to hashtables, authors Keogh and Davidson, provide clear explanations that demystify this "algebra of programming." If you've been searching for that quick, easy-to-understand guide to walk you through data structures, look no further. Data Structures Demystified is all these things and more. Whether you're trying to program stacks and linked lists or figure out hashtables, here you'll find step-by-step instructions to get the job done fast. No longer will you have to wade through thick, dry, academic tomes, heavy on technical language and information you don't need. In Data Structures Demystified, each chapter starts off with an example from everyday life to demonstrate upcoming concepts, making this a totally accessible read. The authors go a step further and offer examples at the end of the chapter illustrating what you've just learned in Java and C++. This one-of-a-kind self-teaching text offers: * An easy way to understand data structures * A quiz at the end of each chapter * A final exam at the end of the book * No unnecessary technical jargon * A time-saving approach Table of Contents Data Structures Demystified Introduction Chapter 1 - Memory, Abstract Data Types, and Addresses Chapter 2 - The Point Abou Read more...

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Posted: September 14th, 2007, 10:48am CEST

TagsThe Data Book of Astronomy   [edit]


Filled with data about the Earth, Moon, the planets, the stars, our Galaxy, and the myriad galaxies in deep space, this invaluable resource reveals the latest scientific discoveries about black holes, quasars, and the origins of the Universe. It includes maps supported by detailed tables of the names, positions, magnitudes, and spectra of the main stars in each constellation along with key data on galaxies, nebulae, and clusters. MNASSA wrote, "This book fills a niche : with detailed astronomical data and concise explanations, all at an accessible level : it is an excellent resource, and probably will be the first book I shall reach for : ." Reviews Paul Murdin, Editor-in-Chief Macmillan/IOP Encyclopedia of Astronomy and Astrophysics "Patrick Moore is the leading presenter and educator in astronomy of our age - this little book is all one needs to enjoy and learn something of this endlessly fascinating subject." Choice Magazine, May 2001 ...oriented towards amateur astronomers...unlike some other data books, this volume contains considerable explanatory material...Recommended. Read more...

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Posted: February 23rd, 2008, 6:46pm CET by Ice Zero

TagsLattice Multivariate Data Visualization with   [edit]

Multivariate Data Visualization with RPublisher: Springer; 1 edition
Language: English
ISBN: 0387759689
Paperback: 288 pages
Data: March 13, 2008
Format: PDF
Description: R is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry. Lattice brings the proven design of Trellis graphics (originally developed for S by William S. Cleveland and colleagues at Bell Labs) to R, considerably expanding its capabilities in the process. Lattice is a powerful and elegant high level data visualization system that is sufficient for most everyday graphics needs, yet flexible enough to be easily extended to handle demands of cutting edge research. Written by the author of the lattice system, this book describes it in considerable depth, beginning with the essentials and systematically delving into specific low levels details as necessary. No prior experience with lattice is required to read the book, although basic familiarity with R is assumed. The book contains close to 150 figures produced with lattice. Many of the examples emphasize principles of good graphical design; almost all use real data sets that are publicly available in various R packages. All code and figures in the book are also available online, along with supplementary material covering more advanced topics.

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Posted: February 4th, 2008, 7:22am CET by Ice Zero

TagsHandbook of Data Structures and   [edit]

Handbook of Data Structures and Applications (Chapman & Hall/Crc Computer and Information Science Series.)Publisher: Chapman & Hall/CRC; 1 edition
Language: English
ISBN: 1584884355
Paperback: 1392 pages
Data: October 28, 2004
Format: PDF
Description: Although there are many advanced and specialized texts and handbooks on algorithms, until now there was no book that focused exclusively on the wide variety of data structures that have been reported in the literature. The Handbook of Data Structures and Applications responds to the needs of students, professionals, and researchers who need a mainstream reference on data structures by providing a comprehensive survey of data structures of various types. Divided into seven parts, the text begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. The Handbook is invaluable in suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.

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Posted: January 23rd, 2008, 9:29pm CET by .::ENGiNE::.

TagsPHP Oracle Web Development Data   [edit]

Data processing, Security, Caching, XML, Web Services, and Ajax

Yuli Vasiliev "PHP Oracle Web Development: Data processing, Security, Caching, XML, Web Services, and Ajax"
Packt Publishing | 2007-08-03 | ISBN: 1847193633 | 396 pages | PDF | 3.3MB


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