<P>Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment...
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Once you’ve learned to program, you run into real-world problems that require more than a programming language alone to solve. Data Structures and Algorithms in Java is a gentle immersion into the most practical ways to make data do what you want it to do. Lafore’s relaxed mastery of the techniques comes through as though [...]
Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to the problems either in industry or science. Currently, the data mining community is focusing on new problems such as: mining new kinds of patterns, mining patterns under constraints, considering new kinds of complex data, and real-world applications of these concepts. Data Mining Patterns: New Methods and Applications provides an overall view of the recent solutions for mining, and also explores new kinds of patterns. This book offers theoretical frameworks and presents challenges and their possible solutions concerning pattern extractions, emphasizing both research techniques and real-world applications. Data Mining Patterns: New Methods and Applications portrays research applications in data models, techniques and methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming, incremental mining, and many other topics. (more…)
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...
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...
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...
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...
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...
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...
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...
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...
A resilient storage network is an environment where data is always available for the needs of the business. This book explains the components, as well as how to design and implement a resilient storage network for workgroup, departmental, and enterprise environments. Storage networks are an enabling capability combining technology and best practices to provide the foundation to support
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...

Title : Data Analysis in Molecular Biology and Evolution
Author : Xuhua Xia
Publisher: Springer
ISBN : 0 - 792 - 37500 - 9
PDF | 284 pages | English
Data Analysis in Molecular Biology and Evolution introduces biologists to DAMBE, a proprietary, user-friendly computer program for molecular data analysis.
The unique combination of this book and software will allow biologists not only to understand the rationale behind a variety of computational tools in molecular biology and evolution, but also to gain instant access to these tools for use in their laboratories.
Data Analysis in Molecular Biology and Evolution serves as an excellent resource for advanced level undergraduates or graduates as well as for professionals working in the field.
Download :
http://rapidshare.com/files/32198605/Data_Analysis_in_Molecular_Biology___Evolution.pdf
(Size = 7.5 MB)

Author(s) : Michael McMillan
Publisher : Cambridge
Year : Mar 2005
ISBN 10 : 0521547652
ISBN 13 : 9780521547659
Language : English
Pages : 412
File type : PDF
Size : 1.2 MB
This is the first Visual Basic.NET (VB.NET) book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will and a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those that must be developed by the programmer.
This book is written primarily as a practical overview of the data structures and algorithms all serious computer programmers need to know and understand. Given this, there is no formal analysis of the data structures and algorithms covered in the book. Hence, there is not a single mathematical formula and not one mention of Big O analysis (for the latter the reader is referred to any of the books listed in the bibliography). Instead, the various data structures and algorithms are presented as problem-solving tools. We use simple timing tests to compare the performance of the data structures and algorithms discussed in the book.
This book can be used in both beginning and advanced computer programming courses that use the VB.NET language and, most importantly, by the professional Visual Basic programmer.
TABLE OF CONTENT:
Chapter 01 - Collections
Chapter 02 - Arrays and ArrayLists
Chapter 03 - Basic Sorting Algorithms
Chapter 04 - Basic Searching Algorithms
Chapter 05 - Stacks and Queues
Chapter 06 - The BitArray Class
Chapter 07 - Strings, the String Class, and the StringBuilder Class
Chapter 08 - Pattern Matching and Text Processing
Chapter 09 - Building Dictionaries
Chapter 10 - Hashing and the HashTable Class
Chapter 11 - Linked Lists
Chapter 12 - Binary Trees and Binary Search Trees
Chapter 13 - Sets
Chapter 14 - Advanced Sorting Algorithms
Chapter 15 - Advanced Data Structures and Algorithms for Searching
Chapter 16 - Graphs and Graph Algorithms
Chapter 17 - Advanced Algorithms
>> Download here <<
password:
ganelon
LANGUAGE : English
FORMAT : PDF
SIZE : 05 x 2.88 MB
Quote:
[ R e l e a s e N o t e s ]
Because the analysis of copious amounts of data and the preparation of
custom reports often take away time from true research, the automation
of these processes is paramount to ensure productivity. Exploring the
core areas of automation, report generation, data acquisition, and data
analysis, Automated Data Analysis Using Excel illustrates how to
minimize user intervention, automate parameter setup, obtain consistency
in both analysis and reporting, and save time through automation.
Focusing on the built-in Visual Basic(r) for Applications (VBA) scripting
language of Excel(r), the book shows step-by-step how to construct useful
automated data analysis applications for both industrial and academic
settings. It begins by discussing fundamental elements, the methods for
importing and accessing data, and the creation of reports. The author
then describes how to use Excel to obtain data from non-native sources,
such as databases and third-party calculation tools. After providing the
means to access any required information, the book explains how to
automate manipulations and calculations on the acquired data sources.
Collecting all of the concepts previously discussed in the book, the
final chapter demonstrates from beginning to end how to create a
cohesive, robust application. With an understanding of this book,
readers should be able to construct applications that can import data
from a variety of sources, apply algorithms to data that has been
imported, and create meaningful reports based on the results.
U
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Data Structures DemystifiedMcgraw-Hill Osborne Media; 1 edition | ISBN: 0072253592 | 300 pages | February 27, 2004 | CHM 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 [...]

Author(s) : Michael McMillan
Publisher : Cambridge
Year : Mar 2005
ISBN 10 : 0521547652
ISBN 13 : 9780521547659
Language : English
Pages : 412
File type : PDF
Size : 1.2 MB
This is the first Visual Basic.NET (VB.NET) book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will and a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those that must be developed by the programmer.
This book is written primarily as a practical overview of the data structures and algorithms all serious computer programmers need to know and understand. Given this, there is no formal analysis of the data structures and algorithms covered in the book. Hence, there is not a single mathematical formula and not one mention of Big O analysis (for the latter the reader is referred to any of the books listed in the bibliography). Instead, the various data structures and algorithms are presented as problem-solving tools. We use simple timing tests to compare the performance of the data structures and algorithms discussed in the book.
This book can be used in both beginning and advanced computer programming courses that use the VB.NET language and, most importantly, by the professional Visual Basic programmer.
TABLE OF CONTENT:
Chapter 01 - Collections
Chapter 02 - Arrays and ArrayLists
Chapter 03 - Basic Sorting Algorithms
Chapter 04 - Basic Searching Algorithms
Chapter 05 - Stacks and Queues
Chapter 06 - The BitArray Class
Chapter 07 - Strings, the String Class, and the StringBuilder Class
Chapter 08 - Pattern Matching and Text Processing
Chapter 09 - Building Dictionaries
Chapter 10 - Hashing and the HashTable Class
Chapter 11 - Linked Lists
Chapter 12 - Binary Trees and Binary Search Trees
Chapter 13 - Sets
Chapter 14 - Advanced Sorting Algorithms
Chapter 15 - Advanced Data Structures and Algorithms for Searching
Chapter 16 - Graphs and Graph Algorithms
Chapter 17 - Advanced Algorithms
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password:
ganelon
Publisher: Sams; 2 edition
Language: English
ISBN: 0672324539
Paperback: 800 pages
Data: November 16, 2002
Format: PDF
Description: Data Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are revised to work with the latest version of the Java JDK, and questions and exercises will be added at the end of each chapter making the book even more useful.
Publisher: 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.
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.
Hardcover: 720 pages
Publisher: Lawrence Erlbaum; 1 edition (April 1, 2003)
Language: English
ISBN-10: 0805840818
ISBN-13: 978-0805840810
Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials.
Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to the problems either in industry or science. Currently, the data mining community is focusing on new problems such as: mining new kinds of patterns, mining patterns under constraints, considering new kinds of complex data, and real-world applications of these concepts. Data Mining Patterns: New Methods and Applications provides an overall view of the recent solutions for mining, and also explores new kinds of patterns. This book offers theoretical frameworks and presents challenges and their possible solutions concerning pattern extractions, emphasizing both research techniques and real-world applications. Data Mining Patterns: New Methods and Applications portrays research applications in data models, techniques and methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming, incremental mining, and many other topics. (more…)
Hardcover: 864 pages
Publisher: Wiley (March 31, 2003)
Language: English
ISBN-10: 0470848561
ISBN-13: 978-0470848562
Data Networking is a capability that allows users to combine separate data bases, telecommunication systems, and specialised computer operations into a single integrated system, so that data communication can be handled as easily as voice messages. Data communications is the problem of getting information from one place to another reliably (secure both from channel disruptions and deliberate interference) while conforming to user requirements. IP (Internet protocol) is the central pillar of the Internet and was designed primarily for internetworking as being a simple protocol almost any network could carry.