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.
Download @
http://depositfiles.com/files/c5qihlnfi
or
http://uploading.com/files/C0QGH751/innovative_application.zip.html
Applied Data Mining: Statistical Methods for Business and Industry
Wiley | 376 Pages | 2003 | ISBN:0470846798 | PDF | 5,5 MB
Download @
http://depositfiles.com/files/wa4gb8zu6
or
http://uploading.com/files/FXPLAUQ4/Applied_Data.zip.html
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.”
Download @
http://rapidshare.com/files/173490098/Data_Mining_and_Predictive_Analysis.zip
Password: netbks.com
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.
Download @
http://w13.easy-share.com/1698821701.html
or
http://depositfiles.com/files/3333060
Passwordt: netbks.com
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.
Download @
http://rapidshare.com/files/81118337/Advanced_Data_Mining_Techniques.pdf
or
http://depositfiles.com/files/2935282
Passwordt: netbks.com
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.
Download @
http://rapidshare.com/files/156150741/Encyclopedia.Of.Data.Warehousing.And.Mining__netbks.com.rar
Passwordt: netbks.com
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.
Download @
http://w18.easy-share.com/1702859992.html
or
http://rapidshare.com/files/173217683/Data_Mining.rar
Posts
