Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems) Review

Average Reviews:

(More customer reviews)Are you looking to buy Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems)? Here is the right place to find the great deals. we can offer discounts of up to 90% on Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems). Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems) ReviewWhat strikes me each time I open this book is Mr Kecman's sense of pedagogy: it is a lesson in the matter. Not only his book delivers the - sometimes complex - techniques in a highly readable manner, but the concepts behind each of the main tools (SVM, NN & FL) he chose to highlight are always brilliantly put in context. One comes out of the reading with more than a set of equations but rather with a clearer picture of the field.
Mr Kecman is - without a doubt - a great teacher.
This effort to deliver a clear message is furthermore underlined through the numerous original figures: if you are like me and feel that a (good) picture speaks more than a thousand words, you will sure appreciate the way the illustrations complement the text and truly help the understanding.
I have read several other books on the subject but if I had to chose one for teaching purposes, this would be the one. I you want to build a better understanding of the field, get this book: it will pay on the long term.Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems) OverviewThis textbook provides a thorough introduction to the field of learningfrom experimental data and soft computing. Support vector machines (SVM) and neuralnetworks (NN) are the mathematical structures, or models, that underlie learning,while fuzzy logic systems (FLS) enable us to embed structured human knowledge intoworkable algorithms. The book assumes that it is not only useful, but necessary, totreat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory andalgorithms are illustrated by practical examples, as well as by problem sets andsimulated experiments. This approach enables the reader to develop SVM, NN, and FLSin addition to understanding them. The book also presents three case studies: onNN-based control, financial time series analysis, and computer graphics. A solutionsmanual and all of the MATLAB programs needed for the simulated experiments areavailable.

Want to learn more information about Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems)?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library) Review

Average Reviews:

(More customer reviews)Are you looking to buy Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library)? Here is the right place to find the great deals. we can offer discounts of up to 90% on Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library). Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library) ReviewThis is a good overall review of the subject. Contrary to what the title says, the book is very light on math. If you want to do serious work in this area, you'll need some more in depth references, but this book gets you started, and points you to the references you'll need.Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library) OverviewSince the publication of the first edition of this groundbreaking book, advances in algorithms, logic, and software tools have transformed the field of data fusion. The latest edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis, and data system fusion control. Besides aiding you in selecting the appropriate algorithm for implementing a data fusion system, this book guides you through the process of determining the trade-offs among competing data fusion algorithms, selecting commercial off the shelf (COTS) tools, and understanding when data fusion improves systems processing. Completely new chapters in this second edition explain data fusion system control, DARPAÂÂ's recently developed TRIP model, and the latest applications of data fusion in data warehousing and medical equipment, as well as defense systems.

Want to learn more information about Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library)?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data Review

Average Reviews:

(More customer reviews)Are you looking to buy The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data? Here is the right place to find the great deals. we can offer discounts of up to 90% on The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data ReviewThis was one of the few books that included a very clear and extensive treatment of information extraction techniques. There were plenty of diagrams which is great for a visual learner. All the techniques are explained using both plain English and formulas, so that you can pick up the scientific notation with minimal previous knowledge.
Even when the authors plug their own company and research at the end it was moderately useful in illustrating the concepts mentioned in a real world scenario.The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data OverviewText mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, it explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.

Want to learn more information about The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies Review

Average Reviews:

(More customer reviews)Are you looking to buy Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies? Here is the right place to find the great deals. we can offer discounts of up to 90% on Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies ReviewQuite introductory material, good for beginners (students as well as teachers planning a course) and strong in showing the links between critical discourse analysis and corpus linguistics.Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies OverviewIntroducing Electronic Text Analysis is a practical and much needed introduction to corpora-bodies of linguistic data. Written specifically for students studying this topic for the first time, the book begins with a discussion of the underlying principles of electronic text analysis. It then examines how these corpora enhance our understanding of literary and non-literary works. In the first section the author introduces the concepts of concordance and lexical frequency, concepts whichare then applied to a range of areas of language study. Key areas examined are the use of on-line corpora to complement traditional stylistic analysis, and the ways in which methods such as concordance and frequency counts can reveal a particular ideology within a text. Presenting an accessible and thorough understanding of the underlying principles of electronic text analysis, the book contains abundant illustrative examples and a glossary with definitions of main concepts. Itwill also besupported by a companion website with links to on-line corpora so that students can apply their knowledge to further study. The accompanying website to this book can be found at http://www.routledge.com/textbooks/0415320216

Want to learn more information about Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

Handbook of Statistical Analysis and Data Mining Applications Review

Average Reviews:

(More customer reviews)Are you looking to buy Handbook of Statistical Analysis and Data Mining Applications? Here is the right place to find the great deals. we can offer discounts of up to 90% on Handbook of Statistical Analysis and Data Mining Applications. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Handbook of Statistical Analysis and Data Mining Applications ReviewThe "Handbook of Statistical Analysis & Data Mining Applications" is the finest book I have seen on the subject. It is not only a beautifully crafted book, with numerous color graphs, chart, tables, and screen shots, but the statistical discussion is both clear and comprehensive.
The text does not use only one statistical data mining application to display examples, but provides a rather thorough training in the use of both SAS-Enterprise Miner and STATISTICA Data Miner. A section on SPSS Clementine is also provided, giving comparisons between the various packages. Also employed are STATISTICA's C&RT, CHAID, MARSpline, and other data mining and graphical analytic tools.
The text does not burden the typical data mining researcher with the internals of how the various tools work. It is therefore not steeped in equations. Some are to be found, of course, but the emphasis is on understanding the concepts involved and on how to apply these concepts to real data - which is provided to the reader in terms of data tutorials. Specialized datasets have been prepared by both authors and outside experts in various areas of inquiry ranging from entertainment, financial, engineering, clinical psychology, dentistry, demographics, medical informatics, meteorology, astronomy, and more. Each tutorial is associated with data stored on either the associated CD that comes with the book, or which can be downloaded from a companion web site. Worked out examples of how to use data mining techniques on such data is provided to help the reader gain a solid feel for the data mining enterprise. The final third of the book is devoted to a partial selection of the available tutorials. The two earlier chapters demonstrate how to use data mining software for the analysis of data.
I highly recommend this work to anyone having an interest in data mining. I might also add that the Amazon price of $72.37 is truly excellent for an 864 page academic text, having full color tables and screen shots on some one-third of the pages, plus a CD. A bargain indeed.
Handbook of Statistical Analysis and Data Mining Applications OverviewThe Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions.

Written "By Practitioners for Practitioners"
Non-technical explanations build understanding without jargon and equations
Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models using Statistica, SAS and SPSS software
Practical advice from successful real-world implementations
Includes extensive case studies, examples, MS PowerPoint slides and datasets
CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book


Want to learn more information about Handbook of Statistical Analysis and Data Mining Applications?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

The Art of Image Processing with Java Review

Average Reviews:

(More customer reviews)Are you looking to buy The Art of Image Processing with Java? Here is the right place to find the great deals. we can offer discounts of up to 90% on The Art of Image Processing with Java. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

The Art of Image Processing with Java ReviewDigital images have more presence than ever in today's world. "The Art of Image Processing with Java" is a guide to using the common web application Java in filing and archiving vast amounts of digital photographs for later use or use in other applications. From processing digital images based on light, color, and more, Kenny Hunt gives a complete and comprehensive guide and overview to just what Java can do with plenty of advanced techniques on editing and alterations, as well as compression. "The Art of Image Processing with Java" is a strongly recommended guide for anyone who wants to use the application to its fullest.
The Art of Image Processing with Java OverviewWhile most other image processing texts approach this subject from an engineering perspective, The Art of Image Processing with Java places image processing within the realm of both engineering and computer science students by emphasizing software design. Ideal forstudents studying computer science or software engineering, it clearly teaches them the fundamentals of image processing. Accompanied by rich illustrations that demonstrate the results of performing processing on well-known art pieces, the text builds an accessible mathematical foundation and includes extensive sample Java code. Each chapter provides exercises to help students master the material.

Want to learn more information about The Art of Image Processing with Java?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...