Data Mining Methods and Models by Daniel T. Larose

Book Description
This book provides in introduction into data mining methods and models, including association rules, clustering, K-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis. It presents a unified approach based on CRISP methodology (involves Strategic Risk Assessment based on Organizational Modelling).

Table of Contents
1.  Dimension Reduction Methods
2.  Regression Modeling
3.  Multiple Regression and Model Building
4.  Logistic Regression
5.  Naive Bayes Estimation and Bayesian Networks
6.  Genetic Algorithms
7.  Case Study: Modeling Response to Direct Mail Marketing

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here (BOOK)
Resources

keywords: Download free book, Download free PDF, free e-book

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Graph-Based Clustering and Data Visualization Algorithms - Free PDF Download

Book Description
This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges characterize relations and weights represent similarities or distances) provides a compact representation of the entire complex data set. This text describes clustering and visualization methods that are able to utilize information hidden in these graphs, based on the synergistic combination of clustering, graph-theory, neural networks, data visualization, dimensionality reduction, fuzzy methods, and topology learning. The work contains numerous examples to aid in the understanding and implementation of the proposed algorithms, supported by a MATLAB toolbox available here.

Table of Contents
Vector Quantisation and Topology Based Graph Representation
Graph-Based Clustering Algorithms
Graph-Based Visualisation of High Dimensional Data

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here

keywords: Download free book, Download free PDF, free e-book

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Pattern-Oriented Software Architecture (5 Volumes)

Table of Contents
Volume 1: A System of Patterns
Patterns.
Architectural Patterns.
Design Patterns.
Idioms.
Pattern Systems.
Patterns and Software Architecture.
The Pattern Community.
Where Will Patterns Go?
Volume 2: Patterns for Concurrent and Networked Objects
1 Concurrent and Distributed Objects

2 The Patterns

3 Tying the Patterns Together

Volume 3, Patterns for Resource Management

1. Introduction.

2. Resource Acquisition.

3. Resource Lifecycle.

4. Resource Release.

5. Guidelines for Applying Resource Management.

6. Case Study: Ad Hoc Networking.

7. Case Study: Mobile Network.

8. The Past, Present, and Future of Patterns.

9. Concluding Remarks.

Volume 4: A Pattern Language for Distributed Computing

Part I Some Concepts 

1 On Patterns and Pattern Languages

2 On Distributed Systems

3 On the Pattern Language

Part II A Story 

4 Warehouse Management Process Control

5 Baseline Architecture 

6 Communication Middleware

7 Warehouse Topology 

8 The Story Behind The Pattern Story

10 Distribution Infrastructure 

11 Event Demultiplexing and Dispatching

12 Interface Partitioning 

13 Component Partitioning

14 Application Control 

15 Concurrency 

16 Synchronization 

17 Object Interaction 

18 Adaptation and Extension 

19 Modal Behavior 

21 Database Access 

22 A Departing Thought

Volume 5: On Patterns and Pattern Languages

0 Beyond the Hype
Part I Inside Patterns
1 A Solution to a Problem and More
2 A Million Different Implementations
3 Notes on Pattern Form
Part II Between Patterns
4 Pattern Islands?
5 Pattern Complements
6 Pattern Compounds
7 Pattern Sequences
8 Pattern Collections
Part III Into Pattern Languages
9 Elements of Language
10 A Network of Patterns and More
11 A Billion Different Implementations
12 Notes on Pattern Language Form
13 On Patterns versus Pattern Languages
14 From Patterns To People
15 The Past, Presence, and Future of Patterns
16 All Good Things

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here (Volume 1)
Download here (Volume 2)
Download here (Volume 3)
Download here (Volume 4)
Download here (Volume 5)

keywords: Download free book, Download free PDF, free e-book

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Age Factors in Biometric Processing (Free PDF Download)

Book Description
As biometric-based identification and identity authentication becomes increasingly widespread in their deployment, it becomes important to consider issues relating to reliability, usability and inclusion. Factors which are particularly important in this context are the relationship between the nature of the measurements extracted from a particular biometric modality, the age of the sample donor, and the effect which age has on physiological and behavioral characteristics invoked in a biometric transaction. "Age Factors in Biometric Processing" provides an overview of this topic for the rapidly expanding community of stakeholders in biometrics-based identification solutions in academia, industry and government.

Table of Contents
review of ageing and biometrics
social factors in ageing and their relevance to biometrics
using age to enhance performance in biometrics
understanding ageing processes in key biometric modalities
modality-related approaches to management of age factors
industrial perspective on biometric age factors
age prediction from biometrics data
databases and analytical implications
usability and ageing
ageing effects and implications for biometric cryptosystems
future challenges for systems delivery.

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here

keywords: Download free book, Download free PDF, free e-book

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Biometrics: Theory, Methods, and Applications

	Title:	Biometrics: Theory, Methods, and Applications
	Authors:	N. V. Boulgouris, Konstantinos N. Plataniotis, Evangelia Micheli-Tzanakou
	Edition:	2010
	Publisher:	Wiley
	Pages:	763
	Language:	English
	ISBN-10	0470247827
	ISBN-13	9780470247822
	Format:	PDF
	Size (MB):	8
	Book Description: An in-depth examination of the cutting edge of biometrics. This book fills a gap in the literature by detailing the recent advances and emerging theories, methods, and applications of biometric systems in a variety of infrastructures. Table of Contents: - Multilinear discriminant analysis for biometric signal recognition - Biometric identity authentication techniques based on neural networks - Multimodal biometrics and design of classifiers for biometric fusion - Feature selection and facial aging modeling for face recognition - Geometrical and statistical models for video-based face authentication - Near-infrared and 3D face recognition - Recognition based on fingerprints and 3D hand geometry - Iris recognition and ECG-based biometrics - Online signature-based authentication - Identification based on gait - Information theory approaches to biometrics - Biologically inspired methods and biometric encryption - Biometrics based on electroencephalography and event-related potentials Copyright Disclaimer: This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Handbook of Biometrics by Anil K. Jain, Patrick Flynn, Arun A. Ross (Free PDF Download)

Book Description
The Handbook of Biometrics -- an edited volume contributed by prominent invited researchers in Biometrics -- describes the fundamentals as well as the latest advancements in the burgeoning field of biometrics. It is designed for professionals composed of practitioners and researchers in Biometrics, Pattern Recognition and Computer Security. The Handbook of Biometrics can be used as a primary textbook for an undergraduate biometrics class. This book is also suitable as a secondary textbook or reference for advanced-level students in computer science.

Table of Contents
Introduction to Biometrics
Fingerprint Recognition
Face Recognition
Hand Geometry Recognition
The Ear as a Biometric
Voice Biometrics
On-Line Signature Verification
Introduction to Multibiometrics
Biometric System Security
Linkages between Biometrics and Forensic Science

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here

keywords: Download free book, Download free PDF, free e-book

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Advances in Biometrics for Secure Human Authentication and Recognition (Free PDF Download)

Book Description
Although biometric systems present powerful alternatives to traditional authentication schemes, there are still many concerns about their security. Advances in Biometrics for Secure Human Authentication and Recognition showcases some of the latest technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional techniques as well as novel systems that have been developed over the past few years. It presents new biometric algorithms with novel feature extraction techniques, new computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems.

Table of Contents
GENERAL BIOMETRICS
Security and Reliability Assessment for Biometric Systems
Review of Human Recognition Based on Retinal Images
ADVANCED TOPICS IN BIOMETRICS
Visual Speech as Behavioral Biometric
Human Gait Signature for Biometric Authentication
Hand-Based Biometric for Personal Identification Using Correlation Filter Classifier
On Deciding the Dynamic Periocular Boundary for Human Recognition
Retention of Electrocardiogram Features Insignificantly Devalorized as an Effect of Watermarking for a Multimodal Biometric Authentication System
Facial Feature Point Extraction for Object Identification Using Discrete Contourlet Transform and Principal Component Analysis
CASE STUDIES AND LARGE SCALE BIOMETRIC SYSTEMS
The Legal Aspects and Ethical Issues in the Use of Biometrics: A Study from Norway
Biometric Identification: Device Specification and Actual Performance Considered for the Operations of the Unique Identity Authority of India

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here

keywords: Download free book, Download free PDF, free e-book

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Classification, Parameter Estimation and State Estimation

Book Description
Classification, Parameter Estimation and State Estimation is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MATLAB. 'Prtools' is a powerful MATLAB toolbox for pattern recognition and is written and owned by one of the co-authors, B. Duin of the Delft University of Technology.

Table of Contents
Chapter 1 Introduction
Chapter 2 Detection and Classification
Chapter 3 Parameter Estimation
Chapter 4 State Estimation
Chapter 5 Supervised Learning
Chapter 6 Feature Extraction and Selection
Chapter 7 Unsupervised Learning
Chapter 8 State Estimation in Practice
Chapter 9 Worked out Examples

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

NETLAB: Algorithms for Pattern Recognition

Book Description
This volume provides students, researchers and application developers with the knowledge and tools to get the most out of using neural networks and related data modelling techniques to solve pattern recognition problems. Each chapter covers a group of related pattern recognition techniques and includes a range of examples to show how these techniques can be applied to solve practical problems.

Table of Contents
Introduction.
- Parameter Optimisation Algorithms.
- Density Modelling and Clustering.
- Single-Layer Networks.
- The Multi-Layer Perceptron.
- Radial Basis Functions.
- Visualisation and Latent Variable Models.
- Sampling.
- Bayesian Techniques.
- Gaussian Processes.
- Linear Algebra and Matrices.
- Algorithm Error Analysis.
- Function Index.
- Subject Index.

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here (Book DJVU)
Download here (Source Codes)

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Multi-Sensor Data Fusion with MATLAB

	Title:	Multi-Sensor Data Fusion with MATLAB
	Authors:	Jitendra R. Raol
	Edition:	2009
	Publisher:	CRC Press
	Pages:	568
	Language:	English
	ISBN-10	1439800030
	ISBN-13	978-1439800034
	Format:	PDF + MATLAB programs (ZIP)
	Size (MB):	8
	Book Description: Fusing sensors’ data can lead to numerous benefits in a system’s performance. Through real-world examples and the evaluation of algorithmic results, this detailed book provides an understanding of MSDF concepts and methods from a practical point of view. Table of Contents: Theory of Data Fusion and Kinematic-Level Fusion, J.R. Raol, G. Girija, and N. Shanthakumar Introduction Concepts and Theory of Data Fusion Strategies and Algorithms for Target Tracking and Data Fusion Performance Evaluation of Data Fusion Systems, Software, and Tracking Fuzzy Logic and Decision Fusion, J.R. Raol and S.K. Kashyap Introduction Theory of Fuzzy Logic Decision Fusion Performance Evaluation of Fuzzy Logic-Based Decision Systems Pixel and Feature-Level Image Fusion, J.R. Raol and V.P.S. Naidu Introduction Pixel- and Feature-Level Image Fusion Concepts and Algorithms Performance Evaluation of Image-Based Data Fusion Systems A Brief on Data Fusion in Other Systems, Ajith Gopal and Simukai Utete Introduction: Overview of Data Fusion in Mobile Intelligent Autonomous Systems Intelligent Monitoring and Fusion Copyright Disclaimer: This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Data Mining: Concepts and Techniques

Book Description
Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Table of Contents
Chapter 1. Introduction
Chapter 2. Getting to Know Your Data
Chapter 3. Data Preprocessing
Chapter 4. Data Warehousing and Online Analytical Processing
Chapter 5. Data Cube Technology
Chapter 6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods
Chapter 7. Advanced Pattern Mining
Chapter 8. Classification: Basic Concepts
Chapter 9. Classification: Advanced Methods
Chapter 10. Cluster Analysis: Basic Concepts and Methods
Chapter 11. Advanced Cluster Analysis
Chapter 12. Outlier Detection
Chapter 13. Data Mining Trends and Research Frontiers

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here (3rd Ed.)
Download here (2nd Ed.)

Download here (Solution Manual 2nd Ed.)

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Introduction to Pattern Recognition: A Matlab Approach

Book Description
An accompanying manual to Theodoridis/Koutroumbas, Pattern Recognition, that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.

Table of Contents
CHAPTER 1 - Classifiers Based on Bayes Decision Theory
CHAPTER 2 - Classifiers Based on Cost Function Optimization
CHAPTER 3 - Data Transformation Feature Generation and Dimensionality Reduction
CHAPTER 4 - Feature Selection
CHAPTER 5 - Template Matching
CHAPTER 6 - Hidden Markov Models
CHAPTER 7 - Clustering

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here (Book)
Download here (Matlab Files)

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Pattern Recognition by S. Theodoridis

Book Description
This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback.

Table of Contents
1. Introduction
2. Classifiers based on Bayes Decision
3. Linear Classifiers
4. Nonlinear Classifiers
5. Feature Selection
6. Feature Generation I: Data Transformation and Dimensionality Reduction
7. Feature Generation II
8. Template Matching
9. Context Depedant Clarification
10. System Evaultion
11. Clustering: Basic Concepts
12. Clustering Algorithms: Algorithms L Sequential
13. Clustering Algorithms II: Hierarchical
14. Clustering Algorithms III: Based on Function Optimization
15. Clustering Algorithms IV: Clustering
16. Cluster Validity

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here (2nd Ed.)
Download here (3rd Ed.)
Download here (4th Ed.)

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.

Neural Networks: A Comprehensive Foundation by Simon Haykin

Book Description
This book is for graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science.
Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Thoroughly revised.

Table of Contents
 1. Introduction.
 2. Learning Processes.
 3. Single-Layer Perceptrons.
 4. Multilayer Perceptrons.
 5. Radial-Basis Function Networks.
 6. Support Vector Machines.
 7. Committee Machines.
 8. Principal Components Analysis.
 9. Self-Organizing Maps.
10. Information-Theoretic Models.
11. Stochastic Machines & Their Approximates Rooted in Statistical Mechanics.
12. Neurodynamic Programming.
13. Temporal Processing Using Feedforward Networks.
14. Neurodynamics.
15. Dynamically Driven Recurrent Networks.

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
LINK 1
LINK 2
LINK 3
LINK 4

Copyright Disclaimer
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.