Tag Archives: Algorithms

Introduction to Reconfigurable Computing: Architectures, Algorithms, and Applications (by Christophe Bobda)


Author(s): Christophe Bobda

Publisher: Springer
Publish date: 2007-11-09
ISBN-10: 1402060882
ISBN-13: 9781402060885
Language: English
Description:
This work is a comprehensive study of the field. It provides an
entry point to the novice willing to move in the research field
reconfigurable computing, FPGA and system on programmable chip
design. The book can also be used as teaching reference for a
graduate course in computer engineering, or as reference to
advance electrical and computer engineers. It provides a very
strong theoretical and practical background to the field, from
the early Estrin’s machine to the very modern architecture such
as embedded logic devices.

Read Source: Introduction to Reconfigurable Computing: Architectures, Algorithms, and Applications (by Christophe Bobda)»

Data Mining: Theories, Algorithms, and Examples

Editorial Reviews

New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through the algorithms.

The book covers a wide range of data mining algorithms, including those commonly found in data mining literature and those not fully covered in most of existing literature due to their considerable difficulty. The book presents a list of software packages that support the data mining algorithms, applications of the data mining algorithms with references, and exercises, along with the solutions manual and PowerPoint slides of lectures.

The author takes a practical approach to data mining algorithms so that the data patterns produced can be fully interpreted. This approach enables students to understand theoretical and operational aspects of data mining algorithms and to manually execute the algorithms for a thorough understanding of the data patterns produced by them.

Table of Contents

Part I: An Overview of Data Mining
Chapter 1: Introduction to Data, Data Patterns, and Data Mining

Part II: Algorithms for Mining Classification and Prediction Patterns
Chapter 2: Linear and Nonlinear Regression Models
Chapter 3: Naïve Bayes Classifier
Chapter 4: Decision and Regression Trees
Chapter 5: Artificial Neural Networks for Classification and Prediction
Chapter 6: Support Vector Machines
Chapter 7: k-Nearest Neighbor Classifier and Supervised Clustering

Part III: Algorithms for Mining Cluster and Association Patterns
Chapter 8: Hierarchical Clustering
Chapter 9: K-Means Clustering and Density-Based Clustering
Chapter 10: Self-Organizing Map
Chapter 11: Probability Distributions of Univariate Data
Chapter 12: Association Rules
Chapter 13: Bayesian Network

Part IV: Algorithms for Mining Data Reduction Patterns
Chapter 14: Principal Component Analysis
Chapter 15: Multidimensional Scaling

Part V: Algorithms for Mining Outlier and Anomaly Patterns
Chapter 16: Univariate Control Charts
Chapter 17: Multivariate Control Charts

Part VI: Algorithms for Mining Sequential and Temporal Patterns
Chapter 18: Autocorrelation and Time Series Analysis
Chapter 19: Markov Chain Models and Hidden Markov Models
Chapter 20: Wavelet Analysis

Book Details

  • Author:
  • Pages: 349 pages
  • Edition: 1
  • Publication Date: 2013-07-26
  • Publisher:
  • Language: English
  • ISBN-10: 1439808384
  • ISBN-13: 9781439808382

Book Preview

Click to Look Inside This eBook: Browse Sample Pages

PDF eBook Free Download

Note: There is a file embedded within this post, please visit this post to download the file.

The post Data Mining: Theories, Algorithms, and Examples appeared first on Fox eBook.

Read Source: Data Mining: Theories, Algorithms, and Examples»

Data Mining: Theories, Algorithms, and Examples (Human Factors and Ergonomics) (by Nong Ye)


Author(s): Nong Ye

Publisher: CRC Press
Publish date: 2013-07-26
ISBN-10: 1439808384
ISBN-13: 9781439808382
Language: English
Description:
New technologies have enabled us to collect massive amounts of
data in many fields. However, our pace of discovering useful
information and knowledge from these data falls far behind our
pace of collecting the data. Data Mining: Theories,
Algorithms, and Examples introduces and explains a
comprehensive set of data mining algorithms from various data
mining fields. The book reviews theoretical rationales and
procedural details of data mining algorithms, including those
commonly found in the literature and those presenting
considerable difficulty, using small data examples to explain and
walk through the algorithms.

The… more…

Read Source: Data Mining: Theories, Algorithms, and Examples (Human Factors and Ergonomics) (by Nong Ye)»

Data Mining: Theories, Algorithms, and Examples (Human Factors and Ergonomics) (by Nong Ye)


Author(s): Nong Ye

Publisher: CRC Press
Publish date: 2013-07-26
ISBN-10: 1439808384
ISBN-13: 9781439808382
Language: English
Description:
New technologies have enabled us to collect massive amounts of
data in many fields. However, our pace of discovering useful
information and knowledge from these data falls far behind our
pace of collecting the data. Data Mining: Theories,
Algorithms, and Examples introduces and explains a
comprehensive set of data mining algorithms from various data
mining fields. The book reviews theoretical rationales and
procedural details of data mining algorithms, including those
commonly found in the literature and those presenting
considerable difficulty, using small data examples to explain and
walk through the algorithms.

The… more…

Read Source: Data Mining: Theories, Algorithms, and Examples (Human Factors and Ergonomics) (by Nong Ye)»

Parallel Scientific Computing: Theory, Algorithms, and Applications of Mesh Based and Meshless Methods (SpringerBriefs in Computer Science) (by Roman Trobec, Gregor Kosec)


Author(s): Roman Trobec, Gregor Kosec

Publisher: Springer
Publish date: 2015-03-27
ISBN-10: 3319170724
ISBN-13: 9783319170725
Language: English
Description:
This book is concentrated on the synergy between computer science
and numerical analysis. It is written to provide a firm
understanding of the described approaches to computer scientists,
engineers or other experts who have to solve real problems. The
meshless solution approach is described in more detail, with a
description of the required algorithms and the methods that are
needed for the design of an efficient computer program. Most of
the details are demonstrated on solutions of practical problems,
from basic to more complicated ones. This book will be a useful
tool for any reader interested in solving complex problems in… more…

Read Source: Parallel Scientific Computing: Theory, Algorithms, and Applications of Mesh Based and Meshless Methods (SpringerBriefs in Computer Science) (by Roman Trobec, Gregor Kosec)»

Computational Geometry-Methods, Algorithms, and Applications, 91: International Workshop on Computational Geometry Cg ’91, Bern, Switzerland, March 2 (Lecture Notes in Computer Science) (by switzerla International Workshop on Computational Geometry 1991 Bern, H. Bieri)


Author(s): switzerla International Workshop on Computational Geometry 1991 Bern, H. Bieri

Publisher: Springer-Verlag
Publish date: 1991-12
ISBN-10: 0387548912
ISBN-13: 9780387548913
Language: English
Description: This volume presents the proceedings of the Seventh International
Workshop on Computational Geometry, CG'91, held at the University
of Berne, Switzerland, March 21/22, 1991. Computational geometry is
not a precisely defined field. Often, it is understood as a nearly
mathematical discipline, dealing mainly with complexity questions
concerning geometrical problems and algorithms. But often too, and
perhaps increasingly, questions of more practical relevance are
central, such as applicability, numerical behavior and performance
for all kinds of input size. Topics considered in CG'91 include: –
Generalizations and applications of the Voronoi diagram -… more…

Read Source: Computational Geometry-Methods, Algorithms, and Applications, 91: International Workshop on Computational Geometry Cg ’91, Bern, Switzerland, March 2 (Lecture Notes in Computer Science) (by switzerla International Workshop on Computational Geometry 1991 Bern, H. Bieri)»

Adaptive Signal Models: Theory, Algorithms, and Audio Applications (The Springer International Series in Engineering and Computer Science) (by Michael M. Goodwin)


Author(s): Michael M. Goodwin

Publisher: Springer
Publish date: 2012-09-05
ISBN-10: 1461346509
ISBN-13: 9781461346500
Language: English
Description: Adaptive Signal Models: Theory, Algorithms and Audio
Applications presents methods for deriving mathematical models
of natural signals. The introduction covers the fundamentals of
analysis-synthesis systems and signal representations. Some of the
topics in the introduction include perfect and near-perfect
reconstruction, the distinction between parametric and
nonparametric methods, the role of compaction in signal modeling,
basic and overcomplete signal expansions, and time-frequency
resolution issues. These topics arise throughout the book as do a
number of other topics such as filter banks and
multiresolution.
The second chapter gives a detailed… more…

Read Source: Adaptive Signal Models: Theory, Algorithms, and Audio Applications (The Springer International Series in Engineering and Computer Science) (by Michael M. Goodwin)»