Learn IT - Books tags clustering

Text, Speech and Dialogue

Springer, 2004

This book constitutes the refereed proceedings of the 7th International Conference on Text, Speech and Dialogue, TSD 2004, held in Brno, Czech Republic, in September 2004.

The 78 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 128 submissions. The papers present a wealth of...

Analysis of Biological Networks (Wiley Series in Bioinformatics)

John Wiley & Sons, 2008

An introduction to biological networks and methods for their analysis

Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks...

Designing Storage for Exchange 2007 SP1 (Digital Press Storage Technologies)

Digital Press, 2008

The more important data storage gets, the more admins need this guide to maximize Microsoft server storage performance and efficiency.

This book will help you understand the new choices and possibilities available in designing your storage environment for Microsoft Exchange Server 2007 SP1. The move of Microsoft Exchange...

Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

John Wiley & Sons, 2009

This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD). NMF/NTF and their extensions are increasingly used as tools in signal and...

Microsoft SQL Server 2008 High Availability with Clustering & Database Mirroring

McGraw-Hill, 2009

Create a Highly Available Microsoft SQL Server 2008 Environment

Written by the technical director for SQL Server Magazine, this expert guide shows you how to implement clustering and database mirroring in SQL Server 2008. Learn proven techniques for ensuring zero database loss, avoiding system downtime, and providing...

Using OpenRefine

Packt Publishing, 2013

The essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the Web

Overview

Create links between your dataset and others in an instant

Effectively transform data with regular expressions and the General Refine Expression Language

The Image Processing Handbook, Third Edition

CRC Press, 1998

Image Processing Handbook covers methods for two different purposes:

improving the visual appearance of images to a human viewer

preparing images for measurement of the features and structures present

The handbook presents an extensive collection of image processing tools, enabling the user of computer-based system to...

Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms

Springer, 2005

This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks:...

Professional SQL Server 2005 Administration (Wrox Professional Guides)

Wrox Press, 2006

SQL Server 2005 is the largest leap forward for SQL Server since its inception. With this update comes new features that will challenge even the most experienced SQL Server DBAs. Written by a team of some of the best SQL Server experts in the industry, this comprehensive tutorial shows you how to navigate the vastly changed landscape of the SQL...

Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches (IEEE Press Series on Computational Intelligence)

John Wiley & Sons, 2008

This book provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rough and fuzzy sets. For readers who are less familiar with the subject, the book begins with an introduction to fuzzy set theory and fuzzy-rough set theory. Next it provides a critical review of FS methods...

Clustering for Data Mining: A Data Recovery Approach (Chapman & Hall/CRC Computer Science & Data Analysis)

CRC Press, 2005

Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical clustering--have lacked the theoretical...

Learning from Data Streams: Processing Techniques in Sensor Networks

Springer, 2007

Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment. Sensors are equipped with capacities to store information in memory, process this information and communicate with their neighbors. Processing data streams generated from wireless sensor networks has raised new research challenges over the last few...

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