Learn IT - Books tags clustering

MCSE Training Kit: Microsoft Windows 2000 Advanced Server Clustering Services

Microsoft Press, 2001

Welcome to the MCSE Training Kit: Microsoft Windows 2000 Advanced Server Clustering Services. This Microsoft Press self-paced training kit is designed to provide you with comprehensive information about using Microsoft clustering technologies on Windows 2000 Advanced Server. This training kit also maps to the objectives presented by...

SQL Server 2000 for Experienced DBAs

McGraw-Hill, 2003

Configure and manage SQL Server 2000 for peak performance and high availability using the undocumented administrative and troubleshooting techniques offered inside this focused reference. SQL Server expert Brian Knight gives you details on system and platform architecture, settings, security, file management, replication, automation,...

Data Mining Applications for Empowering Knowledge Societies

IGI Global, 2008

Data Mining techniques are gradually becoming essential components of corporate intelligence systems and progressively evolving into a pervasive technology within activities that range from the utilization of historical data to predicting the success of an awareness campaign. In reality, data mining is becoming an interdisciplinary field driven by...

Infectious Disease Informatics

Springer, 2009

Infectious Diseases Informatics

Edited by

Vitali Sintchenko

The University of Sydney, Sydney, Australia

Preface.- List of contributors.- 1Informatics for Infectious Disease Research and Control.- 2 Bioinformatics of Microbial Sequences.- 3 Mining Databases for Microbial Gene Sequences.- 4 Comparative Genomics of...

Data Clustering in C++: An Object-Oriented Approach (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

CRC Press, 2011

Data clustering is a highly interdisciplinary field whose goal is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of papers and a number of books on data clustering have been published over the past 50 years....

Virtualization: From the Desktop to the Enterprise (Books for Professionals by Professionals)

Apress, 2005

Creating a virtual network allows you to maximize the use of your servers. Virtualization: From the Desktop to the Enterprise is the first book of its kind to demonstrate how to manage all aspects of virtualization across an enterprise. (Other books focus only on singular aspects of virtualization, without delving into the...

Distributed Services with OpenAFS: for Enterprise and Education

Springer, 2007

This book shows in detail how to build enterprise-level secure,redundant, and highly scalable services from scratch on top of theopen source Linux operating system, suitable for small companies aswell as big universities. The core architecture presented is based onKerberos, LDAP, AFS, and Samba. It is shown how to integrate web,message related,...

Data Mining and Statistics for Decision Making

John Wiley & Sons, 2011

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...

Advances in K-means Clustering: A Data Mining Thinking (Springer Theses: Recognizing Outstanding Ph.D. Research)

Springer, 2012

The series ‘‘Springer Theses’’ brings together a selection of the very best Ph.D. theses from around the world and across the physical sciences. Nominated and endorsed by two recognized specialists, each published volume has been selected for its scientific excellence and the high impact of its contents for...

Recent Trends in Signal and Image Processing: Proceedings of ISSIP 2018 (Advances in Intelligent Systems and Computing (922))

Springer, 2019

This book presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition,...

Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2010

Springer, 2010

This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains the papers presented at the S+SSPR 2010 Workshops, which was the seventh occasion that SPR and SSPR workshops have been held jointly. S+SSPR 2010 was organized by TC1 and TC2, Technical Committees of the International Association for Pattern...

Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence)

Springer, 2005

Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge...

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