Webmin is a web-based graphical UNIX system administration tool written by Jamie Cameron in the Perl programming language that is designed to be lightweight, functional, and easily extensible. Webmin has been translated to over 20 languages and dialects at the time of this writing, and it has been embraced by a number of...
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...
Our aim in writing this book was to describe the latest developments in MPLS. The field is moving so fast that some new applications of MPLS have already been deployed in production networks, yet are not described anywhere in book form. In many cases, the only available resources are the IETF drafts which list the extensions...
As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms—including linked lists, stacks,...
Database Systems: A Pragmatic Approach is a classroom textbook for use by students who are learning about relational databases, and the professors who teach them. It discusses the database as an essential component of a software system, as well as a valuable, mission critical corporate resource. The book is based on lecture notes...
Ruby is an agile object-oriented language, borrowing some of the best features from LISP, Smalltalk, Perl, CLU, and other languages. Its popularity has grown tremendously in the five years since the first edition of this book.
This is the first book where mathematics and computer science are directly confronted and joined to tackle intricate problems in computer science with deep mathematical approaches. It contains a collection of refereed papers presented at the Colloquium on Mathematics and Computer Science held at the University of Versailles-St-Quentin on...
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...
Data mining can be revolutionary—but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the...
"It is very convenient to have this book at hand. It is the first book that systematically presents the results of work on practical and theoretical algorithmic problems on texts up to the most recent developments in stringology."--Mathematical Reviews
"Given the practical importance of this fast-moving subject, serious...
Books on bioinformatics which began appearing in the mid 80s primarily served gene-hunters, and biologists who wished to construct family trees showing tidy lines of descent. Given the great pharmaceutical industry interest in genes, this trend has continued in most subsequent texts. These deal extensively with the exciting topic of gene...
