In recent years, the use of Artificial Intelligence (AI) techniques has been greatly increased. The term “intelligence” seems to be a “must” in a large number of European and International project calls. AI Techniques have been used in almost any domain. Application-oriented systems usually incorporate some kind of “intelligence” by using techniques stemming from intelligent search, knowledge representation, machine learning, knowledge discovery, intelligent agents, computational intelligence etc.

The Workshop on “Applications with Artificial Intelligence” seeks for quality papers on computer applications that incorporate some kind of AI technique. The objective of the workshop was to bring together scientists, engineers and practitioners, who work on designing or developing applications that use intelligent techniques or work on intelligent techniques and apply them to application domains (like medicine, biology, education etc), to present and discuss their research works and exchange ideas in this book.

Download: Rapidshare (7061 KB)

Absensi: AbsensiWajah.com

Blog$preneur.com: Be Entrepreneur with Your Blog$
Pelatihan Bisnis Online Paid Review

Praise for the First Edition:
“An excellent starting point for information professionals to gain a basic understanding of fundamental concepts, then move ahead with a guided path for further research and study.” –Art Documentation
Metadata, literally “data about data,” provides a means of indexing, accessing, preserving, and discovering digital resources. The volume of digital information available over electronic networks has created a pressing need for standards that assist in locating, retrieving, and managing this vast and complex universe of information.

This revised edition of Introduction to Metadata, first published in 1998 and updated in an online version in 2000, provides an overview of metadata–its types, roles, and characteristics; a discussion of metadata as it relates to resources on the Web; a description of methods, tools, standards, and protocols that can be used to publish and disseminate digital collections; and a handy glossary. Newly added to this edition are an essay on the importance of standards-based rights metadata to the activities of cultural institutions; and a section entitled “Practical Principles for Metadata Creation and Maintenance.”

The Introduction To series deals with complex issues and tools related to the production, management, and dissemination of cultural heritage information resources.

Download: Rapidshare

Absensi: AbsensiWajah.com

Blog$preneur.com: Be Entrepreneur with Your Blog$
Pelatihan Bisnis Online Paid Review

R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields including Medicine, Genetics, Biology, Environmental Sciences, Geology, Social Sciences and much more. The software is maintained and developed by academicians and professionals and as such, is continuously evolving and up to date. Statistics and Data with R presents an accessible guide to data manipulations, statistical analysis and graphics using R.

Assuming no previous knowledge of statistics or R, the book includes:

* A comprehensive introduction to the R language.
* An integrated approach to importing and preparing data for analysis, exploring and analyzing the data, and presenting results.
* Over 300 examples, including detailed explanations of the R scripts used throughout.
* Over 100 moderately large data sets from disciplines ranging from Biology, Ecology and Environmental Science to Medicine, Law, Military and Social Sciences.
* A parallel discussion of analyses with the normal density, proportions (binomial), counts (Poisson) and bootstrap methods.
* Two extensive indexes that include references to every R function (and its arguments and packages used in the book) and to every introduced concept.

An accompanying Wiki website, http://turtle.gis.umn.edu includes all the scripts and data used in the book. The website also features a solutions manual, providing answers to all of the exercises presented in the book. Visitors are invited to download/upload data and scripts and share comments, suggestions and questions with other visitors. Students, researchers and practitioners will find this to be both a valuable learning resource in statistics and R and an excellent reference book.

Download: Rapidshare (11478 KB)

Absensi: AbsensiWajah.com

Blog$preneur.com: Be Entrepreneur with Your Blog$
Pelatihan Bisnis Online Paid Review

Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets.

This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book.

Download: Rapidshare (22677 KB)

Absensi: AbsensiWajah.com

Blog$preneur.com: Be Entrepreneur with Your Blog$
Pelatihan Bisnis Online Paid Review

Scheduling in Distributed Computing Systems: Analysis, Design and Models intends to inculcate the innovative ideas for the scheduling aspect. Although the models in this book are designed for distributed systems, the same information is applicable for any type of system (i.e., where distributed processing is required).

Scheduling in Distributed Computing Systems: Analysis, Design and Models will dramatically improve the design and management of the processes for industry professionals. This book deals exclusively with the scheduling aspect, which finds little space in other distributed operating system books.

Scheduling in Distributed Computing Systems: Analysis, Design and Models is structured for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference for graduate-level students in management sciences, and computer science for distributed computing system classes.

Download: Rapidshare

Absensi: AbsensiWajah.com

Blog$preneur.com: Be Entrepreneur with Your Blog$
Pelatihan Bisnis Online Paid Review