The purpose of this study was to investigate how elementary school teachers with limited
computer science experience in a high-need school integrated computational thinking into …

The Web is overcrowded with news articles, an overwhelming information source both with
its amount and diversity. Document clustering is a powerful technique that has been widely …

Although commonly only item clustering is suggested by Web mining techniques for news
articles recommendation systems, one of the various tasks of personalized recommendation …

Recently, gait recognition for individual identification has received much increased attention
from biometrics researchers as gait can be captured at a distance by using low-resolution …

The Web is overcrowded with news articles, an overwhelming information source both with
its amount and diversity. Assigning news articles to similar groups, on the other hand …

In an era that, searching the WWW for information becomes a tedious task, it is obvious that
mainly search engines and other data mining mechanisms need to be enhanced with …

Document clustering is a powerful technique that has been widely used for organizing data
into smaller and manageable information kernels. Several approaches have been proposed …

Collaborative filtering systems typically need to acquire some data about the new user in
order to start making personalized suggestions, a situation commonly referred to as the “new …

Text summarization and categorization, as well as personalization of the results, have
always been some of the most demanding information retrieval tasks. Deploying a …

The expansion of the World Wide Web has led to a state where a vast amount of Internet
users face and have to overcome the major problem of discovering desired information. It is …