The object detection is a challenging problem in computer vision with various potential real-
world applications. The objective of this study is to evaluate the deep learning based object …

Many data mining techniques have been proposed for mining useful patterns in text
documents. However, how to effectively use and update discovered patterns is still an open …

With the widespread applications of electronic learning (e-Learning) technologies to
education at all levels, increasing number of online educational resources and messages …

As a model for knowledge description and formalization, ontologies are widely used to
represent user profiles in personalized web information gathering. However, when …

Text mining is the technique that helps users find useful information from a large amount of
digital text documents on the Web or databases. Instead of the keyword-based approach …

It is a big challenge to guarantee the quality of discovered relevance features in text
documents for describing user preferences because of large scale terms and data patterns …

It is a big challenge to guarantee the quality of discovered relevance features in text
documents for describing user preferences because of the large number of terms, patterns …

We motivate and describe techniques that allow to detect an" emergent" relational schema
from RDF data. We show that on a wide variety of datasets, the found structure explains well …

The 21st century is the age of the Internet and the World Wide Web. The Web revolutionizes
the way we gather, process, and use information. At the same time, it also redefines the …

Personalized search is aimed at tailoring the search outcome to users; to this aim user
profiles play an important role: the more faithfully a user profile represents the user interests …