Performance of any search engine relies heavily on its Web crawler. Web crawlers are the
programs that get webpages from the Web by following hyperlinks. These webpages are …

In this paper, we propose a learning approach to adaptive performance tuning of database
applications. The objective is to validate the opportunity to devise a tuning strategy that does …

Focused crawling aims at collecting as many Web pages relevant to a target topic as
possible while avoiding irrelevant pages, reflecting limited resources available to a Web …

Active search on graphs focuses on collecting certain labeled nodes (targets) given global
knowledge of the network topology and its edge weights (encoding pairwise similarities) …

A focused crawler aims at discovering as many web pages relevant to a target topic as
possible, while avoiding irrelevant ones. Reinforcement Learning (RL) has been utilized to …

Reinforcement learning is learning from interaction with an environment to achieve a goal. It
is an efficient framework to solve sequential decision-making problems, using Markov …

Twitter is a social network that provides a powerful source of data. The analysis of those data
offers many challenges among those stands out the opportunity to find reputation of a …

Twitter is a social network that offers a rich and interesting source of information challenging
to retrieve and analyze. Twitter data can be accessed using a REST API. The available …

The World Wide Web is the largest information repository available today. However, this
information is very volatile and Web archiving is essential to preserve it for the future …

Twitter is a social network that provides a powerful source of data. The analysis of those data
offers many challenges among those stands out the opportunity to find the reputation of a …