Classification of Web page content is essential to many tasks in Web information retrieval
such as maintaining Web directories and focused crawling. The uncontrolled nature of Web …

Data that appear to have different characteristics than the rest of the population are called
outliers. Identifying outliers from huge data repositories is a very complex task called outlier …

Many real-world text classification tasks involve imbalanced training examples. The
strategies proposed to address the imbalanced classification (eg, resampling, instance …

We demonstrate the usefulness of the uniform resource locator (URL) alone in performing
web page classification. This approach is faster than typical web page classification, as the …

Highly viable seeds are of great significance for agricultural development, and the traditional
corn seed vigor detection method is time-consuming and laborious. In this paper, the …

For better service and energy savings, improved fault detection and diagnosis (FDD) of
building energy systems is of great importance. To achieve this aim, ensemble learning is …

The freedom of the Deep Web offers a safe place where people can express themselves
anonymously but they also can conduct illegal activities. In this paper, we present and make …

Web page classification is an important research direction on web mining. The abundant
amount of data available on the web makes it essential to develop efficient and robust …

The growing amounts of online multimedia content challenge the current search,
recommendation and information retrieval systems. Information in the form of visual …

This paper studies how link information can be used to improve classification results for Web
collections. We evaluate four different measures of subject similarity, derived from the Web …