As the Web continues to grow, it has become increasingly difficult to search for relevant
information using traditional search engines. Topic-specific search engines provide an …

New text categorization models using back-propagation neural network (BPNN) and
modified back-propagation neural network (MBPNN) are proposed. An efficient feature …

While the amount of business information increases at a phenomenal rate, decision makers
could easily feel overloaded. Simultaneously, they could also feel the lack of related …

Feature transformation in automatic text classification (ATC) can lead to better classification
performance. Furthermore dimensionality reduction is important in ATC. Hence, feature …

With the advent of Internet and advancement in computer technology, there are two notable
challenges in document retrieval: retrieving huge amount of data efficiently and identifying …

Автоматическая классификация (категоризация) текстов в предопределенные
категории получила большое внимание в последние 10—15 лет, из-за увеличения …

Dimensionality Reduction (DR) is an important step in many advanced applications such as
exploratory data analysis and manifold learning. Its main goal is to discover the mappings of …

En la actualidad los portales web se han convertido en un medio de información de un
elevado nivel de popularidad entre los usuarios que navegan por internet. Por tal motivo es …

Prospective readers can quickly determine whether a document is relevant to their
information need if the significant phrases (or keyphrases) in this document are provided …

In the last two decades, due to the widespread use of computers in general, and popularity
of e-mails, emergence of the World Wide Web in particular, the amount of documents …