Previous methods for system intrusion detection have mainly consisted of those based on
pattern matching that employs prior knowledge extracted from experts' domain knowledge …

The personalized learning path is one of the most promising personalization solutions for e-
learning. Previous work usually focuses on the learner preference which is not the most …

Continuous pressure on behalf of enterprises leads to a constant need for innovation. This
involves exchanging results of knowledge and innovation among research groups and …

With the rapid growth of spatial data, traditional cause-effect analysis and conditional
retrieval fall short in the era of big data. Associative retrieval is more reasonable and …

Purely keyword-based text search is not satisfactory because named entities and WordNet
words are also important elements to define the content of a document or a query in which …

In this paper we propose two methods to derive different kinds of node neighborhood based
similarities in a network. The first similarity measure focuses on the overlap of direct and …

Syntactic search relies on keywords contained in a query to find suitable documents. So,
documents that do not contain the keywords but contain information related to the query are …

In the last decades, mobile phones have become the major medium for communication
between humans. The site effect is the loss of subscribers. Consequently, Telecoms …

Spreading activation search is an approach to determine similarity of graph vertices based
on energy distribution. Computation of such energy distribution is defined by a simple, but …

This paper introduces category and link expansion strategies for the XML Entity Ranking
track at INEX 2007. Category expansion is a coefficient propagation method for the …