The online encyclopedia Wikipedia is a vast, constantly evolving tapestry of interlinked
articles. For developers and researchers it represents a giant multilingual database of …

A traditional classification approach based on keyword matching represents each text
document as a set of keywords, without considering the semantic information, thereby …

With the increasing number of real-world events that are originated and discussed over
social networks, event detection is becoming a compelling research issue. However, the …

Most of the classic theoretical systems and tools in statistics, data mining and machine
learning are built on the fundamental assumption of IIDness, which assumes the …

Semantic association computation is the process of quantifying the strength of a semantic
connection between two textual units, based on different types of semantic relations …

Search results clustering (SRC) is a challenging algorithmic problem that requires grouping
together the results returned by one or more search engines in topically coherent clusters …

The discipline of enterprise architecture advocates the use of models to support decision-
making on enterprise-wide information system issues. In order to provide such support …

Document clustering involves grouping together documents so that similar documents are
grouped together in the same cluster and different documents in the different clusters …

Traditional document clustering approaches are usually based on the Bag of Words model,
which is limited by its assumption of the independence among terms. Recent strategies have …

Humanity development through education is an important method of sustainable
development. This guarantees community development at present time without any negative …