Data clustering is an important and frequently used unsupervised learning method. Recent
research has demonstrated that incorporating instance-level background information to …

The vast subjective texts spreading all over the Internet promoted the demand for text
sentiment classification technology. A well-known fact that often weakens the performance of …

Spatial data clustering has long been used to facilitate the knowledge discovery process.
Several approaches have been proposed in the literature for detecting and understanding …

Detection of outlier from high dimensional dataset have found important applications in
many fields, yet the unexpected time consumption is likely to hinder its practical use. Thus, it …

Novelty detection aims at identifying novel information from an incoming stream of
documents. In this paper, we propose a new framework for document-level novelty detection …

Assessing bidder's tender is very important for an employer in deciding whether to award or
not. Marking scheme method is generally used to evaluate the tenders of construction …

An appropriate promotion, distribution and dissemination of scientific, artistic and technology
developments can foster the collaboration between a country's productive and academic …

Attempts to mine text documents to discover deviations or anomalies have increased in
recent years due to the elevated amount of textual data in today's data repositories. Text …

Technology Watch human agents have to read many documents in order to manually
categorize and dispatch them to the correct expert, that will later add valued information to …

Recently, due to the widespread on-line availability of syntactically annotated text corpora,
some automated tools for searching in such text corpora have gained great attention …