Many text mining applications, especially when investigating Text Classification (TC), require experiments to be performed using common textcollections, such that results can be co...
Yanbo J. Wang, Robert Sanderson, Frans Coenen, Pau...
Background: Identifying relevant research in an ever-growing body of published literature is becoming increasingly difficult. Establishing domain-specific knowledge bases may be a...
This report offers an interrogative-based approach to differentiating and quantifying information and knowledge within text. We examine the work of Popper, Shannon, Weaver, Brooke...
The mining of frequent sequential patterns has been a hot and well studied area—under the broad umbrella of research known as KDD (Knowledge Discovery and Data Mining)— for we...
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...