Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...
The swap matching problem consists if finding a pattern in a text, while allowing for transpositions in the pattern. A new approach using a graph-theoretic model was presented in [...
Pavlos Antoniou, Costas S. Iliopoulos, Inuka Jayas...
The current research on association rule based text classification neglected several key problems. First, weights of elements in profile vectors may have much impact on generating ...
Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qia...
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...