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Chapter
Documents Clustering Using Tolerance Rough Set Model and Its Application to Information Retrieval
Clustering is a powerful tool for analyzing and finding useful information in text collections. However, document clustering is a difficult clustering problem because of the unstructured form and textual chara...
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Chapter and Conference Paper
A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-Based Methods
Many methods of knowledge discovery and data mining are distance-based such as nearest neighbor classification or clustering where similarity measures between objects play an essential role. While real-world d...
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Chapter and Conference Paper
Study of a Mixed Similarity Measure for Classification and Clustering
This paper presents a study on mixed similarity measures (MSM) that allows doing classification and clustering in many situations without discretization. For supervised classification we do experimental compar...
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Chapter and Conference Paper
Development of Some Methods and Tools for Discovering Conceptual Knowledge
This abstract summarizes key points of our ongoing project that aims at develo** several new methods in knowledge discovery in databases (KDD) and implementing them together with related techniques in an intera...
