论文信息 - Data Mining of Time-Series Medical Data by Formal Concept Analysis

Data Mining of Time-Series Medical Data by Formal Concept Analysis

This paper presents a method for clustering time-series medical data based on Formal Concept Analysis. We made a prototype system, and verified it by applying it to several medical cases. Our clusters can be explicitly provided with more convincing meanings, with the help of FCA. We plan to continue, and to verify the practicality of this method by applying it to hundreds of medical cases.

[1] Etsuji Tomita,et al. An Efficient Branch-and-Bound Algorithm for Finding a Maximum Clique , 2003, DMTCS.

[2] Cristian S. Calude,et al. Discrete Mathematics and Theoretical Computer Science , 2003, Lecture Notes in Computer Science.

[3] Bernhard Ganter,et al. Formal Concept Analysis: Mathematical Foundations , 1998 .

[4] Makoto Haraguchi,et al. An Extended Branch and Bound Search Algorithm for Finding Top- N Formal Concepts of Documents , 2006, JSAI.