BOOK-CHAPTER

Multi-granule Association Rule Mining Based on Quantitative Concept Lattice

Dexing WangQian XieDongmei HuangHongchun YuanHongyan LuJielong Xu

Year: 2012 Communications in computer and information science Pages: 268-274   Publisher: Springer Science+Business Media
Keywords:
Association rule learning Computer science Hasse diagram Formal concept analysis Knowledge extraction Granule (geology) Data mining Granular computing Lattice (music) Theoretical computer science Rough set Information retrieval Mathematics Algorithm Discrete mathematics Materials science

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Topics

Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing

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BOOK-CHAPTER

Analysis of Association Rule Mining on Quantitative Concept Lattice

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