JOURNAL ARTICLE

Two novel interestingness measures for gene association rule mining

Meihua WangShumin WuRuichu Cai

Year: 2012 Journal:   Neural Computing and Applications Vol: 23 (3-4)Pages: 835-841   Publisher: Springer Science+Business Media
Keywords:
Interpretability Association rule learning Computer science Data mining Measure (data warehouse) KEGG Computational biology Curse of dimensionality Gene Artificial intelligence Machine learning Biology Gene expression Gene ontology Genetics

Metrics

3
Cited By
0.14
FWCI (Field Weighted Citation Impact)
19
Refs
0.50
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Gene expression and cancer classification
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Cancer-related molecular mechanisms research
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Cancer Research

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