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Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information Table.

, , , , , and . KES (1), volume 4251 of Lecture Notes in Computer Science, page 714-719. Springer, (2006)

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Co-evolution of symptom-herb relationship., , , , , and . IEEE Congress on Evolutionary Computation, page 1-6. IEEE, (2012)Network Analysis for Core Herbal Combination Knowledge Discovery from Clinical Chinese Medical Formulae., , , , and . DBTA, page 188-191. IEEE Computer Society, (2009)Integrating herb effect similarity for network-based herb target prediction., , , , , , , , , and . BMEI, page 483-488. IEEE, (2015)Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information Table., , , , , and . KES (1), volume 4251 of Lecture Notes in Computer Science, page 714-719. Springer, (2006)Using Rough Set to Reduce SVM Classifier Complexity and Its Use in SARS Data Set., , , , , and . KES (3), volume 3683 of Lecture Notes in Computer Science, page 575-580. Springer, (2005)Aid decision of Chinese traditional patent medicine based on manifold ranking., , , , and . BIBM, page 330-331. IEEE Computer Society, (2013)Using Rough Set to Induce All Kinds of Positive Region Knowledge and It's use in SARS Data Set., , , , , and . ICDM (Posters), page 244-252. (2006)Methods and technologies of traditional Chinese medicine clinical information datamation in real world., , , , , , , and . CIBD, page 91-95. IEEE, (2014)Integrative mining of traditional Chinese medicine literature and MEDLINE for functional gene networks., , , and . Artificial Intelligence in Medicine, 41 (2): 87-104 (2007)Ontology matching based traditional Chinese medicine clinical information sharing system., , , , and . BIBM, page 177-179. IEEE Computer Society, (2013)