Evaluation of rule interestingness measures in medical knowledge discovery in databases M Ohsaki, H Abe, S Tsumoto, H Yokoi, T Yamaguchi Artificial Intelligence in Medicine 41 (3), 177-196, 2007 | 86 | 2007 |
Knowledge discovery support from a meningoencephalitis dataset using an automatic composition tool for inductive applications H Hatazawa, H Abe, M Komori, Y Tachibana, T Yamaguchi New Frontiers in Artificial Intelligence: Joint JSAI 2001 Workshop Post …, 2001 | 34 | 2001 |
Developing an integrated time-series data mining environment for medical data mining H Abe, H Yokoi, M Ohsaki, T Yamaguchi Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007 | 33 | 2007 |
Constructive meta-learning with machine learning method repositories H Abe, T Yamaguchi International Conference on Industrial, Engineering and Other Applications …, 2004 | 29 | 2004 |
Implementing an integrated time-series data mining environment-a case study of medical kdd on chronic hepatitis H Abe, T Yamaguchi 1st international conference on complex medical engineering (CME2005), 2005 | 28 | 2005 |
Implementing an integrated time-series data mining environment based on temporal pattern extraction methods: a case study of an interferon therapy risk mining for chronic hepatitis H Abe, M Ohsaki, H Yokoi, T Yamaguchi New Frontiers in Artificial Intelligence: Joint JSAI 2005 Workshop Post …, 2006 | 25 | 2006 |
Trend detection from large text data H Abe, S Tsumoto 2010 IEEE International Conference on Systems, Man and Cybernetics, 310-315, 2010 | 20 | 2010 |
Numerical time-series pattern extraction based on irregular piecewise aggregate approximation and gradient specification M Ohsaki, H Abe, T Yamaguchi New Generation Computing 25, 213-222, 2007 | 16 | 2007 |
A rule evaluation support method with learning models based on objective rule evaluation indexes H Abe, S Tsumoto, M Ohsaki, T Yamaguchi Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005 | 15 | 2005 |
Text categorization with considering temporal patterns of term usages H Abe, S Tsumoto 2010 IEEE International Conference on Data Mining Workshops, 800-807, 2010 | 14 | 2010 |
Analyzing behavior of objective rule evaluation indices based on a correlation coefficient H Abe, S Tsumoto International Conference on Knowledge-Based and Intelligent Information and …, 2008 | 14 | 2008 |
Detecting temporal trends of technical phrases by using importance indices and linear regression H Abe, S Tsumoto Foundations of Intelligent Systems: 18th International Symposium, ISMIS 2009 …, 2009 | 13 | 2009 |
Analyzing behavior of objective rule evaluation indices based on pearson product-moment correlation coefficient H Abe, S Tsumoto International Symposium on Methodologies for Intelligent Systems, 84-89, 2008 | 13 | 2008 |
Evaluating a temporal pattern detection method for finding research keys in bibliographical data H Abe, S Tsumoto Transactions on rough sets XIV, 1-17, 2011 | 9 | 2011 |
Evaluation Temporal Models Based on Association Mining From Medical Documents H Abe, S Hirano, S Tsumoto Japan Association for Medical Informatics 27 (1), 33-38, 2007 | 7 | 2007 |
Mining a clinical course knowledge from summary text H Abe, S Hirano, S Tsumoto The 19th Annual Conference of the Japanese Society for Artificial …, 2005 | 7 | 2005 |
Comparing similarity of concepts identified by temporal patterns of terms in biomedical research documents S Tsumoto, H Abe 2012 IEEE 11th International Conference on Cognitive Informatics and …, 2012 | 6 | 2012 |
Analysis of research keys as Tempral patterns of technical term usages in bibliographical data H Abe, S Tsumoto Active Media Technology: 6th International Conference, AMT 2010, Toronto …, 2010 | 6 | 2010 |
Evaluating learning algorithms composed by a constructive meta-learning scheme for a rule evaluation support method H Abe, S Tsumoto, M Ohsaki, T Yamaguchi Mining Complex Data, 95-111, 2009 | 6 | 2009 |
Constructive meta-level feature selection method based on method repositories H Abe, T Yamaguchi Pacific-Asia Conference on Knowledge Discovery and Data Mining, 70-80, 2006 | 6 | 2006 |