Saori Kawasaki Research Associate Professor
Center for Advanced Education for Working Professionals

Results 1-19 of about 19

• 1.　Discovering Relationship between Hepatitis C Virus NS5A Protein and Interferon/Ribavirin Therapy，Kawasaki, S., Ho, TB., Kanda, T., Yokosuka, O., Takabayashi, K., Le, N.，KICSS 2010，in press，2010
• 2.　Towards service-oriented knowledge discovery in biomedicine research，Ho, T.B., Takabayashi, K., Pham, T.H. , Nguyen, T.P., Kawasaki, S., Tran, D.H，International Workshop on Third Generation Data Mining, ECML/PKDD 2009，100-113，2009/09
• 3.　Simple but effective methods of combining kernels for the prediction problem in biology，Tanabe, H., Ho, T.B., Nguyen, C.H., Kawasaki, S.，IEEE RIVF International Conference on Computing and Communication Technologies, RIVF08，71-78，2008/07
• 4.　Knowledge Acquisition by Machine Learning and Data Mining,，Ho, T.B., Kawasaki, S., Granat, J.，Chapter 4, Creative Environments, Springer-Verlag，in press
• 5.　Integration of learning methods, medical literature and expert inspection in medical data mining，Ho, T.B., Kawasaki, S., Takabayashi, K., Nguyen, C.H.，IEICE Trans. Information and Systems，in press
• 6.　Temporal Abstraction and Data Mining with Visualization of Laboratory Data，Takabayashi, T., Ho, T.B., Yokoi, H., Nguyen, T.D., Kawasaki, S., Le, S.Q., Suzuki, T., Yokosuka, O.，in the proceedings of Medinfo 2007 Congress, 20-24 August, Brisbane，1574-1581，2007
• 7.　Wrapper feature extraction for time series classification using singular value decomposition，Zhang, H., Ho, T.B., Kawasaki, S.，International Journal of Knowledge and Systems Science，3，1，53-60
• 8.　An Integrated Approach in Medical Data Mining，Kawasaki, S., Ho, T.B.，In the Proceedings of the First International Conference on Knowledge, Information and Creativity Support Systems KICSS'06, 1-4 August, Ayutthaya，24-31
• 9.　Knowledge Visualization in Hepatitis Study，Nguyen, D.D., Ho, T.B., Kawasaki, S.，In the Proceedings of Asia Pacific Symposium on Information Visualization APVIS 2006, February 1-3, Tokyo, Australian Computer Society，59-62
• 10.　emporal Relations Extraction in Mining Hepatitis Data，Ho, T.B., Nguyen, C.H., Kawasaki, S., Le, S.Q., Takabayashi, K，Journal of New Generation Computing，25，3，in press
• 11.　Wrapper feature extraction for time series classification using singular value decomposition，Zhang, H., Ho, T.B., Kawasaki, S.，In the Proceedings of the First World Congress of the International Federation for Systems Research (IFSR'05), Symposium on Data/Text Mining from Large Databases, Kobe, 15-17 November，S5-4-4
• 12.　Combining Temporal Abstraction and Data Mining to Study Hepatitis，Ho, T.B., Kawasaki, S., Le, S.Q., Tran, T.N., Takabayashi, K., Yokoi, H，ECML/PKDD 2004 Workshop on Discovery Challenge, Pisa 20-24 September，155-167
• 13.　Failures and Successes in Medical Data Mining，Ho, T.B., Nguyen, T.D., Kawasaki, S.，Chapter 6, Knowledge-Based Intelligent Systems for Health Care, T. Ichimura and Yoshida, K. (Eds.), Advanced Knowledge International Publishers，167-212
• 14.　Temporal Logic in Mining Hepatitis Data，Ho, T.B., Le, S.Q., Nguyen, C.H., Kawasaki, S., Yokoi, H., Takabayashi, K.，in the Proceedings f the Japan-Vietnam Joint Workshop on Active Mining, Hanoi, 4-7 December，55-60
• 15.　Combining Temporal Abstraction and Data Mining Methods in Medical Data Mining，Ho, T.B., Nguyen, T.D., Kawasaki, S., Le, S.Q.，Chapter 7, Intelligent Knowledge-Based Systems, Vol. 3, T. Leondes (Ed.), Kluwer Academic Press，198-222
• 16.　Data Mining of Viral Hepatitis with Temporal Abstraction，Takabayashi, K., Yokoi, H., Ho, T.B., Nguyen, T.D., Kawasaki, S., Le, S.Q., Yokosuka, O., Imazeki, O., Satomura, Y.，In the proceedings of MedInfo 2004, 7-11 September, San Fransisco
• 17.　Abstraction of Long-Term Changed Attributes in the Hepatitis Domain，Kawasaki, S., Nguyen, T.D., Ho, T.B.，7th Inter. Conference on Knowledge-based Intelligent Information and Intelligent Informatics KES-03, Oxford
• 18.　Temporal Abstraction for Long-Term Changed Tests in the Hepatitis Domain，Kawasaki, S., Nguyen, T.D., Ho, T.B.，Journal of Advanced Computational Intelligence & Intelligent Informatics (to appear)，17，3
• 19.　Hierarchical Document Clustering Based on Tolerance Rough Set Model，Kawasaki, S., Nguyen, N.B., Ho, T.B.,，4th European Conference on Principles of Data Mining and Knowledge Discovery PKDD 2000, Lyon, 13-16 September, Lecture Notes in Artificial Intelligence 1910, Springer, 458-463 (2000)