![]() ![]() ![]() | ![]() |
|
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Note: Links lead to the DBLP on the Web. Jinyan Li Guozhu Dong , Chunyu Jiang , Jian Pei , Jinyan Li, Limsoon Wong : Mining Succinct Systems of Minimal Generators of Formal Concepts. DASFAA 2005 : 175-187 Haiquan Li , Jinyan Li, Limsoon Wong , Mengling Feng , Yap-Peng Tan : Relative Risk and Odds Ratio: A Data Mining Perspective. PODS 2005 Haiquan Li , Jinyan Li: Discovery of stable and significant binding motif pairs from PDB complexes and protein interaction datasets. Bioinformatics 21 (3): 314-324 (2005) Huiqing Liu , Hao Han , Jinyan Li, Limsoon Wong : DNAFSMiner: a web-based software toolbox to recognize two types of functional sites in DNA sequences. Bioinformatics 21 (5): 671-673 (2005) Jinyan Li, Huiqing Liu , Limsoon Wong : Use of Built-in Features in the Interpretation of High-dimensional Cancer Diagnosis Data.. APBC 2004 : 67-74 Huiqing Liu , Jinyan Li, Limsoon Wong : Selection of Patient Samples and Genes for Outcome Prediction. CSB 2004 : 382-392 Jinyan Li, Kotagiri Ramamohanarao : A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer. PAKDD 2004 : 682-691 Haiquan Li , Jinyan Li, Soon-Heng Tan , See-Kiong Ng : Discovery of Binding Motif Pairs from Protein Complex Structural Data and Protein Interaction Sequence Data. Pacific Symposium on Biocomputing 2004 : 312-32 Shao-Wu Meng , Zhuo Zhang , Jinyan Li: Twelve C2H2 zinc-finger genes on human chromosome 19 can be each translated into the same type of protein after frameshifts. Bioinformatics 20 (1): 1-4 (2004) Jinyan Li, Thomas Manoukian , Guozhu Dong , Kotagiri Ramamohanarao : Incremental Maintenance on the Border of the Space of Emerging Patterns. Data Min. Knowl. Discov. 9 (1): 89-116 (2004) Huiqing Liu , Hao Han , Jinyan Li, Limsoon Wong : Using amino acid patterns to accurately predict translation initiation sites. In Silico Biology 4 : (2004) Jinyan Li, Hwee-Leng Ong : Feature Space Transformation for Better Understanding Biological and Medical Classifications. Journal of Research and Practice in Information Technology 36 (3): 131-144 (2004) Jinyan Li, Guozhu Dong , Kotagiri Ramamohanarao , Limsoon Wong : DeEPs: A New Instance-Based Lazy Discovery and Classification System. Machine Learning 54 (2): 99-124 (2004) Jinyan Li, Hwee-Leng Ong : Feature Space Transformation and Decision Results Interpretation. APBC 2003 : 129-137 Vladimir B. Bajic , Vladimir Brusic , Jinyan Li, See-Kiong Ng , Limsoon Wong : From Informatics to Bioinformatics. APBC 2003 : 3-12 Jinyan Li, Huiqing Liu , Limsoon Wong : Mean-entropy discretized features are effective for classifying high-dimensional biomedical data. BIOKDD 2003 : 17-24 Jinyan Li, Huiqing Liu , See-Kiong Ng , Limsoon Wong : Discovery of significant rules for classifying cancer diagnosis data. ECCB 2003 : 93-102 Jinyan Li, Huiqing Liu : Ensembles of Cascading Trees. ICDM 2003 : 585-588 Jinyan Li, See-Kiong Ng , Limsoon Wong : Bioinformatics Adventures in Database Research. ICDT 2003 : 31-46 Jinyan Li, Limsoon Wong : Using Rules to Analyse Bio-medical Data: A Comparison between C4.5 and PCL. WAIM 2003 : 254-265 Jinyan Li, Huiqing Liu , James R. Downing , Allen Eng-Juh Yeoh , Limsoon Wong : Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients. Bioinformatics 19 (1): 71-78 (2003) Jinyan Li, Limsoon Wong : Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns. ICDM 2002 : 653-656 Jinyan Li, Limsoon Wong : Geography of Differences between Two Classes of Data. PKDD 2002 : 325-337 Jinyan Li, Limsoon Wong : Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns . Bioinformatics 18 (10): 1406-1407 (2002) Jinyan Li, Limsoon Wong : Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns. Bioinformatics 18 (5): 725-734 (2002) Jinyan Li, Kotagiri Ramamohanarao , Guozhu Dong : Combining the Strength of Pattern Frequency and Distance for Classification. PAKDD 2001 : 455-466 Jinyan Li, Guozhu Dong , Kotagiri Ramamohanarao : Making Use of the Most Expressive Jumping Emerging Patterns for Classification. Knowl. Inf. Syst. 3 (2): 131-145 (2001) Jinyan Li, Kotagiri Ramamohanarao , Guozhu Dong : Emerging Patterns and Classification. ASIAN 2000 : 15-32 Jinyan Li, Kotagiri Ramamohanarao , Guozhu Dong : The Space of Jumping Emerging Patterns and Its Incremental Maintenance Algorithms. ICML 2000 : 551-558 Jinyan Li, Guozhu Dong , Kotagiri Ramamohanarao : Making Use of the Most Expressive Jumping Emerging Patterns for Classification. PAKDD 2000 : 220-232 Jinyan Li, Guozhu Dong , Kotagiri Ramamohanarao : Instance-Based Classification by Emerging Patterns. PKDD 2000 : 191-200 Guozhu Dong , Xiuzhen Zhang , Limsoon Wong , Jinyan Li: CAEP: Classification by Aggregating Emerging Patterns. Discovery Science 1999 : 30-42 Guozhu Dong , Jinyan Li: Efficient Mining of Emerging Patterns: Discovering Trends and Differences. KDD 1999 : 43-52 Jinyan Li, Xiuzhen Zhang , Guozhu Dong , Kotagiri Ramamohanarao , Qun Sun : Efficient Mining of High Confidience Association Rules without Support Thresholds. PKDD 1999 : 406-411 Guozhu Dong , Jinyan Li: Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness. PAKDD 1998 : 72-86 1 [ 21 ] 2 [ 21 ] 3 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 23 ] [ 26 ] [ 35 ] 4 [ 15 ] 5 [ 34 ] 6 [ 25 ] [ 32 ] 7 [ 35 ] 8 [ 28 ] [ 33 ] [ 34 ] 9 [ 15 ] [ 18 ] [ 19 ] [ 20 ] [ 25 ] [ 30 ] [ 31 ] [ 32 ] 10 [ 26 ] 11 [ 27 ] 12 [ 17 ] [ 19 ] [ 21 ] [ 28 ] 13 [ 22 ] [ 24 ] 14 [ 35 ] 15 [ 2 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 23 ] [ 26 ] [ 29 ] 16 [ 2 ] 17 [ 28 ] 18 [ 34 ] 19 [ 4 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] [ 15 ] [ 16 ] [ 17 ] [ 19 ] [ 20 ] [ 21 ] [ 23 ] [ 25 ] [ 30 ] [ 31 ] [ 32 ] [ 34 ] [ 35 ] 20 [ 15 ] 21 [ 2 ] [ 4 ] 22 [ 27 ] ![]() ©2005 Association for Computing Machinery |