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| 國立成功大學 |
2015-04-13 |
Mining Disease Risk Patterns from Nationwide Clinical Databases for the Assessment of Early Rheumatoid Arthritis Risk
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Chin, Chu Yu; Weng, Meng Yu; Lin, Tzu Chieh; Cheng, Shyr Yuan; Yang, Yea Huei Kao; Tseng, Vincent S. |
| 國立成功大學 |
2015-03 |
Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets
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Tseng, Vincent S.; Wu, Cheng-Wei; Fournier-Viger, Philippe; Yu, Philip S. |
| 國立成功大學 |
2015-02-18 |
Global Oct4 target gene analysis reveals novel downstream PTEN and TNC genes required for drug-resistance and metastasis in lung cancer
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Tang, Yen-An; Chen, Chi-Hsin; Sun, H. Sunny; Cheng, Chun-Pei; Tseng, Vincent S.; Hsu, Han-Shui; Su, Wu-Chou; Lai, Wu-Wei; Wang, Yi-Ching |
| 國立交通大學 |
2014-12-08T15:11:28Z |
Effective Semantic Annotation by Image-to-Concept Distribution Model
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Su, Ja-Hwung; Chou, Chien-Li; Lin, Ching-Yung; Tseng, Vincent S. |
| 國立交通大學 |
2014-12-08T15:11:12Z |
An efficient algorithm for mining temporal high utility itemsets from data streams
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Chu, Chun-Jung; Tseng, Vincent S.; Liang, Tyne |
| 國立交通大學 |
2014-12-08T15:10:43Z |
MINING TEMPORAL RARE UTILITY ITEMSETS IN LARGE DATABASES USING RELATIVE UTILITY THRESHOLDS
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Chu, Chun-Jung; Tseng, Vincent S.; Liang, Tyne |
| 國立交通大學 |
2014-12-08T15:10:15Z |
Efficient mining of temporal emerging itemsets from data streams
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Chu, Chun-Jung; Tseng, Vincent S.; Liang, Tyne |
| 國立交通大學 |
2014-12-08T15:08:43Z |
An efficient algorithm for mining high utility itemsets with negative item values in large databases
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Chu, Chun-Jung; Tseng, Vincent S.; Liang, Tyne |
| 國立成功大學 |
2014-11-01 |
Network-based analysis identifies epigenetic biomarkers of esophageal squamous cell carcinoma progression
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Cheng, Chun-Pei; Kuo, I-Ying; Alakus, Hakan; Frazer, Kelly A.; Harismendy, Olivier; Wang, Yi-Ching; Tseng, Vincent S. |
| 國立成功大學 |
2014-11 |
SPMF: A Java Open-Source Pattern Mining Library
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Fournier-Viger, Philippe; Gomariz, Antonio; Gueniche, Ted; Soltani, Azadeh; Wu, Cheng-Wei; Tseng, Vincent S. |
Showing items 71-80 of 146 (15 Page(s) Totally)
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