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3. Event Detection on Literature by Utilizing Word Embedding

Author

Chun, Jiyun, Kim, Chulyun, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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15. SQUIRE: Sequential pattern mining with quantities

Author

Kim, Chulyun, Lim, Jong-Hwa, Ng, Raymond T., and Shim, Kyuseok

Subjects
Algorithm, Electrical engineering, Data warehousing/data mining, Algorithms, Computer science, Electrical engineering, Data mining
Abstract

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.jss.2006.12.562 Byline: Chulyun Kim (a), Jong-Hwa Lim (b), Raymond T. Ng (c), Kyuseok Shim (a) Keywords: Data mining; Knowledge discovery; Sequential pattern mining Abstract: Discovering sequential patterns is an important problem for many applications. Existing algorithms find qualitative sequential patterns in the sense that only items are included in the patterns. However, for many applications, such as business and scientific applications, quantitative attributes are often recorded in the data, which are ignored by existing algorithms. Quantity information included in the mined sequential patterns can provide useful insight to the users. In this paper, we consider the problem of mining sequential patterns with quantities. We demonstrate that naive extensions to existing algorithms for sequential patterns are inefficient, as they may enumerate the search space blindly. To alleviate the situation, we propose hash filtering and quantity sampling techniques that significantly improve the performance of the naive extensions. Experimental results confirm that compared with the naive extensions, these schemes not only improve the execution time substantially but also show better scalability for sequential patterns with quantities. Author Affiliation: (a) School of Electrical Engineering and Computer Science, Seoul National University, Kwanak, P.O. Box 34, Seoul, Republic of Korea (b) Department of Computer Science, KAIST, Taejeon, Republic of Korea (c) Department of Computer Science, University of British Columbia, Vancouver, Canada Article History: Received 23 March 2006; Revised 3 December 2006; Accepted 7 December 2006 Article Note: (footnote) [star] This work was supported by the Ministry of Information and Communication, Korea, under the College Information Technology Research Center Support Program, grant number IITA-2006-C1090-0603-0031.

Published
2007

16. XWAVE

Author

Guha, Sudipto, primary, Kim, Chulyun, additional, and Shim, Kyuseok, additional

Published
2004
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18. TagSmart: analysis and visualization for yeast mutant fitness data measured by tag microarrays

Author

Xie Dan, Dorer Russell, Kim Sangkyum, Kim Chulyun, Han Jiawei, and Zhong Sheng

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background A nearly complete collection of gene-deletion mutants (96% of annotated open reading frames) of the yeast Saccharomyces cerevisiae has been systematically constructed. Tag microarrays are widely used to measure the fitness of each mutant in a mutant mixture. The tag array experiments can have a complex experimental design, such as time course measurements and drug treatment with multiple dosages. Results TagSmart is a web application for analysis and visualization of Saccharomyces cerevisiae mutant fitness data measured by tag microarrays. It implements a robust statistical approach to assess the concentration differences among S. cerevisiae mutant strains. It also provides an interactive environment for data analysis and visualization. TagSmart has the following advantages over previously described analysis procedures: 1) it is user-friendly software rather than merely a description of analytical procedure; 2) It can handle complicated experimental designs, such as multiple time points and treatment with multiple dosages; 3) it has higher sensitivity and specificity; 4) It allows users to mask out "bad" tags in the analysis. Two biological tests were performed to illustrate the performance of TagSmart. First, we generated titration mixtures of mutant strains, in which the relative concentration of each strain was controlled. We used tag microarrays to measure the numbers of tag copies in each titration mixture. The data was analyzed with TagSmart and the result showed high precision and recall. Second, TagSmart was applied to a dataset in which heterozygous deletion strain mixture pools were treated with a new drug, Cincreasin. TagSmart identified 53 mutant strains as sensitive to Cincreasin treatment. We individually tested each identified mutant, and found 52 out of the 53 predicted mutants were indeed sensitive to Cincreasin. Conclusion TagSmart is provided "as is" to analyze tag array data produced by Affymetrix and Agilent arrays. TagSmart web application is assessable by Windows, Mac, and Linux users. It also has a downloadable version for execution on PCs running Windows. TagSmart is available for academic use at: http://biocomp.bioen.uiuc.edu/tagsmart

Published
2007
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20. On the Internet of Things

Author

Kim, Won, primary, Choi, Jaehyuk, additional, Jeong, Ok Ran, additional, Han, Woo Jin, additional, Kim, Chulyun, additional, Loh, Woong Kee, additional, and Yoo, Joon, additional

Published
2015
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26. On cyberattack mechanisms

Author

Choi, Jae Hyuk, primary, Jeong, Ok Ran, additional, Han, Woo Jin, additional, Kim, Chulyun, additional, and Kim, Won, additional

Published
2013
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29. On botnets

Author

Kim, Won, primary, Jeong, Ok-Ran, additional, Kim, Chulyun, additional, and So, Jungmin, additional

Published
2010
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34. A framework for accurate geospatial modeling using image ranking and machine learning.

Author

Bajcsy, Peter, Lin, Yu-Feng, Yahja, Alex, and Kim, Chulyun

Subjects
GEOSPATIAL data, IMAGE processing, RANKING (Statistics), MACHINE learning, GROUNDWATER, MATHEMATICAL models, FEEDBACK control systems
Abstract

There is a large class of modeling problems where the complexity of the underlying phenomena is overwhelming and hence the accuracy of mathematical models is limited. Our approach to this class of problems is to design frameworks that bring together physically based and data-driven models, and incorporate the tacit knowledge of experts by providing visual exploration and feedback capabilities. This paper presents such a novel computer-assisted framework for accurate geospatial modeling applied to improve groundwater recharge and discharge (R/D) patterns. The novelty of our work is in designing a methodology for ranking and extracting relationships, as well as in developing a general framework for building accurate geospatial models. The framework combines variables derived using physically based inverse modeling with auxiliary geospatial variables directly sensed, ranks variables and extracts variable relationships using data-driven ("machine learning") techniques, and supports partially expert-driven trial-and-error experimentation and more rigorous optimization, as well as visual explorations, to derive more accurate models for R/D pattern estimation. When the framework was tested by experts, it led to a high level of consistency between the machine-learning-based knowledge and the experts' knowledge about R/D distribution. The prototype solution of the framework is available for downloading at http://isda.ncsa.uiuc.edu/Sp2Learn/. [ABSTRACT FROM AUTHOR]

Published
2011
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35. A Cloud-Based Platform for ECG Monitoring and Early Warning Using Big Data and Artificial Intelligence Technologies

Author

Zhou, Chunjie, Li, Ali, Zhang, Zhiwang, Zhang, Zhenxing, Qu, Haiping, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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36. Leveraging Statistic and Semantic Features for Similar Question Detection Using Fusion XGBoost

Author

Liao, Siyuan, Wong, Leung-Pun, Lee, Lap-Kei, Au, Oliver, Hao, Tianyong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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37. Two-Level Convolutional Neural Network for Aspect Extraction

Author

Wu, Jialin, Cai, Yi, Huang, Qingbao, Xu, Jingyun, Wong, Raymond Chi-Wing, Chen, Jian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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38. A New Context-Aware Method Based on Hybrid Ranking for Community-Oriented Lexical Simplification

Author

Song, Jiayin, Hu, Jingyue, Wong, Leung-Pun, Lee, Lap-Kei, Hao, Tianyong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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39. A Novel Shilling Attack Detection Method Based on T-Distribution over the Dynamic Time Intervals

Author

Yuan, Wanqiao, Xiao, Yingyuan, Jiao, Xu, Sun, Chenchen, Zheng, Wenguang, Wang, Hongya, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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40. Domain Ontology Construction for Intelligent Anti-Telephone-Fraud Applications

Author

Deng, Shiqi, Zhang, Zhen, Hong, Liang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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41. What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses

Author

Chen, Xieling, Zou, Di, Xie, Haoran, Cheng, Gary, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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42. Kernel Design of Intelligent Historical Database for Multi-objective Combustion Optimization

Author

Zheng, Wei, Wang, Chao, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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43. A Long Short-Term Memory Neural Network Model for Predicting Air Pollution Index Based on Popular Learning

Author

Fang, Hong, Feng, Yibo, Zhang, Lan, Su, Ming, Yang, Hairong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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44. Supervised Learning for Human Action Recognition from Multiple Kinects

Author

Wang, Hao, Dartigues-Pallez, Christel, Riveill, Michel, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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45. Long- and Short-Term Preference Model Based on Graph Embedding for Sequential Recommendation

Author

Liu, Yu, Zhu, Haiping, Chen, Yan, Tian, Feng, Ma, Dailusi, Zeng, Jiangwei, Zheng, Qinghua, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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46. Question Answering over Knowledge Base with Symmetric Complementary Attention

Author

Wu, Yingjiao, He, Xiaofeng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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47. Discovery of Chasing Patterns in Trajectory Data

Author

Wu, Huaqing, He, Weizhuo, Liu, Qizhi, Yang, Yu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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48. User Sequential Behavior Classification for Click-Through Rate Prediction

Author

Zeng, Jiangwei, Chen, Yan, Zhu, Haiping, Tian, Feng, Miao, Kaiyao, Liu, Yu, Zheng, Qinghua, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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49. Low Rank Communication for Federated Learning

Author

Zhou, Huachi, Cheng, Junhong, Wang, Xiangfeng, Jin, Bo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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50. Maintenance Method of Logistics Vehicle Based on Data Science and Quality

Author

Peng, Yu Ping, Cheng, Shih Chieh, Huang, Yu Tsung, Der Leu, Jun, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Kim, Chulyun, editor, Kim, Seon-Young, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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