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ORCID22. DASFAA Workshops 2017: Suzhou, China
- Zhifeng Bao, Goce Trajcevski, Lijun Chang, Wen Hua:
Database Systems for Advanced Applications - DASFAA 2017 International Workshops: BDMS, BDQM, SeCoP, and DMMOOC, Suzhou, China, March 27-30, 2017, Proceedings. Lecture Notes in Computer Science 10179, Springer 2017, ISBN 978-3-319-55704-5
BDMS
- Miaomiao Lei, Jidong Ge, Zhongjin Li, Chuanyi Li, Yemao Zhou, Xiaoyu Zhou, Bin Luo:
Automatically Classify Chinese Judgment Documents Utilizing Machine Learning Algorithms. 3-17 - Atsushi Sudoh, Tatsuo Tsuji, Ken Higuchi:
A Partitioning Scheme for Big Dynamic Trees. 18-34 - Chao Yang, Qian Wang, Qing Yang, Huibing Zhang, Jingwei Zhang, Ya Zhou:
Optimization Factor Analysis of Large-Scale Join Queries on Different Platforms. 35-46 - Detian Zhang, Jia-ao Wang, Fei Chen:
Which Mapping Service Should We Select in China? 47-59 - Jianlong Xu, Changsheng Zhu, Qi Xie:
An Online Prediction Framework for Dynamic Service-Generated QoS Big Data. 60-74 - Xuguang Bao, Lizhen Wang:
Discovering Interesting Co-location Patterns Interactively Using Ontologies. 75-89 - Wenqiang Wang, Peiquan Jin, Shouhong Wan, Lihua Yue:
LFLogging: A Latch-Free Logging Scheme for PCM-Based Big Data Management Systems. 90-102 - Zhenjiang Dong, Jia Deng, Xiaohui Jiang, Yongli Wang:
RTMatch: Real-Time Location Prediction Based on Trajectory Pattern Matching. 103-117 - Cheng Ding, Fan Xia, Gopakumar Gopalakrishnan, Weining Qian, Aoying Zhou:
Online Formation of Large Tree-Structured Team. 118-132 - Tatsuhiro Sakai, Keiichi Tamura, Hajime Kitakami:
Cell-Based DBSCAN Algorithm Using Minimum Bounding Rectangle Criteria. 133-144 - Hongwei Peng, Haojie Hu, Keqiang Wang, Xiaoling Wang:
Time-Aware and Topic-Based Reviewer Assignment. 145-157 - Yan Tang, Qidong Zhang, Huaxin Liu, Wangsong Wang:
Adaptive Bayesian Network Structure Learning from Big Datasets. 158-168 - Xueqin Lin, Jia Zhu
, Yong Tang, Fen Yang, Bo Peng, Weiling Li:
A Novel Approach for Author Name Disambiguation Using Ranking Confidence. 169-182
BDQM
- Zhixin Qi, Hongzhi Wang, Fanshan Meng, Jianzhong Li, Hong Gao:
Capture Missing Values with Inference on Knowledge Base. 185-194 - Kejun Deng, Dongsheng Wang, Junfei Liu:
Weakly-Supervised Named Entity Extraction Using Word Representations. 195-203 - Kai Wei, Pingfang Tian, Jinguang Gu, Li Huang:
RDF Data Assessment Based on Metrics and Improved PageRank Algorithm. 204-212 - Yiwen Tang, Hongzhi Wang, Shiwei Zhang, Huijun Zhang, Ruoxi Shi:
Efficient Web-Based Data Imputation with Graph Model. 213-226 - Yaoqiang Xu, Jiacai Ni:
A New Schema Design Method for Multi-tenant Database. 227-240
SeCoP
- Sayar Kumar Dey, Günter Fahrnberger:
Reader's Choice - A Recommendation Platform. 243-255 - Yulong Li, Zhenhong Chen, Yi Cai, Dongping Huang, Qing Li:
Accelerating Convolutional Neural Networks Using Fine-Tuned Backpropagation Progress. 256-266 - Peipei Gu, Junxia Ma, Wei Chen, Lujuan Deng, Lan Jiang:
A Personalized Learning Strategy Recommendation Approach for Programming Learning. 267-274 - Junze Li, Yi Cai, Zhiwei Cai, Ho-fung Leung, Kai Yang:
Wikipedia Based Short Text Classification Method. 275-286 - Jin Tao, Chenxi Zhang, Weixiong Rao:
An Efficient Boolean Expression Index by Compression. 287-300
DMMOOC
- Zhuoxuan Jiang, Yan Zhang, Xiaoming Li:
MOOCon: A Framework for Semi-supervised Concept Extraction from MOOC Content. 303-315 - Xiaohang Lu, Shengqing Wang, Junjie Huang, Wenguang Chen, Zengwang Yan:
What Decides the Dropout in MOOCs? 316-327 - Xiao Li, Ting Wang, Huaimin Wang:
Exploring N-gram Features in Clickstream Data for MOOC Learning Achievement Prediction. 328-339 - Wei Lu, Tongtong Wang, Min Jiao, Xiaoying Zhang, Shan Wang, Xiaoyong Du, Hong Chen:
Predicting Student Examinee Rate in Massive Open Online Courses. 340-351 - Yong Han, Wenjun Wu, Yanjun Pu:
Task Assignment of Peer Grading in MOOCs. 352-363 - Moke Xu, Yu Liang, Wenjun Wu:
Predicting Honors Student Performance Using RBFNN and PCA Method. 364-375 - Haimeng Duan, Yuanhao Zheng, Lei Shi, Changhong Jin, Hongwei Zeng, Jun Liu:
DKG: An Expanded Knowledge Base for Online Course. 376-386 - Yongzheng Jia, Zhengyang Song, Xiaolan Bai, Wei Xu:
Towards Economic Models for MOOC Pricing Strategy Design. 387-398 - Yao Lu, Xinjun Mao, Gang Yin, Tao Wang, Yu Bai:
Using Pull-Based Collaborative Development Model in Software Engineering Courses: A Case Study. 399-410 - Zhengzhou Zhu, Yang Li, Youming Zhang, Zhonghai Wu:
A Method of Constructing the Mapping Knowledge Domains in Chinese Based on the MOOCs. 411-416 - Yuan Liang:
Social Friendship-Aware Courses Arrangement on MOOCs. 417-422 - Yunpeng Gao:
Quality-Aware Crowdsourcing Curriculum Recommendation in MOOCs. 423-428 - Dezhi Sun, Bo Liu:
Crowdsourcing Based Teaching Assistant Arrangement for MOOC. 429-435 - Yu Bai, Liqian Chen, Gang Yin, Xinjun Mao, Ye Deng, Tao Wang, Yao Lu, Huaimin Wang:
Quantitative Analysis of Learning Data in a Programming Course. 436-441
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