| Description |
1 online resource (xxix, 631 pages) : illustrations (some color) |
| Series |
Lecture notes in computer science ; 11440 |
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Lecture notes in artificial intelligence |
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LNCS sublibrary. SL 7, Artificial intelligence |
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Lecture notes in computer science ; 11440.
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Lecture notes in computer science. Lecture notes in artificial intelligence.
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LNCS sublibrary. SL 7, Artificial intelligence.
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| Contents |
[I]. Deep learning models and applications: 1. Semi-interactive attention network for answering understanding in reverse-QA / Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, and Ou Wu -- 2. Neural network based popularity prediction by linking online content with knowledge bases / Wayne Xin Zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, and Ji-Rong Wen -- 3. Passenger demand forecasting with multi-task convolutional recurrent neural networks / Lei Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu, and Xianzhi Wang -- 4. Accurate identification of electrical equipment from power load profiles / Ziyi Wang, Chun Li, and Lin Shang -- 5. Similarity-aware deep attentive model for clickbait detection / Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, and Chaoran Huang -- 6. Topic attentional neural network for abstractive document summarization / Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, and Chaoran Huang -- 7. Parameter transfer unit for deep neural networks / Yinghua Zhang, Yu Zhang, and Qiang Yang -- 8. EFCNN : a restricted convolutional neural network for expert finding / Yifeng Zhao, Jie Tang, and Zhengxiao Du -- 9. CRESA : a deep learning approach to competing risks, recurrent event survival analysis / Garima Gupta, Vishal Sunder, Ranjitha Prasad, and Gautam Shroff -- 10. Long-term traffic time prediction using deep learning with integration of weather effect / Chih-Hsin Chou, Yu Huang, Chian-Yun Huang, and Vincent S. Tseng |
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11. Arrhytmias classification by integrating stacked bidirectional LSTM and two-dimensional CNN / Fan Liu, Xingshe Zhou, Jinli Cao, Zhu Wang, Hua Wang, and Yanchun Zhang -- 12. An efficient and resource-aware hashtag recommendation using deep neural networks / David Kao, Kuan-Ting Lai, and Ming-Syan Chen -- 13. Dynamic student classification on memory networks for knowledge tracing / Sein Minn, Michel C. Desmarais, Feida Zhu, Jing Xiao, and Jianzong Wang -- 14. Targeted knowledge transfer for learning traffic signal plans / Nan Xu, Guanjie Zheng, Kai Xu, Yanmin Zhu, and Zhenhui Li |
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[II]. Sequential pattern mining: 15. Efficiently finding high utility-frequent itemsets using cutoff and suffix utility / R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, and Masaru Kitsuregawa -- 16. How much can a retailer sell? Sales forecasting on Tmall / Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, and Xingyu Zhong -- 17. Hierarchical LSTM : modeling temporal dynamics and taxonomy in location-based mobile check-ins / Chun-Hao Liu, Da-Cheng Juan, Xuan-An Tseng, Wei Wei, Yu-Ting Chen, Jia-Yu Pan, and Shih-Chieh Chang -- 18. Recovering DTW distance between noise superposed NHPP / Yongzhe Chang, Zhidong Li, Bang Zhang, Ling Luo, Arcot Sowmya, Yang Wang, and Fang Chen -- 19. ATNet : answering Cloze-style questions via intra-attention and inter-attention / Chengzhen Fu, Yuntao Li, and Yan Zhang -- 20. Parallel mining of top-k high utility itemsets in spark in-memory computing architecture / Chun-Han Lin, Cheng-Wei Wu, JianTao Huang, and Vincent S. Tseng |
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[III]. Weakly supervised learning: 21. Robust semi-supervised multi-label learning by triple low-rank regularization / Lijuan Sun, Songhe Feng, Gengyu Lyu, and Congyan Lang -- 22. Multi-class semi-supervised logistic I-RELIEF feature selection based on nearest neighbor / Baige Tang and Li Zhang -- 23. Effort-aware tri-training for semi-supervised just-in-time defect prediction / Wenzhou Zhang, Weiwei Li, and Xiuyi Jia -- 24. One shot learning with margin / Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, and Wenxin Liang -- 25. DeepReview : automatic code review using deep multi-instance learning / Heng-Yi Li, Shu-Ting Shi, Ferdian Thung, Xuan Huo, Bowen Xu, Ming Li, and David Lo -- 26. Multi-label active learning with error correcting output codes / Ningzhao Sun, Jincheng Shan, and Chenping Hou -- 27. Dynamically weighted multi-view semi-supervised learning for CAPTCHA / Congqing He, Li Peng, Yuquan Le, and Jiawei He |
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[IV]. Recommender system: 28. A novel top-N recommendation approach based on conditional variational auto-encoder / Bo Pang, Min Yang, and Chongjun Wang -- 29. Jaccard coefficient-based bi-clustering and fusion recommender system for solving data sparsity / Jiangfei Cheng and Li Zhang -- 30. A novel KNN approach for sessin-based recommendation / Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, and Yuzhou Zhang -- 31. A contextual bandit approach to personalized online recommendation via sparse interactions / Chenyu Zhang, Hao Wang, Shangdong Yang, and Yang Gao -- 32. Heterogeneous item recommendation for the air travel industry / Zhicheng He, Jie Liu, Guanghui Xu, and Yalou Huang -- 33. A Minimax game for generative and discriminative sample models for recommendation / Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, and Qingyu Xiong -- 34. RNE : a scalable network embedding for billion-scale recommendation / Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, and Yuan Qi |
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[V]. Social network and graph mining: 35. Graph compression with stars / Faming Li, Zhaonian Zou, Jianzhong Li, and Yingshu Li -- 36. Neighbor-based link prediction with edge uncertainty / Chi Zhang and Osmar R. Zaïane -- 37. Inferring social bridges that diffuse information across communities / Pei Zhang, Ke-Jia Chen, and Tong Wu -- 38. Learning pretopological spaces to extract ego-centered communities / Gaëtan Caillaut, Guillaume Cleuziou, and Nicolas Dugué -- 39. EigenPulse : detecting surges in large streaming graphs with row augmentation / Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, and Xueqi Cheng -- 40. TPLP : two-phase selection link prediction for vertex in graph streams / Yang Xiao, Hong Huang, Feng Zhao, and Hai Jin -- 41. Robust temporal graph clustering for group record linkage / Charini Nanayakkara, Peter Christen, and Thilina Ranbaduge |
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[VI]. Data pre-processing and feature selection: 42. Learning diversified features for object detection via multi-region occlusion example generating / Junsheng Liang, Zhiqiang Li, and Hongchen Guo -- 43. HATDC : a holistic approach for time series data repairing / Xiaojie Liu, Guangxuan Song, and Xiaoling Wang -- 44. Double weighted low-rank representation and its efficient implementation / Jianwei Zheng, Kechen Lou, Ping Yang, Wanjun Chen, and Wanliang Wang -- 45. Exploring dual-triangular structure for efficient R-initiated tall-skinny QR on GPGPU / Nai-Yun Cheng and Ming-Syan Chen -- 46. Efficient autotuning of hyperparameters in approximate nearest neighbor search / Elias Jääsaari, Ville Hyvönen, and Teemu Roos -- 47. An accelerator of feature selection applying a general fuzzy rough model / Peng Ni, Suyun Zhao, Hong Chen, and Cuiping Li -- 48. Text feature extraction and selection based on attention mechanism / Longxuan Ma and Lei Zhang |
| Summary |
The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining |
| Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed April 10, 2019) |
| Subject |
Data mining -- Congresses
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Data mining
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Yang, Qiang, 1961- editor.
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Zhou, Zhi-Hua (Computer scientist), editor.
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Gong, Zhiguo, editor
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Zhang, Min-Ling, editor.
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Huang, Sheng-Jun, editor
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| ISBN |
9783030161453 |
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3030161455 |
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3030161447 |
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9783030161446 |
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9783030161460 |
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3030161463 |
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