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Advances in knowledge discovery and data mining : 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings. Part III

Author: Qiang Yang; Zhi-Hua Zhou, (Computer scientist); Zhiguo Gong; Min-Ling Zhang; Sheng-Jun Huang
Publisher: Cham, Switzerland : Springer, 2019.
Series: Lecture notes in computer science., Lecture notes in artificial intelligence.; Lecture notes in computer science, 11441.; LNCS sublibrary., SL 7,, Artificial intelligence.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
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 [42 in part III] were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Printed edition:
Printed edition:
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Qiang Yang; Zhi-Hua Zhou, (Computer scientist); Zhiguo Gong; Min-Ling Zhang; Sheng-Jun Huang
ISBN: 9783030161422 3030161420 3030161412 9783030161415 9783030161439 3030161439
OCLC Number: 1096282719
Notes: International conference proceedings.
Includes author index.
Description: 1 online resource (xxviii, 556 pages) : illustrations (some color)
Contents: [I]. Representation learning and embedding: 1. AAANE : attention-based adversarial autoencoder for multi-scale network embedding / Lei Sang, Min Xu, Shengsheng Qian, and Xindong Wu --
2. NEAR: normalized network embedding with autoencoder for top-K item recommendation / Dedong Li, Aimin Zhou, and Chuan Shi --
3. Ranking network embedding via adversarial learning / Quanyu Dai, Qiang Li, Liang Zhang, and Dan Wang --
4. Selective training : a strategy for fast backpropagation on sentence embeddings / Jan Neerbek, Peter Dolog, and Ira Assent --
5. Extracting keyphrases from research papers using word embeddings / Wei Fan, Huan Liu, Suge Wang, Yuxiang Zhang, and Yaocheng Chang --
6. Sequential embedding induced text clustering, a non-parametric Bayesian approach / Tiehang Duan, Qi Lou, Sargur N. Srihari, and Xiaohui Xie --
7. SSNE : status signed network embedding / Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, and Wenjun Wang --
8. On the network embedding in sparse signed networks / Ayan Kumar Bhowmick, Koushik Meneni, and Bivas Mitra --
9. MSNE : a novel Markov chain sampling strategy for network embedding / Ran Wang, Yang Song, and Xin-yu Dai --
10. Auto-encoder based co-training multi-view representation learning / Run-kun Lu, Jian-wei Liu, Yuan-fang Wang, Hao-jie Xie, and Xin Zuo --
11. Robust semi-supervised representation learning for graph-structured data / Lan-Zhe Guo, Tao Han, and Yu-Feng Li --
12. Characterizing the SOM feature detectors under various input conditions / Macario O. Cordel II and Arnulfo P. Azcarraga --
13. PCANE : preserving context attributes for network embedding / Danhao Zhu, Xin-yu Dai, Kaijia Yang, Jiajun Chen, and Yong He --
14. A novel framework for node/edge attributed graph embedding / Guolei Sun and Xiangliang Zhang. [II]. Mining unstructured and semi-structured data: 15. Context-aware dual-attention network for natural language inference / Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, and C.L. Philip Chen --
16. Best from top k versus top 1 : improving distant supervision relation extraction with deep reinforcement learning / Yaocheng Gui, Qian Liu, Tingming Lu, and Zhiqiang Gao --
17. Towarsd one reusable model for various software defect mining tasks / Heng-Yi Li, Ming Li, and Zhi-Hua Zhou --
18. User preference-aware review generation / Wei Wang, Hai-Tao Zheng, and Hao Liu --
19. Mining cluster patterns in XML Corpora via latent topic models of content and structure / Gianni Costa and Riccardo Ortale --
20. A large-scale repository of deterministic regular expression patterns and its applications / Haiming Chen, Yeting Li, Chunmei Dong, Xinyu Chu, Xiaoying Mou, and Weidong Min --
21. Determining the impact of missing values on blocking in record linkage / Imrul Chowdhury Anindya, Murat Kantarcioglu, and Bradley Malin. [III]. Behavioral data mining: 22. Bridging the gap between research and production with CODE / Yiping Jin, Dittaya Wanvarie, and Phu T.V. Le --
23. Distance2Pre : personalized spatial preference for next point-of-interest prediction / Qiang Cui, Yuyuan Tang, Shu Wu, and Liang Wang --
24. Using multi-objective optimization to solve the long tail problem in recommender system / Jiaona Pang, Jun Guo, and Wei Zhang --
25. Event2Vec : learning event representations using spatial-temporal information for recommendations / Yan Wang and Jie Tang --
26. Maximizing gain over flexible attributes in peer to peer marketplaces / Abolfazl Asudeh, Azade Nazi, Nick Koudas, and Gautam Das --
27. An attentive spatio-temporal neural model for successive point of interest recommendation / Khoa D. Doan, Guolei Yang, and Chandan K. Reddy --
28. Mentor pattern identification from product usage logs / Ankur Garg, Aman Kharb, Yash H. Malviya, J.P. Sagar, Atanu R. Sinha, Iftikhar Ahamath Burhanuddin, and Sunav Choudhary. [IV]. Visual data mining: 29. AggregationNet : identifying multiple changes based on convolutional neural network in bitemporal optical remote sensing images / Qiankun Ye, Xiankai Lu, Hong Huo, Lihong Wan, Yiyou Guo, and Tao Fang --
30. Detecting micro-expression intensity changes from videos based on hybrid deep CNN / Selvarajah Thuseethan, Sutharshan Rajasegarar, and John Yearwood --
31. A multi-scale recalibrated approach for 3D human pose estimation / Ziwei Xie, Hailun Xia, and Chunyan Feng --
32. Gossiping in the videos : an embedding-based generative adversarial framework for time-sync comments generation / Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An, and Zhongming Chen --
33. Self-paced robust deep face recognition with label noise / Pengfei Zhu, Wenya Ma, and Qinghua Hu --
34. Multi-constraints-based enhanced class-specific dictionary learning for image classification / Ze Tian and Ming Yang --
35. Discovering senile dementia from brain MRI using Ra-DenseNet / Xiaobo Zhang, Yan Yang, Tianrui Li, Hao Wang, and Ziqing He. [V]. Knowledge graph and interpretable data mining: 36. Granger causality for heterogeneous processes / Sahar Behzadi, Kateřina Hlaváčková-Schindler, and Claudia Plant --
37. Knowledge graph embedding with order information of triplets / Jun Yuan, Neng Gao, Ji Xiang, Chenyang Tu, and Jingquan Ge --
38. Knowledge graph rule mining via transfer learning / Pouya Ghiasnezhad Omran, Zhe Wang, and Kewen Wang --
39. Knowledge base completion by inference from both relational and literal facts / Zhichun Wang and Yong Huang --
40. EMT : a tail-oriented method for specific domain knowledge graph completion / Yi Zhang, Zhijuan Du, and Xiaofeng Meng --
41. An interpretable neural model with interactive stepwise influence / Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, and Xia Hu --
42. Multivariate time series early classification with interpretability using deep learning and attention mechanism / En-Yu Hsu, Chien-Liang Liu, and Vincent S. Tseng.
Series Title: Lecture notes in computer science., Lecture notes in artificial intelligence.; Lecture notes in computer science, 11441.; LNCS sublibrary., SL 7,, Artificial intelligence.
Other Titles: PAKDD 2019
Responsibility: Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang (eds.).

Abstract:

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  Read more...

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