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Conference PAKDD (Conference) (23rd : 2019 : Macau, China)
Title Advances in knowledge discovery and data mining : 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings. Part I / Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang (eds.).
Imprint Cham : Springer, 2019.

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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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Conference PAKDD (Conference) (23rd : 2019 : Macau, China)
Series Lecture notes in computer science ; 11439.
Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science ; 11439.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Data mining -- Congresses.
Alt Name Yang, Qiang, 1961-
Zhou, Zhi-Hua (Computer scientist),
Gong, Zhiguo.,
Zhang, Min-Ling,
Huang, Sheng-Jun,
Add Title PAKDD 2019
Description 1 online resource (xl, 627 pages) : illustrations (some color).
polychrome rdacc
Note International conference proceedings.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed April 10, 2019).
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.
Contents [I]. Classification and supervised learning: 1. Multitask learning for sparse failure prediction / Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, and Raymond K. Wong -- 2. Cost sensitive learning in the presence of symmetric label noise / Sandhya Tripathi and Nandyala Hemachandra -- 3. Semantic explanations in ensemble learning / Md. Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, and Wei Kang -- 4. Latent Gaussian-multinomial generative model for annotated data / Shuoran Jiang, Yarui Chen, Zhifei Qin, Jucheng Yang, Tingting Zhao, and Chuanlei Zhang -- 5. Investigating neighborhood generation methods for explanations of obscure image classifiers / Riccardo Guidotti, Anna Monreale, and Leonardo Cariaggi -- 6. On calibration of nested dichotomies / Tim Leathart, Eibe Frank, Bernhard Pfahringer, and Geoffrey Holmes -- 7. Ensembles of nested dichotomies with multiple subset evaluation / Tim Leathart, Eibe Frank, Bernhard Pfahringer, and Geoffrey Holmes.
[II]. Text and opinion mining: 8. Topic-level bursty study for bursty topic detection in microblogs / Yakun Wang, Zhongbao Zhang, Sen Su, and Muhammad Azam Zia -- 9. Adaptively transfer category-classifier for handwritten Chinese character recognition / Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, and Qing He -- 10. Syntax-aware representation for aspect term extraction / Jingyuan Zhang, Guangluan Xu, Xinyi Wang, Xian Sun, and Tinglei Huang -- 11. Short text similarity measurement based on coupled semantic relation and strong classification features / Huifang Ma, Wen Liu, Zhixin Li, and Xianghong Lin -- 12. A novel hybrid sequential model for review-based rating prediction / Yuanquan Lu, Wei Zhang, Pan Lu, and Jianyong Wang -- 13. Integrating topic model and heterogeneous information network for aspect mining with rating bias / Yugang Ji, Chuan Shi, Fuzhen Zhuang, and Philip S. Yu -- 14. Dependency-aware attention model for emotion analysis for online news / Xue Zhao, Ying Zhang, and Xiaojie Yuan -- 15. Multi-task learning for target-dependent sentiment classification / Divam Gupta, Kushagra Singh, Soumen Chakrabarti, and Tanmoy Chakraborty -- 16. SC-NER : a sequence-to-sequence model with sentence classification for named entity recognition / Yu Wang, Yun Li, Ziye Zhu, Bin Xia, and Zheng Liu -- 17. BAB-QA : a new neural model for emotion detection in multi-party dialogue / Zilong Wang, Zhaohong Wan, and Xiaojun Wan
18. Unsupervised user behavior representation for fraud review detection with cold-start problem / Qian Li, Qiang Wu, Chengzhang Zhu, Jian Zhang, and Wentao Zhao -- 19. Gated convolutional encoder-decoder for semi-supervised affect prediction / Kushal Chawla, Sopan Khosla, and Niyati Chhaya -- 20. Complaint classification using hybrid-attention GRU neural network / Shuyang Wang, Bin Wu, Bai Wang, and Xuesong Tong.
[III]. Spatio-temporal and stream data mining: 21. FGST : fine-grained spatial-temporal based regression for stationless bike traffic prediction / Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, and Zhoujun Li -- 22. Customer segmentation based on transactional data using stream clustering / Matthias Carnein and Heike Trautmann -- 23. Spatio-temporal event detection from multiple data sources / Aman Ahuja, Ashish Baghudana, Wei Lu, Edward A. Fox, and Chandan K. Reddy -- 24. Discovering all-chain set in streaming time series / Shaopeng Wang, Ye Yuan, and Hua Li -- 25. Hawkes process with stochastic triggering kernel / Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, and Fang Chen -- 26. Concept drift based multi-dimensional data streams sampling method / Ling Lin, Xiaolong Qi, Zhirui Zhu, and Yang Gao -- 27. Spatial-temporal multi-task learning for within-field cotton yield prediction / Long H. Nguyen, Jiazhen Zhu, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo, and Fang Jin.
[IV]. Factor and tensor analysis: 28. Online data fusion using incremental tensor learning / Nguyen Lu Dang Khoa, Hongda Tian, Yang Wang, and Fang Chen -- 29. Co-clustering from tensor data / Rafika Boutalbi, Lazhar Labiod, and Mohamed Nadif -- 30. A data-aware latent factor model for web service QoS prediction / Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, and Xindong Wu -- 31. Keyword extraction with character-level convolutional neural tensor networks / Zhe-Li Lin and Chuan-Ju Wang -- 32. Neural variational matrix factorization with side information for collaborative filtering / Teng Xiao and Hong Shen -- 33. Variational deep collaborative matrix factorization for social recommendation / Teng Xiao, Hui Tian, and Hong Shen.
[V]. Healthcare, bioinformatics and related topics: 34. Time-dependent survival neural network for remaining useful life prediction / Jianfei Zhang, Shengrui Wang, Lifei Chen, Gongde Guo, Rongbo Chen, and Alain Vanasse -- 35. ACNet : aggregated channels network for automated mitosis detection / Kaili Cheng, Jiarui Sun, Xuesong Chen, Yanbo Ma, Mengjie Bai, and Yong Zhao -- 36. Attention-based hierarchical recurrent neural network for phenotype classification / Nan Xu, Yanyan Shen, and Yanmin Zhu -- 37. Identifying mobility of drug addicts with multilevel spatial-temporal convolutional neural network / Canghong Jin, Haoqiang Liang, Dongkai Chen, Zhiwei Lin, and Minghui Wu -- 38. MC-eLDA : towards pathogenesis analysis in traditional Chinese medicine by multi-content embedding LDA / Ying Zhang, Wendi Ji, Haofen Wang, Xiaoling Wang, and Jin Chen -- 39. Enhancing the healthcare retrieval with a self-adaptive saturated density function / Yang Song, Wenxin Hu, Liang He, and Liang Dou -- 40. CytoFA : automated gating of mass cytometry data via robust skew factor analyzers / Sharon X. Lee.
[VI]. Clustering and anomaly detection: 41. Consensus graph learning for incomplete multi-view clustering / Wei Zhou, Hao Wang, and Yan Yang -- 42. Beyond outliers and on to micro-clusters : vision-guided anomaly detection / Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, and Xueqi Cheng -- 43. Clustering of mixed-type data considering concept hierarchies / Sahar Behzadi, Nikola S. Muller, Claudia Plant, and Christian Bohm -- 44. DMNAED : a novel framework based on dynamic memory network for abnormal event detection in enterprise networks / Xueshuang Ren and Liming Wang -- 45. NeoLOD : a novel generalized coupled local outlier detection model embedded non-IID similarity metric / Fan Meng, Yang Gao, Jing Huo, Xiaolong Qi, and Shichao Yi -- 46. Dynamic anomaly detection using vector autoregressive model / Yuemeng Li, Aidong Lu, Xintao Wu, and Shuhan Yuan -- 47. A convergent differentiality private k-means clustering algorithm / Zhigang Lu and Hong Shen.
ISBN 9783030161484 (electronic bk.)
303016148X (electronic bk.)
3030161471
9783030161477
9783030161491 (print)
3030161498
9783030161477 (print)
ISBN/ISSN 10.1007/978-3-030-16148-4
OCLC # 1096282882
Additional Format Printed edition: 9783030161477.
Printed edition: 9783030161491.


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