Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I

Description

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. Front Matter ....Pages i-xl Front Matter ....Pages 1-1 Multitask Learning for Sparse Failure Prediction (Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen et al.)....Pages 3-14 Cost Sensitive Learning in the Presence of Symmetric Label Noise (Sandhya Tripathi, Nandyala Hemachandra)....Pages 15-28 Semantic Explanations in Ensemble Learning (Md. Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang)....Pages 29-41 Latent Gaussian-Multinomial Generative Model for Annotated Data (Shuoran Jiang, Yarui Chen, Zhifei Qin, Jucheng Yang, Tingting Zhao, Chuanlei Zhang)....Pages 42-54 Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers (Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi)....Pages 55-68 On Calibration of Nested Dichotomies (Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes)....Pages 69-80 Ensembles of Nested Dichotomies with Multiple Subset Evaluation (Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes)....Pages 81-93 Front Matter ....Pages 95-95 Topic-Level Bursty Study for Bursty Topic Detection in Microblogs (Yakun Wang, Zhongbao Zhang, Sen Su, Muhammad Azam Zia)....Pages 97-109 Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition (Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He)....Pages 110-122 Syntax-Aware Representation for Aspect Term Extraction (Jingyuan Zhang, Guangluan Xu, Xinyi Wang, Xian Sun, Tinglei Huang)....Pages 123-134 Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features (Huifang Ma, Wen Liu, Zhixin Li, Xianghong Lin)....Pages 135-147 A Novel Hybrid Sequential Model for Review-Based Rating Prediction (Yuanquan Lu, Wei Zhang, Pan Lu, Jianyong Wang)....Pages 148-159 Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias (Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu)....Pages 160-171 Dependency-Aware Attention Model for Emotion Analysis for Online News (Xue Zhao, Ying Zhang, Xiaojie Yuan)....Pages 172-184 Multi-task Learning for Target-Dependent Sentiment Classification (Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty)....Pages 185-197 SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition (Yu Wang, Yun Li, Ziye Zhu, Bin Xia, Zheng Liu)....Pages 198-209 BAB-QA: A New Neural Model for Emotion Detection in Multi-party Dialogue (Zilong Wang, Zhaohong Wan, Xiaojun Wan)....Pages 210-221 Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem (Qian Li, Qiang Wu, Chengzhang Zhu, Jian Zhang, Wentao Zhao)....Pages 222-236 Gated Convolutional Encoder-Decoder for Semi-supervised Affect Prediction (Kushal Chawla, Sopan Khosla, Niyati Chhaya)....Pages 237-250 Complaint Classification Using Hybrid-Attention GRU Neural Network (Shuyang Wang, Bin Wu, Bai Wang, Xuesong Tong)....Pages 251-262 Front Matter ....Pages 263-263 FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction (Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li)....Pages 265-279 Customer Segmentation Based on Transactional Data Using Stream Clustering (Matthias Carnein, Heike Trautmann)....Pages 280-292 Spatio-Temporal Event Detection from Multiple Data Sources (Aman Ahuja, Ashish Baghudana, Wei Lu, Edward A. Fox, Chandan K. Reddy)....Pages 293-305 Discovering All-Chain Set in Streaming Time Series (Shaopeng Wang, Ye Yuan, Hua Li)....Pages 306-318 Hawkes Process with Stochastic Triggering Kernel (Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya et al.)....Pages 319-330 Concept Drift Based Multi-dimensional Data Streams Sampling Method (Ling Lin, Xiaolong Qi, Zhirui Zhu, Yang Gao)....Pages 331-342 Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction (Long H. Nguyen, Jiazhen Zhu, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo et al.)....Pages 343-354 Front Matter ....Pages 355-355 Online Data Fusion Using Incremental Tensor Learning (Nguyen Lu Dang Khoa, Hongda Tian, Yang Wang, Fang Chen)....Pages 357-369 Co-clustering from Tensor Data (Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif)....Pages 370-383 A Data-Aware Latent Factor Model for Web Service QoS Prediction (Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu)....Pages 384-399 Keyword Extraction with Character-Level Convolutional Neural Tensor Networks (Zhe-Li Lin, Chuan-Ju Wang)....Pages 400-413 Neural Variational Matrix Factorization with Side Information for Collaborative Filtering (Teng Xiao, Hong Shen)....Pages 414-425 Variational Deep Collaborative Matrix Factorization for Social Recommendation (Teng Xiao, Hui Tian, Hong Shen)....Pages 426-437 Front Matter ....Pages 439-439 Time-Dependent Survival Neural Network for Remaining Useful Life Prediction (Jianfei Zhang, Shengrui Wang, Lifei Chen, Gongde Guo, Rongbo Chen, Alain Vanasse)....Pages 441-452 ACNet: Aggregated Channels Network for Automated Mitosis Detection (Kaili Cheng, Jiarui Sun, Xuesong Chen, Yanbo Ma, Mengjie Bai, Yong Zhao)....Pages 453-464 Attention-Based Hierarchical Recurrent Neural Network for Phenotype Classification (Nan Xu, Yanyan Shen, Yanmin Zhu)....Pages 465-476 Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network (Canghong Jin, Haoqiang Liang, Dongkai Chen, Zhiwei Lin, Minghui Wu)....Pages 477-488 MC-eLDA: Towards Pathogenesis Analysis in Traditional Chinese Medicine by Multi-Content Embedding LDA (Ying Zhang, Wendi Ji, Haofen Wang, Xiaoling Wang, Jin Chen)....Pages 489-500 Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function (Yang Song, Wenxin Hu, Liang He, Liang Dou)....Pages 501-513 CytoFA: Automated Gating of Mass Cytometry Data via Robust Skew Factor Analzyers (Sharon X. Lee)....Pages 514-525 Front Matter ....Pages 527-527 Consensus Graph Learning for Incomplete Multi-view Clustering (Wei Zhou, Hao Wang, Yan Yang)....Pages 529-540 Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection (Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng)....Pages 541-554 Clustering of Mixed-Type Data Considering Concept Hierarchies (Sahar Behzadi, Nikola S. Müller, Claudia Plant, Christian Böhm)....Pages 555-573 DMNAED: A Novel Framework Based on Dynamic Memory Network for Abnormal Event Detection in Enterprise Networks (Xueshuang Ren, Liming Wang)....Pages 574-586 NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric (Fan Meng, Yang Gao, Jing Huo, Xiaolong Qi, Shichao Yi)....Pages 587-599 Dynamic Anomaly Detection Using Vector Autoregressive Model (Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan)....Pages 600-611 A Convergent Differentially Private k-Means Clustering Algorithm (Zhigang Lu, Hong Shen)....Pages 612-624 Back Matter ....Pages 625-627