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ORCID23rd PAKDD 2019: Macau, China
- Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11439, Springer 2019, ISBN 978-3-030-16147-7
Classification and Supervised Learning
- Simon Luo
, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong:
Multitask Learning for Sparse Failure Prediction. 3-14 - Sandhya Tripathi, Nandyala Hemachandra:
Cost Sensitive Learning in the Presence of Symmetric Label Noise. 15-28 - Md. Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang:
Semantic Explanations in Ensemble Learning. 29-41 - Shuoran Jiang, Yarui Chen, Zhifei Qin, Jucheng Yang, Tingting Zhao, Chuanlei Zhang:
Latent Gaussian-Multinomial Generative Model for Annotated Data. 42-54 - Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi:
Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers. 55-68 - Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
On Calibration of Nested Dichotomies. 69-80 - Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. 81-93
Text and Opinion Mining
- Yakun Wang, Zhongbao Zhang, Sen Su, Muhammad Azam Zia:
Topic-Level Bursty Study for Bursty Topic Detection in Microblogs. 97-109 - Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He:
Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. 110-122 - Jingyuan Zhang, Guangluan Xu, Xinyi Wang, Xian Sun, Tinglei Huang:
Syntax-Aware Representation for Aspect Term Extraction. 123-134 - Huifang Ma, Wen Liu, Zhixin Li, Xianghong Lin:
Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features. 135-147 - Yuanquan Lu, Wei Zhang, Pan Lu, Jianyong Wang:
A Novel Hybrid Sequential Model for Review-Based Rating Prediction. 148-159 - Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu:
Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias. 160-171 - Xue Zhao, Ying Zhang, Xiaojie Yuan:
Dependency-Aware Attention Model for Emotion Analysis for Online News. 172-184 - Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty:
Multi-task Learning for Target-Dependent Sentiment Classification. 185-197 - Yu Wang, Yun Li, Ziye Zhu, Bin Xia, Zheng Liu:
SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition. 198-209 - Zilong Wang, Zhaohong Wan, Xiaojun Wan:
BAB-QA: A New Neural Model for Emotion Detection in Multi-party Dialogue. 210-221 - Qian Li, Qiang Wu, Chengzhang Zhu, Jian Zhang, Wentao Zhao:
Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem. 222-236 - Kushal Chawla, Sopan Khosla, Niyati Chhaya:
Gated Convolutional Encoder-Decoder for Semi-supervised Affect Prediction. 237-250 - Shuyang Wang, Bin Wu, Bai Wang, Xuesong Tong:
Complaint Classification Using Hybrid-Attention GRU Neural Network. 251-262
Spatio-Temporal and Stream Data Mining
- Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li:
FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction. 265-279 - Matthias Carnein, Heike Trautmann:
Customer Segmentation Based on Transactional Data Using Stream Clustering. 280-292 - Aman Ahuja, Ashish Baghudana, Wei Lu, Edward A. Fox, Chandan K. Reddy:
Spatio-Temporal Event Detection from Multiple Data Sources. 293-305 - Shaopeng Wang, Ye Yuan, Hua Li:
Discovering All-Chain Set in Streaming Time Series. 306-318 - Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen:
Hawkes Process with Stochastic Triggering Kernel. 319-330 - Ling Lin, Xiaolong Qi, Zhirui Zhu, Yang Gao:
Concept Drift Based Multi-dimensional Data Streams Sampling Method. 331-342 - Long Hoang Nguyen, Jiazhen Zhu, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo, Fang Jin:
Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction. 343-354
Factor and Tensor Analysis
- Nguyen Lu Dang Khoa, Hongda Tian, Yang Wang, Fang Chen:
Online Data Fusion Using Incremental Tensor Learning. 357-369 - Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif:
Co-clustering from Tensor Data. 370-383 - Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu:
A Data-Aware Latent Factor Model for Web Service QoS Prediction. 384-399 - Zhe-Li Lin, Chuan-Ju Wang:
Keyword Extraction with Character-Level Convolutional Neural Tensor Networks. 400-413 - Teng Xiao, Hong Shen:
Neural Variational Matrix Factorization with Side Information for Collaborative Filtering. 414-425 - Teng Xiao, Hui Tian, Hong Shen:
Variational Deep Collaborative Matrix Factorization for Social Recommendation. 426-437
Healthcare, Bioinformatics and Related Topics
- Jianfei Zhang, Shengrui Wang, Lifei Chen, Gongde Guo, Rongbo Chen, Alain Vanasse:
Time-Dependent Survival Neural Network for Remaining Useful Life Prediction. 441-452 - Kaili Cheng, Jiarui Sun, Xuesong Chen, Yanbo Ma, Mengjie Bai, Yong Zhao:
ACNet: Aggregated Channels Network for Automated Mitosis Detection. 453-464 - Nan Xu, Yanyan Shen, Yanmin Zhu:
Attention-Based Hierarchical Recurrent Neural Network for Phenotype Classification. 465-476 - Canghong Jin, Haoqiang Liang, Dongkai Chen, Zhiwei Lin, Minghui Wu:
Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network. 477-488 - Ying Zhang, Wendi Ji, Haofen Wang, Xiaoling Wang, Jin Chen:
MC-eLDA: Towards Pathogenesis Analysis in Traditional Chinese Medicine by Multi-Content Embedding LDA. 489-500 - Yang Song, Wenxin Hu, Liang He, Liang Dou:
Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function. 501-513 - Sharon X. Lee:
CytoFA: Automated Gating of Mass Cytometry Data via Robust Skew Factor Analzyers. 514-525
Clustering and Anomaly Detection
- Wei Zhou, Hao Wang, Yan Yang:
Consensus Graph Learning for Incomplete Multi-view Clustering. 529-540 - Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. 541-554 - Sahar Behzadi, Nikola S. Müller, Claudia Plant, Christian Böhm:
Clustering of Mixed-Type Data Considering Concept Hierarchies. 555-573 - Xueshuang Ren, Liming Wang:
DMNAED: A Novel Framework Based on Dynamic Memory Network for Abnormal Event Detection in Enterprise Networks. 574-586 - Fan Meng, Yang Gao, Jing Huo, Xiaolong Qi, Shichao Yi:
NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric. 587-599 - Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan:
Dynamic Anomaly Detection Using Vector Autoregressive Model. 600-611 - Zhigang Lu, Hong Shen:
A Convergent Differentially Private k-Means Clustering Algorithm. 612-624
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