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ORCIDSDM 2019: Calgary, Alberta, Canada
- Tanya Y. Berger-Wolf, Nitesh V. Chawla:
Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019. SIAM 2019, ISBN 978-1-61197-567-3 - Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye:
Incremental Multi-view Support Vector Machine. 1-9 - Lecheng Zheng
, Yu Cheng, Jingrui He:
Deep Multimodality Model for Multi-task Multi-view Learning. 10-18 - Boyang Liu, Pang-Ning Tan, Jiayu Zhou:
Augmented Multi-Task Learning by Optimal Transport. 19-27 - Ulf Johansson, Tuwe Löfström, Henrik Boström:
Calibrating Probability Estimation Trees using Venn-Abers Predictors. 28-36 - Qi Wang, Claire Boudreau, Qixing Luo, Pang-Ning Tan, Jiayu Zhou:
Deep Multi-view Information Bottleneck. 37-45 - James Browne, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, Randal C. Burns:
Forest Packing: Fast Parallel, Decision Forests. 46-54 - Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou:
Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. 55-63 - Sha Li, Chao Zhang, Dongming Lei, Ji Li, Jiawei Han:
GeoAttn: Localization of Social Media Messages via Attentional Memory Network. 64-72 - Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, Shicheng Chen, Peilan He:
Bus Travel Speed Prediction using Attention Network of Heterogeneous Correlation Features. 73-81 - Yiqun Xie, Shashi Shekhar:
A Nondeterministic Normalization based Scan Statistic (NN-scan) towards Robust Hotspot Detection: A Summary of Results. 82-90 - Shin-ichi Minato, Jun Kawahara, Fumio Ishioka, Masahiro Mizuta, Koji Kurihara:
A Fast Algorithm for Combinatorial Hotspot Mining Based on Spatial Scan Statistic. 91-99 - Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han:
A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction. 100-108 - Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner:
AMAS: Attention Model for Attributed Sequence Classification. 109-117 - Li Lin, Lijie Wen, Jianmin Wang:
MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence. 118-126 - Mohamed-Bachir Belaid, Christian Bessiere, Nadjib Lazaar:
Constraint Programming for Association Rules. 127-135 - Xiaosheng Li, Jessica Lin:
Linear Time Motif Discovery in Time Series. 136-144 - Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li:
Deep Skip-Gram Networks for Text Classification. 145-153 - Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang:
Mining Rules Incrementally over Large Knowledge Bases. 154-162 - Bastian Bohn, Michael Griebel, Jens Oettershagen:
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids. 163-171 - Dzung T. Phan, Tsuyoshi Idé:
ℓ0-Regularized Sparsity for Probabilistic Mixture Models. 172-180 - Laurent Amsaleg, Oussama Chelly, Michael E. Houle, Ken-ichi Kawarabayashi, Milos Radovanovic, Weeris Treeratanajaru:
Intrinsic Dimensionality Estimation within Tight Localities. 181-189 - Hüseyin Oktay, Akanksha Atrey, David D. Jensen:
Identifying When Effect Restoration Will Improve Estimates of Causal Effect. 190-198 - David Kaltenpoth, Jilles Vreeken:
We Are Not Your Real Parents: Telling Causal from Confounded using MDL. 199-207 - Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao:
Query-Aware Bayesian Committee Machine for Scalable Gaussian Process Regression. 208-216 - Yakun Wang, Ga Wu, Mohamed Reda Bouadjenek, Scott Sanner, Sen Su, Zhongbao Zhang:
A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification. 217-225 - Thi-Huyen Nguyen, Tuan-Anh Hoang, Wolfgang Nejdl:
Efficient Summarizing of Evolving Events from Twitter Streams. 226-234 - Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network. 235-243 - Yan Fan, Chengyu Wang, Boxing Chen, Zhongkai Hu, Xiaofeng He:
SPMM: A Soft Piecewise Mapping Model for Bilingual Lexicon Induction. 244-252 - Honglei Zhuang, Timothy P. Hanratty, Jiawei Har:
Aspect-Based Sentiment Analysis with Minimal Guidance. 253-261 - Liangzhe Chen, B. Aditya Prakash:
Joint Post and Link-level Influence Modeling on Social Media. 262-270 - Nontawat Charoenphakdee, Masashi Sugiyama:
Positive-Unlabeled Classification under Class Prior Shift and Asymmetric Error. 271-279 - Huang Fang, Minhao Cheng, Cho-Jui Hsieh, Michael P. Friedlander:
Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization. 280-288 - Tian-Zuo Wang, Sheng-Jun Huang, Zhi-Hua Zhou:
Towards Identifying Causal Relation Between Instances and Labels. 289-297 - Virgile Landeiro, Tuan Tran, Aron Culotta:
Discovering and Controlling for Latent Confounds in Text Classification Using Adversarial Domain Adaptation. 298-305 - Q. A. Meertens, C. G. H. Diks, H. Jaap van den Herik, Frank W. Takes:
A Bayesian Approach for Accurate Classification-Based Aggregates. 306-314 - Yuzuru Okajima, Kunihiko Sadamasa:
Decision List Optimization based on Continuous Relaxation. 315-323 - Kyle Kloster, Blair D. Sullivan, Andrew van der Poel:
Mining Maximal Induced Bicliques using Odd Cycle Transversals. 324-332 - Lin Zhang, Petko Bogdanov:
DSL: Discriminative Subgraph Learning via Sparse Self-Representation. 333-341 - Carl Yang, Kevin Chang:
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. 342-350 - Revanth Reddy, Sarath Chandar, Balaraman Ravindran:
Edge Replacement Grammars : A Formal Language Approach for Generating Graphs. 351-359 - Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed F. Ghalwash, Zoran Obradovic:
Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. 360-368 - Francesca Arrigo, Francesco Tudisco:
Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS. 369-377 - Nate Veldt, Christine Klymko, David F. Gleich:
Flow-Based Local Graph Clustering with Better Seed Set Inclusion. 378-386 - Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang:
Spherical Principal Component Analysis. 387-395 - Chandrashekhar Lavania, Jeff A. Bilmes:
Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture. 396-404 - Roozbeh Yousefzadeh, Diane Oyen, Nina Lanza:
Learning Diverse Gaussian Graphical Models and Interpreting Edges. 405-413 - Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Deep Co-Clustering. 414-422 - Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo:
Discovering Multiple Co-Clusterings in Subspaces. 423-431 - Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. 432-440 - Zhipeng Luo, Milos Hauskrecht:
Region-Based Active Learning with Hierarchical and Adaptive Region Construction. 441-449 - Aurélien Pélissier, Atsuyoshi Nakamura, Koji Tabata:
Feature selection as Monte-Carlo Search in Growing Single Rooted Directed Acyclic Graph by Best Leaf Identification. 450-458 - Stefan Mojsilovic, Antti Ukkonen:
Relative distance comparisons with confidence judgements. 459-467 - Yuta Saito, Hayato Sakata, Kazuhide Nakata:
Doubly Robust Prediction and Evaluation Methods Improve Uplift Modeling for Observational Data. 468-476 - Avradeep Bhowmik, Minmin Chen, Zhengming Xing, Suju Rajan:
EstImAgg: A Learning Framework for Groupwise Aggregated Data. 477-485 - Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang:
DTEC: Distance Transformation Based Early Time Series Classification. 486-494 - Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic:
Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification. 495-503 - Bryan Hooi, Christos Faloutsos:
Branch and Border: Partition-Based Change Detection in Multivariate Time Series. 504-512 - Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar:
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. 513-521 - Chang Wei Tan, François Petitjean, Geoffrey I. Webb:
Elastic bands across the path: A new framework and method to lower bound DTW. 522-530 - Yike Liu, Linhong Zhu, Pedro A. Szekely, Aram Galstyan, Danai Koutra:
Coupled Clustering of Time-Series and Networks. 531-539 - Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection. 540-548 - Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh:
Incomplete Conditional Density Estimation for Fast Materials Discovery. 549-557 - Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar:
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. 558-566 - Miao Fan, Chao Feng, Mingming Sun, Ping Li, Haifeng Wang:
Reading Customer Reviews to Answer Product-related Questions. 567-575 - Xianli Zhang, Buyue Qian, Xiaoyu Li, Jishang Wei, Yingqian Zheng, Lingyun Song, Qinghua Zheng:
An Interpretable Fast Model for Predicting The Risk of Heart Failure. 576-584 - Yue Zhao, Zain Nasrullah, Maciej K. Hryniewicki, Zheng Li:
LSCP: Locally Selective Combination in Parallel Outlier Ensembles. 585-593 - Kaize Ding, Jundong Li, Rohit Bhanushali, Huan Liu:
Deep Anomaly Detection on Attributed Networks. 594-602 - Wenyu Zhang, Daniel E. Gilbert, David S. Matteson:
ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation. 603-611 - Hemank Lamba, Leman Akoglu:
Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback. 612-620 - Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos:
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. 621-629 - Lei Cai, Hongyang Gao, Shuiwang Ji:
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation. 630-638 - Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang:
Path-based Attribute-aware Representation Learning for Relation Prediction. 639-647 - Zhengyang Wang, Hao Yuan, Shuiwang Ji:
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions. 648-656 - Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang:
Multi-dimensional Graph Convolutional Networks. 657-665 - Andri Ashfahani, Mahardhika Pratama:
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. 666-674 - Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Deep Transfer Reinforcement Learning for Text Summarization. 675-683 - Dingcheng Li, Jingyuan Zhang, Ping Li:
TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding. 684-692 - Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu:
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. 693-701 - Sudhir B. Kylasa, Fred (Farbod) Roosta, Michael W. Mahoney, Ananth Grama:
GPU Accelerated Sub-Sampled Newton's Method for Convex Classification Problems. 702-710 - Jette Henderson, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Jimeng Sun, Joydeep Ghosh, Joyce C. Ho:
CP Tensor Decomposition with Cannot-Link Intermode Constraints. 711-719 - Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad:
Find the dimension that counts: Fast dimension estimation and Krylov PCA. 720-728 - Nikolaj Tatti, Pauli Miettinen:
Boolean matrix factorization meets consecutive ones property. 729-737 - Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
Robust Factorization Machine: A Doubly Capped Norms Minimization. 738-746 - Dongsheng Li, Chao Chen, Zhilin Gong, Tun Lu, Stephen M. Chu, Ning Gu:
Collaborative Filtering with Noisy Ratings. 747-755 - Belén Saldías-Fuentes, Pavlos Protopapas, Karim Pichara B.:
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification. 756-764 - Raehyun Kim, Hyunjae Kim, Janghyuk Lee, Jaewoo Kang:
Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network. 765-773 - Hongzhi Shi, Hancheng Cao, Xiangxin Zhou, Yong Li, Chao Zhang, Vassilis Kostakos, Funing Sun, Fanchao Meng:
Semantics-Aware Hidden Markov Model for Human Mobility. 774-782 - Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo:
Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. 783-791 - Behzad Golshan, Evimaria Terzi, Panayiotis Tsaparas:
Recommendations for optimizing the collective user experience. 792-800 - Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Fairness in representation: quantifying stereotyping as a representational harm. 801-809
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