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ORCID16th SDM 2016: Miami, Florida, USA
- Sanjay Chawla Venkatasubramanian, Wagner Meira Jr.:
Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016. SIAM 2016, ISBN 978-1-61197-434-8 - Front Matter.
- Liudmila Ulanova, Nurjahan Begum, Mohammad Shokoohi-Yekta, Eamonn J. Keogh:
Clustering in the Face of Fast Changing Streams. 1-9 - Xiao Bian, Feng Li, Xia Ning:
Kernelized Sparse Self-Representation for Clustering and Recommendation. 10-17 - Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy
, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang:
Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. 18-26 - Reza Sadoddin, Jörg Sander, Davood Rafiei:
Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data. 27-35 - Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. 36-44 - Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy:
Regularized Weighted Linear Regression for High-dimensional Censored Data. 45-53 - Jiliang Tang, Charu C. Aggarwal, Huan Liu:
Node Classification in Signed Social Networks. 54-62 - Pei-Lun Liao, Chung-Kuang Chou, Ming-Syan Chen:
Uncovering Multiple Diffusion Networks Using the First-Hand Sharing Pattern. 63-71 - Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang:
Integrating Community and Role Detection in Information Networks. 72-80 - Ghazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu:
Exploiting Emotional Information for Trust/Distrust Prediction. 81-89 - Changsung Moon, Dakota Medd, Paul Jones, Steve Harenberg, William Oxbury, Nagiza F. Samatova:
Online Prediction of User Actions through an Ensemble Vote from Vector Representation and Frequency Analysis Models. 90-98 - Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau:
FairPlay: Fraud and Malware Detection in Google Play. 99-107 - Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou:
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. 108-116 - Huayu Li, Richang Hong, Zhiang Wu, Yong Ge:
A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest Recommendation. 117-125 - Zhao Kang, Qiang Cheng:
Top-N Recommendation with Novel Rank Approximation. 126-134 - Chu Guan, Yanjie Fu, Xinjiang Lu, Hui Xiong, Enhong Chen, Yingling Liu:
Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model. 135-143 - Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes:
A Confidence-Based Approach for Balancing Fairness and Accuracy. 144-152 - Christine Task, Chris Clifton:
Differentially Private Significance Testing on Paired-Sample Data. 153-161 - Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous:
A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. 162-170 - Saket Sathe, Charu C. Aggarwal:
LODES: Local Density Meets Spectral Outlier Detection. 171-179 - Tian Qin, Guojie Song, Sizhen Du:
Routine Mining Based Anomaly Detection in Mobile Phone Data. 180-188 - Stephen Ranshous, Steve Harenberg, Kshitij Sharma, Nagiza F. Samatova:
A Scalable Approach for Outlier Detection in Edge Streams Using Sketch-based Approximations. 189-197 - Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
R1STM: One-class Support Tensor Machine with Randomised Kernel. 198-206 - Bryan Perozzi, Leman Akoglu:
Scalable Anomaly Ranking of Attributed Neighborhoods. 207-215 - Hsin-Yuan Huang, Chih-Jen Lin:
Linear and Kernel Classification: When to Use Which? 216-224 - Guozhu Dong, Vahid Taslimitehrani:
Pattern Aided Classification. 225-233 - Rohit Babbar, Krikamol Muandet, Bernhard Schölkopf:
TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification. 234-242 - Wenling Shang, Kihyuk Sohn, Honglak Lee, Anna C. Gilbert:
Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit. 243-251 - John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian:
A Unified View of Localized Kernel Learning. 252-260 - Mahdi Pakdaman Naeini, Gregory F. Cooper:
Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation. 261-269 - Kais Allab, Lazhar Labiod, Mohamed Nadif:
Power Simultaneous Spectral Data Embedding and Clustering. 270-278 - Phuong Nguyen, Aleksander Slominski, Vinod Muthusamy, Vatche Ishakian, Klara Nahrstedt:
Process Trace Clustering: A Heterogeneous Information Network Approach. 279-287 - Mohadeseh Ganji, James Bailey, Peter J. Stuckey:
Lagrangian Constrained Clustering. 288-296 - Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon:
Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering. 297-305 - Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif:
Stochastic Co-clustering for Document-Term Data. 306-314 - Eran Shaham, Honghai Yu, Xiaoli Li:
On finding the maximum edge biclique in a bipartite graph: a subspace clustering approach. 315-323 - Petr Rysavý, Greg Hamerly:
Geometric methods to accelerate k-means algorithms. 324-332 - Takashi Hattori, Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda, Eri Kobayashi:
Pivot-based k-means Algorithm for Numerous-class Data Sets. 333-341 - Artem Barger, Dan Feldman:
k-Means for Streaming and Distributed Big Sparse Data. 342-350 - Afonso Expedito Da Silva, Lucas L. Sanches, Antonio C. Fraideinberze, Robson L. F. Cordeiro:
Haliteds: Fast and Scalable Subspace Clustering for Multidimensional Data Streams. 351-359 - Masud Moshtaghi, Christopher Leckie, James C. Bezdek:
Online Clustering of Multivariate Time-series. 360-368 - Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Learning A Task-Specific Deep Architecture For Clustering. 369-377 - Xinyue Liu, Charu C. Aggarwal, Yufeng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe:
Kernelized Matrix Factorization for Collaborative Filtering. 378-386 - Jundong Li, Xia Hu, Liang Wu, Huan Liu:
Robust Unsupervised Feature Selection on Networked Data. 387-395 - Dung D. Le, Hady Wirawan Lauw:
Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization. 396-404 - Morteza Haghir Chehreghani:
K-Nearest Neighbor Search and Outlier Detection via Minimax Distances. 405-413 - Xiaokai Wei, Bokai Cao, Philip S. Yu:
Nonlinear Joint Unsupervised Feature Selection. 414-422 - Simone Romano, Xuan Vinh Nguyen, James Bailey, Karin Verspoor:
A Framework to Adjust Dependency Measure Estimates for Chance. 423-431 - Yu Cheng, Fei Wang, Ping Zhang, Jianying Hu:
Risk Prediction with Electronic Health Records: A Deep Learning Approach. 432-440 - Yaser Keneshloo, Shuguang Wang, Eui-Hong Sam Han, Naren Ramakrishnan:
Predicting the Popularity of News Articles. 441-449 - Mohamed Kafsi, Raphaël Braunschweig, Danielle Mersch, Matthias Grossglauser, Laurent Keller, Patrick Thiran:
Uncovering Latent Behaviors in Ant Colonies. 450-458 - Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong:
The Impact of Community Safety on House Ranking. 459-467 - Liangyue Li, Hanghang Tong, Jie Tang, Wei Fan:
iPath: Forecasting the Pathway to Impact. 468-476 - Xide Xia, Pavlos Protopapas, Finale Doshi-Velez:
Cost-Sensitive Batch Mode Active Learning: Designing Astronomical Observation by Optimizing Telescope Time and Telescope Choice. 477-485 - Yu Su, Fangqiu Han, Richard E. Harang, Xifeng Yan:
A Fast Kernel for Attributed Graphs. 486-494 - Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos:
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. 495-503 - Ahsanur Rahman, Steve T. K. Jan, Hyunju Kim, B. Aditya Prakash, T. M. Murali:
Unstable Communities in Network Ensembles. 504-512 - Yuto Yamaguchi, Christos Faloutsos, Hiroyuki Kitagawa:
CAMLP: Confidence-Aware Modulated Label Propagation. 513-521 - Pei Lee, Laks V. S. Lakshmanan:
Query-Driven Maximum Quasi-Clique Search. 522-530 - Fangqiu Han, Shulong Tan, Huan Sun, Mudhakar Srivatsa, Deng Cai, Xifeng Yan:
Distributed Representations of Expertise. 531-539 - Doyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao:
Temporal Kernel Descriptors for Learning with Time-sensitive Patterns. 540-548 - Alexandr V. Maslov, Mykola Pechenizkiy, Indre Zliobaite, Tommi Kärkkäinen:
Modelling Recurrent Events for Improving Online Change Detection. 549-557 - Jingbo Shang, Jian Peng, Jiawei Han:
MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. 558-566 - Jingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han:
DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework. 567-575 - Ariyam Das, Carlo Zaniolo:
Fast Lossless Frequent Itemset Mining in Data Streams using Crucial Patterns. 576-584 - Hoang Vu Nguyen, Jilles Vreeken:
Flexibly Mining Better Subgroups. 585-593 - Raajen Patel, Tom Goldstein, Eva L. Dyer, Azalia Mirhoseini, Richard G. Baraniuk:
Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky Decomposition. 594-602 - Michael B. Hynes, Hans De Sterck:
A polynomial expansion line search for large-scale unconstrained minimization of smooth L2-regularized loss functions, with implementation in Apache Spark. 603-611 - Athanasia Polychronopoulou, Zoran Obradovic:
Structured Regression on Multilayer Networks. 612-620 - Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang:
RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks. 621-629 - Shebuti Rayana, Leman Akoglu:
Collective Opinion Spam Detection using Active Inference. 630-638 - Vijay Manikandan Janakiraman, Bryan L. Matthews, Nikunj C. Oza:
Discovery of Precursors to Adverse Events using Time Series Data. 639-647 - Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu:
Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction. 648-656 - Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou:
GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. 657-665 - Peng Yang, Guangxia Li, Peilin Zhao, Xiaoli Li, Sujatha Das Gollapalli:
Learning Correlative and Personalized Structure for Online Multi-Task Classification. 666-674 - Jing Lu, Peilin Zhao, Steven C. H. Hoi:
Online Sparse Passive Aggressive Learning with Kernels. 675-683 - P. Balamurugan, Anusha Posinasetty, Shirish K. Shevade:
ADMM for Training Sparse Structural SVMs with Augmented ℓ1 Regularizers. 684-692 - Ying Tai, Jian Yang, Fanlong Zhang, Yigong Zhang, Lei Luo, Jianjun Qian:
Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and Misalignment. 693-701 - Sanjar Karaev, Pauli Miettinen:
Capricorn: An Algorithm for Subtropical Matrix Factorization. 702-710 - Evangelos E. Papalexakis:
Automatic Unsupervised Tensor Mining with Quality Assessment. 711-719 - Yu Ito, Shinichi Oeda, Kenji Yamanishi:
Rank Selection for Non-negative Matrix Factorization with Normalized Maximum Likelihood Coding. 720-728 - Ximing Li, Jihong Ouyang, Xiaotang Zhou:
Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation. 729-737 - Mayukh Das, Yuqing Wu, Tushar Khot, Kristian Kersting, Sriraam Natarajan:
Scaling Lifted Probabilistic Inference and Learning Via Graph Databases. 738-746 - Song Liu, Kenji Fukumizu:
Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective. 747-755 - Paul Quint, Stephen D. Scott, N. V. Vinodchandran, Bradley Worley:
Constrained Group Testing to Predict Binding Response of Candidate Compounds. 756-764 - Yan Li, Kevin S. Xu, Chandan K. Reddy:
Regularized Parametric Regression for High-dimensional Survival Analysis. 765-773 - Lavanya Sita Tekumalla, Chiranjib Bhattacharyya:
Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading. 774-782 - Venkata Krishna Pillutla, Zhanpeng Fang, Pravallika Devineni, Christos Faloutsos, Danai Koutra, Jie Tang:
On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries. 783-791 - Hoang Vu Nguyen, Panagiotis Mandros, Jilles Vreeken:
Universal Dependency Analysis. 792-800 - Amir Asiaee T., Soumyadeep Chatterjee, Arindam Banerjee:
High Dimensional Structured Estimation with Noisy Designs. 801-809 - Zitao Liu, Milos Hauskrecht:
Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework. 810-818 - Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin:
Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. 819-827 - Hoang Vu Nguyen, Jilles Vreeken:
Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series. 828-836 - Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation. 837-845 - Chao Han, Shanshan Zhang, Mohamed F. Ghalwash, Slobodan Vucetic, Zoran Obradovic:
Joint Learning of Representation and Structure for Sparse Regression on Graphs. 846-854 - Roland Assam, Subramanyam Sathyanarayana, Thomas Seidl:
Infusing Geo-Recency Mixture Models for Effective Location Prediction in LBSN. 855-863 - Back Matter. 864-867
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