SDM A

96 papers

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