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Semantic Scholar15. SDM 2015: Vancouver, BC, Canada
Suresh Venkatasubramanian, Jieping Ye:
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015. SIAM 2015, ISBN 978-1-61197-401-0- Front Matter.
- Hau Chan, Shuchu Han, Leman Akoglu:
Where Graph Topology Matters: The Robust Subgraph Problem. 10-18 - Matthijs van Leeuwen, Antti Ukkonen:
Same bang, fewer bucks: efficient discovery of the cost-influence skyline. 19-27 - Nikos Parotsidis, Evaggelia Pitoura, Panayiotis Tsaparas:
Selecting Shortcuts for a Smaller World. 28-36 - Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg, Karsten M. Borgwardt:
Significant Subgraph Mining with Multiple Testing Correction. 37-45 - Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang:
From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding. 46-54 - Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen:
An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. 64-72 - Yijun Sun, Jin Yao, Steve Goodison:
Feature Selection for Nonlinear Regression and its Application to Cancer Research. 73-81 - Xiaokai Wei, Sihong Xie, Philip S. Yu:
Efficient Partial Order Preserving Unsupervised Feature Selection on Networks. 82-90 - Long Q. Tran, Mehrdad Farajtabar, Le Song, Hongyuan Zha:
NetCodec: Community Detection from Individual Activities. 91-99 - Patricia Iglesias Sánchez, Emmanuel Müller, Uwe Leo Korn, Klemens Böhm, Andrea Kappes, Tanja Hartmann, Dorothea Wagner:
Efficient Algorithms for a Robust Modularity-Driven Clustering of Attributed Graphs. 100-108 - Austin R. Benson, David F. Gleich, Jure Leskovec:
Tensor Spectral Clustering for Partitioning Higher-order Network Structures. 118-126 - Danish Contractor, Kashyap Popat, Shajith Ikbal, Sumit Negi, Bikram Sengupta, Mukesh K. Mohania:
Labeling Educational Content with Academic Learning Standards. 136-144 - Justin Granek, Eldad Haber:
Data mining for real mining: A robust algorithm for prospectivity mapping with uncertainties. 145-153 - Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan:
Product Adoption Rate Prediction: A Multi-factor View. 154-162 - Longhui Zhang, Lei Li, Chao Shen, Tao Li:
PatentCom: A Comparative View of Patent Document Retrieval. 163-171 - Himabindu Lakkaraju, Jure Leskovec, Jon M. Kleinberg, Sendhil Mullainathan:
A Bayesian Framework for Modeling Human Evaluations. 181-189 - Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis:
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation. 190-198 - Aditya Krishna Menon, Didi Surian, Sanjay Chawla:
Cross-Modal Retrieval: A Pairwise Classification Approach. 199-207 - Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht:
Binary Classifier Calibration Using a Bayesian Non-Parametric Approach. 208-216 - Jelena Stojanovic, Milos Jovanovic, Djordje Gligorijevic, Zoran Obradovic:
Semi-supervised learning for structured regression on partially observed attributed graphs. 217-225 - Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney:
Health Insurance Market Risk Assessment: Covariate Shift and k-Anonymity. 226-234 - Ruilin Liu, Wendy Hui Wang:
Result Integrity Verification of Outsourced Privacy-preserving Frequent Itemset Mining. 244-252 - Ziqi Liu, Fei Wang, Qinghua Zheng:
Modeling Users' Adoption Behaviors with Social Selection and Influence. 253-261 - Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu:
Exploring the Impact of Dynamic Mutual Influence on Social Event Participation. 262-270 - Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht:
Efficient Online Relative Comparison Kernel Learning. 271-279 - Liangyue Li, Hanghang Tong, Yanghua Xiao, Wei Fan:
Cheetah: Fast Graph Kernel Tracking on Dynamic Graphs. 280-288 - Mohammad Shokoohi-Yekta, Jun Wang, Eamonn J. Keogh:
On the Non-Trivial Generalization of Dynamic Time Warping to the Multi-Dimensional Case. 289-297 - Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji:
Fast Mining of a Network of Coevolving Time Series. 298-306 - Mustafa S. Çetin, Abdullah Mueen, Vince D. Calhoun:
Shapelet Ensemble for Multi-dimensional Time Series. 307-315 - Yifan Fu, Junbin Gao, Xia Hong, David Tien:
Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices. 316-324 - Sanjar Karaev, Pauli Miettinen, Jilles Vreeken:
Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix Factorization. 325-333 - Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu:
Convex Matrix Completion: A Trace-Ball Optimization Perspective. 334-342 - Abhishek Kumar, Vikas Sindhwani:
Near-separable Non-negative Matrix Factorization with ℓ1 and Bregman Loss Functions. 343-351 - Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge:
Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization. 352-360 - Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information. 361-369 - Karthik Subbian, Arindam Banerjee, Sugato Basu:
PLUMS: Predicting Links Using Multiple Sources. 370-378 - Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan:
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. 379-387 - Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han:
GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data. 388-396 - Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga:
Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. 397-405 - Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar:
Rare Class Detection in Networks. 406-414 - Shashidhar Sundareisan, Jilles Vreeken, B. Aditya Prakash:
Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics. 415-423 - Junxiang Chen, Wei Dai, Yizhou Sun, Jennifer G. Dy:
Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. 424-432 - Dóra Erdös, Vatche Ishakian, Azer Bestavros, Evimaria Terzi:
A Divide-and-Conquer Algorithm for Betweenness Centrality. 433-441 - Qingbo Hu, Sihong Xie, Shuyang Lin, Wei Fan, Philip S. Yu:
Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks. 442-450 - Shuangfei Zhai, Zhongfei (Mark) Zhang:
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. 451-459 - Necdet Serhat Aybat, Sahar Zarmehri, Soundar Kumara:
An ADMM Algorithm for Clustering Partially Observed Networks. 460-468 - François Petitjean, Geoffrey I. Webb:
Scaling log-linear analysis to datasets with thousands of variables. 469-477 - Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha:
A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning. 478-486 - Thomas E. Krak, Ad Feelders:
Exceptional Model Mining with Tree-Constrained Gradient Ascent. 487-495 - Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan:
FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models. 496-504 - David C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu:
Hierarchical Active Transfer Learning. 514-522 - Neeraja J. Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Randy H. Katz:
Faster Jobs in Distributed Data Processing using Multi-Task Learning. 532-540 - Zaiyi Chen, Linli Xu, Enhong Chen, Biao Chang, Zhefeng Wang, Yitan Li:
Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction. 541-549 - Sudip Saha, Abhijin Adiga, B. Aditya Prakash, Anil Kumar S. Vullikanti:
Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread. 568-576 - Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu:
Propagation-based Sentiment Analysis for Microblogging Data. 577-585 - Rami Al-Rfou', Vivek Kulkarni, Bryan Perozzi, Steven Skiena:
POLYGLOT-NER: Massive Multilingual Named Entity Recognition. 586-594 - Nicholas Johnson, Arindam Banerjee:
Online Resource Allocation with Structured Diversification. 595-603 - Deguang Kong, Hongxia Jin:
Towards Permission Request Prediction on Mobile Apps via Structure Feature Learning. 604-612 - Xiaodong Chen, Guojie Song, Xinran He, Kunqing Xie:
On Influential Nodes Tracking in Dynamic Social Networks. 613-621 - Shebuti Rayana, Leman Akoglu:
Less is More: Building Selective Anomaly Ensembles with Application to Event Detection in Temporal Graphs. 622-630 - Kejun Huang, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell:
Principled Neuro-Functional Connectivity Discovery. 631-639 - Joel Barajas, Ram Akella, Aaron Flores, Marius Holtan:
Estimating Ad Impact on Clicker Conversions for Causal Attribution: A Potential Outcomes Approach. 640-648 - Min-Hsuan Tsai, Charu C. Aggarwal, Thomas S. Huang:
Towards Classification of Social Streams. 649-657 - Lei Cen, Deguang Kong, Hongxia Jin, Luo Si:
Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. 658-666 - Dan C. Coroian, Kris Hauser:
Learning Stroke Treatment Progression Models for an MDP Clinical Decision Support System. 676-684 - Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu:
OnlineCM: Real-time Consensus Classification with Missing Values. 685-693 - Long T. Le, Tina Eliassi-Rad, Hanghang Tong:
MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. 694-702 - Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships. 703-711 - Charmgil Hong, Iyad Batal, Milos Hauskrecht:
A Generalized Mixture Framework for Multi-label Classification. 712-720 - Ying Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shuai Huang:
Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease. 721-729 - Anuj Karpatne, Ankush Khandelwal, Vipin Kumar:
Ensemble Learning Methods for Binary Classification with Multi-modality within the Classes. 730-738 - Chia-Tung Kuo, James Bailey, Ian Davidson:
A Framework for Simplifying Trip Data into Networks via Coupled Matrix Factorization. 739-747 - Hongfu Liu, Junjie Wu, Dacheng Tao, Yuchao Zhang, Yun Fu:
DIAS: A Disassemble-Assemble Framework for Highly Sparse Text Clustering. 766-774 - Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu:
Predicting Neighbor Distribution in Heterogeneous Information Networks. 784-791 - Qi Mao, Le Yang, Li Wang, Steve Goodison, Yijun Sun:
SimplePPT: A Simple Principal Tree Algorithm. 792-800 - Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya:
Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos. 801-809 - Risa B. Myers, John C. Frenzel, Joseph R. Ruiz, Christopher M. Jermaine:
Correlating Surgical Vital Sign Quality with 30-Day Outcomes using Regression on Time Series Segment Features. 810-818 - Iku Ohama, Takuya Kida, Hiroki Arimura:
Multi-Layered Framework for Modeling Relationships between Biased Objects. 819-827 - Pat Jangyodsuk, Panagiotis Papapetrou, Vassilis Athitsos:
Optimizing Hashing Functions for Similarity Indexing in Arbitrary Metric and Nonmetric Spaces. 828-836 - Dae Hoon Park, ChengXiang Zhai, Lifan Guo:
SpecLDA: Modeling Product Reviews and Specifications to Generate Augmented Specifications. 837-845 - NhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire:
Mining Multi-Relational Gradual Patterns. 846-854 - Minghui Qiu, Yanchuan Sim, Noah A. Smith, Jing Jiang:
Modeling User Arguments, Interactions, and Attributes for Stance Prediction in Online Debate Forums. 855-863 - Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi:
Predicting Preference Tags to Improve Item Recommendation. 864-872 - Vinícius M. A. de Souza, Diego Furtado Silva, João Gama, Gustavo E. A. P. A. Batista:
Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. 873-881 - Lavanya Sita Tekumalla, Chiranjib Bhattacharyya:
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson. 882-890 - Liudmila Ulanova, Nurjahan Begum, Eamonn J. Keogh:
Scalable Clustering of Time Series with U-Shapelets. 900-908 - Mengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han:
Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network. 918-926 - Teng Wang, Chunsheng Victor Fang, Derek Lin, Shyhtsun Felix Wu:
Localizing Temporal Anomalies in Large Evolving Graphs. 927-935 - Joyce Jiyoung Whang, Inderjit S. Dhillon, David F. Gleich:
Non-exhaustive, Overlapping k-means. 936-944 - Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang:
Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. 945-953 - Shengsheng Wang, Zi Huang, Xin-Shun Xu:
A Multi-label Least-Squares Hashing For Scalable Image Search. 954-962 - Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Spatiotemporal Event Forecasting in Social Media. 963-971 - Back Matter. 972-976
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last updated on 2017-07-27 22:53 CEST by the dblp team