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Semantic Scholar14. SDM 2014: Philadelphia, Pennsylvania, USA
Mohammed Javeed Zaki, Zoran Obradovic, Pang-Ning Tan, Arindam Banerjee, Chandrika Kamath, Srinivasan Parthasarathy:
Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014. SIAM 2014, ISBN 978-1-61197-344-0- Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok N. Choudhary:
Batch Mode Active Learning with Hierarchical-Structured Embedded Variance. 10-18 - Ou Wu, Shuxiao Li, Honghui Dong, Ying Chen, Weiming Hu:
Learning from Multi-User Multi-Attribute Annotations. 19-27 - Yao Zhang, B. Aditya Prakash:
DAVA: Distributing Vaccines over Networks under Prior Information. 46-54 - Ruichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho:
A Generative Model with Network Regularization for Semi-Supervised Collective Classification. 64-72 - Manish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han:
Local Learning for Mining Outlier Subgraphs from Network Datasets. 73-81 - Nan Li, Huan Sun, Kyle C. Chipman, Jemin George, Xifeng Yan:
A Probabilistic Approach to Uncovering Attributed Graph Anomalies. 82-90 - Danai Koutra, U. Kang, Jilles Vreeken, Christos Faloutsos:
VOG: Summarizing and Understanding Large Graphs. 91-99 - Alex Beutel, Partha Pratim Talukdar, Abhimanu Kumar, Christos Faloutsos, Evangelos E. Papalexakis, Eric P. Xing:
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop. 109-117 - Evangelos E. Papalexakis, Christos Faloutsos, Tom M. Mitchell, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Brian Murphy:
Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x. 118-126 - Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao:
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. 127-135 - Caiming Xiong, Wei Chen, Gang Chen, David M. Johnson, Jason J. Corso:
Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes. 172-180 - Jingrui He, Yan Liu, Qiang Yang:
Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning. 181-189 - Ayan Acharya, Raymond J. Mooney, Joydeep Ghosh:
Active Multitask Learning Using Both Latent and Supervised Shared Topics. 190-198 - Mahito Sugiyama, Chloé-Agathe Azencott, Dominik Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt:
Multi-Task Feature Selection on Multiple Networks via Maximum Flows. 199-207 - Ben Tan, Erheng Zhong, Michael K. Ng, Qiang Yang:
Mixed-Transfer: Transfer Learning over Mixed Graphs. 208-216 - Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai:
Multi-Graph Learning with Positive and Unlabeled Bags. 217-225 - Tri Kurniawan Wijaya, Tanuja Ganu, Dipanjan Chakraborty, Karl Aberer, Deva P. Seetharam:
Consumer Segmentation and Knowledge Extraction from Smart Meter and Survey Data. 226-234 - Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions. 235-243 - Mahmudur Rahman, Bogdan Carbunar, Jaime Ballesteros, George Burri, Duen Horng (Polo) Chau:
Turning the Tide: Curbing Deceptive Yelp Behaviors. 244-252 - Anuj Karpatne, Ankush Khandelwal, Shyam Boriah, Vipin Kumar:
Predictive Learning in the Presence of Heterogeneity and Limited Training Data. 253-261 - Prithwish Chakraborty, Pejman Khadivi, Bryan L. Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. 262-270 - Priyanka Agrawal, Vikas C. Raykar, Amrita Saha:
AUC dominant unsupervised ensemble of binary classifiers. 271-279 - Sunho Park, TaeHyun Hwang, Seungjin Choi:
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. 280-288 - Zheng Chen, Weixiong Zhang:
A Marginalized Denoising Method for Link Prediction in Relational Data. 298-306 - Hau Chan, Leman Akoglu, Hanghang Tong:
Make It or Break It: Manipulating Robustness in Large Networks. 325-333 - Peifeng Yin, Qi He, Xingjie Liu, Wang-Chien Lee:
It Takes Two to Tango: Exploring Social Tie Development with Both Online and Offline Interactions. 334-342 - Zhengwei Wu, Victor M. Preciado:
Laplacian Spectral Properties of Graphs from Random Local Samples. 343-351 - David García-Soriano, Konstantin Kutzkov:
Triangle counting in streamed graphs via small vertex covers. 352-360 - Parikshit Sondhi, ChengXiang Zhai:
A Constrained Hidden Markov Model Approach for Non-Explicit Citation Context Extraction. 361-369 - Ziqi Liu, Qinghua Zheng, Fei Wang, Zhenhua Tian, Bo Li:
A Dynamic Nonparametric Model for Characterizing the Topical Communities in Social Streams. 379-387 - Qiming Diao, Jing Jiang:
Recurrent Chinese Restaurant Process with a Duration-based Discount for Event Identification from Twitter. 388-397 - Marina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, Jiawei Han:
Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents. 398-406 - Johannes Schneider, Michail Vlachos:
On Randomly Projected Hierarchical Clustering with Guarantees. 407-415 - Xiang Wang, Jun Wang, Buyue Qian, Fei Wang, Ian Davidson:
Self-Taught Spectral Clustering via Constraint Augmentation. 416-424 - Ahmed Elgohary, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray:
Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce. 425-433 - Vladimir Vapnik, Igor Braga, Rauf Izmailov:
A Constructive Setting for the Problem of Density Ratio Estimation. 434-442 - Benjamin Peherstorfer, Dirk Pflüger, Hans-Joachim Bungartz:
Density Estimation with Adaptive Sparse Grids for Large Data Sets. 443-451 - Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, Ee-Peng Lim:
Latent Factor Transition for Dynamic Collaborative Filtering. 452-460 - Lijing Qin, Shouyuan Chen, Xiaoyan Zhu:
Contextual Combinatorial Bandit and its Application on Diversified Online Recommendation. 461-469 - Tuan-Anh Hoang, William W. Cohen, Ee-Peng Lim:
On Modeling Community Behaviors and Sentiments in Microblogging. 479-487 - Nana Xu, Hongyan Liu, Jiawei Chen, Jun He, Xiaoyong Du:
Selecting a Representative Set of Diverse Quality Reviews Automatically. 488-496 - Jonathan H. Huggins, Cynthia Rudin:
A Statistical Learning Theory Framework for Supervised Pattern Discovery. 506-514 - Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu:
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events. 515-523 - Jason Lines, Anthony J. Bagnall:
Ensembles of Elastic Distance Measures for Time Series Classification. 524-532 - Zhongyi Hu, Hongan Wang, Jiaqi Zhu, Maozhen Li, Ying Qiao, Changzhi Deng:
Discovery of Rare Sequential Topic Patterns in Document Stream. 533-541 - Erich Schubert, Arthur Zimek, Hans-Peter Kriegel:
Generalized Outlier Detection with Flexible Kernel Density Estimates. 542-550 - Shannon M. Bell, Stephen W. Edwards:
Building associations between markers of environmental stressors and adverse human health impacts using frequent itemset mining. 551-559 - Peder A. Olsen, Ramesh Natarajan, Sholom M. Weiss:
Graphical Models for Identifying Fraud and Waste in Healthcare Claims. 569-577 - Lisa Friedland, Amanda Gentzel, David D. Jensen:
Classifier-Adjusted Density Estimation for Anomaly Detection and One-Class Classification. 578-586 - Xiaojian Zhang, Rui Chen, Jianliang Xu, Xiaofeng Meng, Yingtao Xie:
Towards Accurate Histogram Publication under Differential Privacy. 587-595 - Yexi Jiang, Chang-Shing Perng, Tao Li:
META: Multi-resolution Framework for Event Summarization. 605-613 - Jeffrey W. Lockhart, Gary M. Weiss:
The Benefits of Personalized Smartphone-Based Activity Recognition Models. 614-622 - Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon:
Online Matrix Completion Through Nuclear Norm Regularisation. 623-631 - Xi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar:
Online Discovery of Group Level Events in Time Series. 632-640 - Michael Kamp, Mario Boley, Thomas Gärtner:
Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features. 641-649 - Fabrizio Costa, Mathias Verbeke, Luc De Raedt:
Relational Regularization and Feature Ranking. 650-658 - Pieter Soons, Ad Feelders:
Exploiting Monotonicity Constraints in Active Learning for Ordinal Classification. 659-667 - Christos Giatsidis, Bogdan Cautis, Silviu Maniu, Dimitrios M. Thilikos, Michalis Vazirgiannis:
Quantifying trust dynamics in signed graphs, the S-Cores approach. 668-676 - Alejandro Correa Bahnsen, Aleksandar Stojanovic, Djamila Aouada, Björn E. Ottersten:
Improving Credit Card Fraud Detection with Calibrated Probabilities. 677-685 - Gerhard Sageder, Maia Zaharieva, Matthias Zeppelzauer:
Unsupervised Selection of Robust Audio Feature Subsets. 686-694 - Ting Wang, Fei Wang, Reiner Sailer, Douglas Lee Schales:
Kaleido: Network Traffic Attribution using Multifaceted Footprinting. 695-703 - Marvin Meeng, Wouter Duivesteijn, Arno J. Knobbe:
ROCsearch - An ROC-guided Search Strategy for Subgroup Discovery. 704-712 - Ruilin Liu, Wendy Hui Wang, Changhe Yuan:
Result Integrity Verification of Outsourced Bayesian Network Structure Learning. 713-721 - Ke Wu, Andrea Edwards, Wei Fan, Jing Gao, Kun Zhang:
Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling. 722-730 - Hessam Zakerzadeh, Charu C. Aggarwal, Ken Barker:
Towards Breaking the Curse of Dimensionality for High-Dimensional Privacy. 731-739 - Sujatha Das Gollapalli, Yanjun Qi, Prasenjit Mitra, C. Lee Giles:
Extracting Researcher Metadata with Labeled Features. 740-748 - Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu:
Future Influence Ranking of Scientific Literature. 749-757 - Calvin Newport, Lisa Singh, Yiqing Ren:
Membership Detection Using Cooperative Data Mining Algorithms. 758-766 - Yuxuan Li, James Bailey, Lars Kulik, Jian Pei:
Efficient Matching of Substrings in Uncertain Sequences. 767-775 - Wei Wei, Junfu Yin, Jinyan Li, Longbing Cao:
Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular Vine. 776-784 - Samir Al-Stouhi, Chandan K. Reddy:
Multi-Task Clustering using Constrained Symmetric Non-Negative Matrix Factorization. 785-793 - Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu:
A Weighted Adaptive Mean Shift Clustering Algorithm. 794-802 - Lei Meng, Ah-Hwee Tan:
Community Discovery in Social Networks via Heterogeneous Link Association and Fusion. 803-811 - Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander:
Density-Based Clustering Validation. 839-847 - Chia-Tung Kuo, Ian Davidson:
Directed Interpretable Discovery in Tensors with Sparse Projection. 848-856 - Qingyang Hu, Kevin Chiew, Hao Huang, Qinming He:
Recovering Missing Labels of Crowdsourcing Workers. 857-865 - Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong:
Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. 866-874 - Jinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li:
A New Framework for Traffic Anomaly Detection. 875-883 - Avradeep Bhowmik, Vivek S. Borkar, Dinesh Garg, Madhavan Pallan:
Submodularity in Team Formation Problem. 893-901 - Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi:
Unsupervised Feature Learning by Deep Sparse Coding. 902-910 - Yun Gao, Wei Zhou, Zhang Zhang, Jizhong Han, Dan Meng, Zhiyong Xu:
Online Anomaly Detection by Improved Grammar Compression of Log Sequences. 911-919 - Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan:
Large-Scale Multi-Label Learning with Incomplete Label Assignments. 920-928 - Yan Zhou, Murat Kantarcioglu:
Adversarial Learning with Bayesian Hierarchical Mixtures of Experts. 929-937 - Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu:
Discriminant Analysis for Unsupervised Feature Selection. 938-946 - Wei Gong, Ee-Peng Lim, Feida Zhu, Palakorn Achananuparp, David Lo:
On Finding the Point Where There Is No Return: Turning Point Mining on Game Data. 956-964 - Yijun Zhao, Carla E. Brodley, Tanuja Chitnis, Brian C. Healy:
Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients. 965-973 - Chris S. Magnano, Ameet Soni, Sriraam Natarajan, Gautam Kunapuli:
A graphical model approach to ATLAS-free mining of MRI images. 974-982 - Prithwish Basu, Feng Yu, Amotz Bar-Noy, Dror Rawitz:
To Sample or To Smash? Estimating reachability in large time-varying graphs. 983-991 - Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht:
An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. 992-1000 - Gowtham Atluri, Michael Steinbach, Kelvin O. Lim, Angus W. MacDonald III, Vipin Kumar:
Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time. 1001-1009 - Steve Harenberg, Ramona G. Seay, Stephen Ranshous, Kanchana Padmanabhan, Jitendra K. Harlalka, Eric R. Schendel, Michael P. O'Brien, Rada Chirkova, William Hendrix, Alok N. Choudhary, Vipin Kumar, Murali Doraiswamy, Nagiza F. Samatova:
Memory-efficient Query-driven Community Detection with Application to Complex Disease Associations. 1010-1018 - Vladimir Coric, Nemanja Djuric, Slobodan Vucetic:
Frugal Traffic Monitoring with Autonomous Participatory Sensing. 1019-1027 - Raed I. Seetan, Anne M. Denton, Omar Al Azzam, Ajay Kumar, Jazarai Sturdivant, Shahryar F. Kianian:
Iterative Framework Radiation Hybrid Mapping. 1028-1036 - Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher:
A Guide to Selecting a Network Similarity Method. 1037-1045 - Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael Steinbach, Vipin Kumar:
Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. 1055-1063 - Vignesh Veppur Sankaranarayanan, Junaed Sattar, Laks V. S. Lakshmanan:
Auto-play: A Data Mining Approach to ODI Cricket Simulation and Prediction. 1064-1072 - Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata:
Accelerating Graph Adjacency Matrix Multiplications with Adjacency Forest. 1073-1081
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