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14th 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 - Hong Cao, Chunyu Bao, Xiaoli Li
Class Augmented Active Learning. 1-9 - Yu Cheng, Zhengzhang Chen
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 - Peng Peng
Selective Sampling on Probabilistic Data. 28-36 - Min-Ling Zhang
Disambiguation-Free Partial Label Learning. 37-45 - Yao Zhang, B. Aditya Prakash:
DAVA: Distributing Vaccines over Networks under Prior Information. 46-54 - Nicola Barbieri, Francesco Bonchi:
Influence Maximization with Viral Product Design. 55-63 - 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
VOG: Summarizing and Understanding Large Graphs. 91-99 - Lianhua Chi, Bin Li, Xingquan Zhu
Context-Preserving Hashing for Fast Text Classification. 100-108 - Alex Beutel, Partha Pratim Talukdar, Abhimanu Kumar
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop. 109-117 - Evangelos E. Papalexakis
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 - Juhua Hu, Jian Pei
How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach. 136-144 - Behzad Golshan, Evimaria Terzi:
Unveiling Variables in Systems of Linear Equations. 145-153 - Dan He, Irina Rish, Laxmi Parida:
Transductive HSIC Lasso. 154-162 - Sheng Li, Yun Fu:
Robust Subspace Discovery through Supervised Low-Rank Constraints. 163-171 - 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
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
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
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 - Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang:
A Deep Learning Approach to Link Prediction in Dynamic Networks. 289-297 - Zheng Chen, Weixiong Zhang
A Marginalized Denoising Method for Link Prediction in Relational Data. 298-306 - Peng Peng
Learning on Probabilistic Labels. 307-315 - Erheng Zhong, Wei Fan, Qiang Yang:
Adaptive User Distance Modeling in Social Media. 316-324 - Hau Chan, Leman Akoglu, Hanghang Tong
Make It or Break It: Manipulating Robustness in Large Networks. 325-333 - Peifeng Yin, Qi He
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
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 - Subhabrata Mukherjee, Gaurab Basu, Sachindra Joshi:
Joint Author Sentiment Topic Model. 370-378 - 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 - Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong:
User Preference Learning with Multiple Information Fusion for Restaurant Recommendation. 470-478 - 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 - Matteo Riondato
Finding the True Frequent Itemsets. 497-505 - 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
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
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 - Frank Höppner:
Less is More: Similarity of Time Series under Linear Transformations. 560-568 - 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
Towards Accurate Histogram Publication under Differential Privacy. 587-595 - Peng Yan, Wei Jin:
WCAMiner: A Novel Knowledge Discovery System for Mining Concept Associations using Wikipedia. 596-604 - Yexi Jiang, Chang-Shing Perng, Tao Li:
META: Multi-resolution Framework for Event Summarization. 605-613 - Jeffrey W. Lockhart
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
Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features. 641-649 - Fabrizio Costa
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
Quantifying trust dynamics in signed graphs, the S-Cores approach. 668-676 - Alejandro Correa Bahnsen, Aleksandar Stojanovic, Djamila Aouada
Improving Credit Card Fraud Detection with Calibrated Probabilities. 677-685 - Gerhard Sageder, Maia Zaharieva
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
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
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
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 - Tzu-Ming Kuo, Ching-Pei Lee
Large-scale Kernel RankSVM. 812-820 - Chuan Hu, Huiping Cao
Detecting Influence Relationships from Graphs. 821-829 - Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel:
Discriminative Density-ratio Estimation. 830-838 - Davoud Moulavi, Pablo A. Jaskowiak
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
A New Framework for Traffic Anomaly Detection. 875-883 - Roel Bertens, Arno Siebes:
Characterising Seismic Data. 884-892 - 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
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 - Reza Zafarani, Huan Liu:
Finding Friends on a New Site Using Minimum Information. 947-955 - Wei Gong, Ee-Peng Lim
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 S. Steinbach
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
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
Iterative Framework Radiation Hybrid Mapping. 1028-1036 - Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
A Guide to Selecting a Network Similarity Method. 1037-1045 - Huiwen Yu, Dayu Yuan:
Subgraph Search in Large Graphs with Result Diversification. 1046-1054 - Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael S. Steinbach
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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