KDD-2014 Proceedings

A KDD-2014 Proceedings is a KDD proceedings for KDD-2014.

AKA: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
Context:
- It can contain KDD-2014 Papers.
- It is associated with KDD-2014 Annotated Abstracts (and KDD-2014 Abstracts Analysis).
- It can be associated with a KDD-2014 Citations Analysis Report.
- It can be associated with a KDD-2014 References Analysis Report.
- …
Counter-Example(s):
- KDD-2013 Proceedings.
- KDD-2015 Proceedings.
See: ACM Digital Library.

References

2014

(Melli, 2014) ⇒ Gabor Melli. (2014). “Shallow Semantic Parsing of Product Offering Titles (for Better Automatic Hyperlink Insertion) .” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623343
(Song et al., 2014) ⇒ Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, and Ryosuke Shibasaki. (2014). “Prediction of Human Emergency Behavior and their Mobility Following Large-scale Disaster.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623628
(Dong et al., 2014) ⇒ Yuxiao Dong, Yang Yang, Jie Tang, Yang Yang, and Nitesh V. Chawla. (2014). “Inferring User Demographics and Social Strategies in Mobile Social Networks.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623703
(Wang et al., 2014) ⇒ Yilun Wang, Yu Zheng, and Yexiang Xue. (2014). “Travel Time Estimation of a Path Using Sparse Trajectories.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623656
(Lichman & Smyth, 2014) ⇒ Moshe Lichman, and Padhraic Smyth. (2014). “Modeling Human Location Data with Mixtures of Kernel Densities.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623681
(Qu et al., 2014) ⇒ Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, and Hui Xiong. (2014). “A Cost-effective Recommender System for Taxi Drivers.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623668
(Park & Ghosh, 2014) ⇒ Yubin Park, and Joydeep Ghosh. (2014). “LUDIA: An Aggregate-constrained Low-rank Reconstruction Algorithm to Leverage Publicly Released Health Data.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623659
(Mukherjee et al., 2014) ⇒ Subhabrata Mukherjee, Gerhard Weikum, and Cristian Danescu-Niculescu-Mizil. (2014). “People on Drugs: Credibility of User Statements in Health Communities.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623714
(Ghassemi et al., 2014) ⇒ Marzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, and Peter Szolovits. (2014). “Unfolding Physiological State: Mortality Modelling in Intensive Care Units.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623742
(Wang et al., 2014) ⇒ Xiang Wang, David Sontag, and Fei Wang. (2014). “Unsupervised Learning of Disease Progression Models.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623754
(Papalexakis et al., 2014) ⇒ Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, and Christos Faloutsos. (2014). “Good-enough Brain Model: Challenges, Algorithms and Discoveries in Multi-subject Experiments.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623639
(Matsubara et al., 2014) ⇒ Yasuko Matsubara, Yasushi Sakurai, Willem G. van Panhuis, and Christos Faloutsos. (2014). “FUNNEL: Automatic Mining of Spatially Coevolving Epidemics.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623624
(Ho et al., 2014) ⇒ Joyce C. Ho, Joydeep Ghosh, and Jimeng Sun. (2014). “Marble: High-throughput Phenotyping from Electronic Health Records via Sparse Nonnegative Tensor Factorization.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623658
(Chia & Syed, 2014) ⇒ Chih-Chun Chia, and Zeeshan Syed. (2014). “Scalable Noise Mining in Long-term Electrocardiographic Time-series to Predict Death Following Heart Attacks.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623702
(Zhou et al., 2014) ⇒ Jiayu Zhou, Fei Wang, Jianying Hu, and Jieping Ye. (2014). “From Micro to Macro: Data Driven Phenotyping by Densification of Longitudinal Electronic Medical Records.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623711
(Wang et al., 2014) ⇒ Fei Wang, Ping Zhang, Buyue Qian, Xiang Wang, and Ian Davidson. (2014). “Clinical Risk Prediction with Multilinear Sparse Logistic Regression.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623755
(Ross et al., 2014) ⇒ James C. Ross, Peter J. Castaldi, Michael H. Cho, and Jennifer G. Dy. (2014). “Dual Beta Process Priors for Latent Cluster Discovery in Chronic Obstructive Pulmonary Disease.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623750
(Yuan et al., 2014) ⇒ Quan Yuan, Gao Cong, and Chin-Yew Lin. (2014). “COM: A Generative Model for Group Recommendation.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623616
(Charlin et al., 2014) ⇒ Laurent Charlin, Richard S. Zemel, and Hugo Larochelle. (2014). “Leveraging User Libraries to Bootstrap Collaborative Filtering.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623663
(Gu et al., 2014) ⇒ Yupeng Gu, Yizhou Sun, Ning Jiang, Bingyu Wang, and Ting Chen. (2014). “Topic-factorized Ideal Point Estimation Model for Legislative Voting Network.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623700
(Diao et al., 2014) ⇒ Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, and Chong Wang. (2014). “Jointly Modeling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS).” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623758
(Hasan et al., 2014) ⇒ Mahbub Hasan, Abhijith Kashyap, Vagelis Hristidis, and Vassilis Tsotras. (2014). “User Effort Minimization through Adaptive Diversification.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623610
(He et al., 2014) ⇒ Xiao He, Jing Feng, Bettina Konte, Son T. Mai, and Claudia Plant. (2014). “Relevant Overlapping Subspace Clusters on Categorical Data.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623652
(Dundar et al., 2014) ⇒ Murat Dundar, Halid Ziya Yerebakan, and Bartek Rajwa. (2014). “Batch Discovery of Recurring Rare Classes Toward Identifying Anomalous Samples.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623695
(Yin & Wang, 2014) ⇒ Jianhua Yin, and Jianyong Wang. (2014). “A Dirichlet Multinomial Mixture Model-based Approach for Short Text Clustering.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623715
(Züfle et al., 2014) ⇒ Andreas Züfle, Tobias Emrich, Klaus Arthur Schmid, Nikos Mamoulis, Arthur Zimek, and Matthias Renz. (2014). “Representative Clustering of Uncertain Data.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623725
(Günnemann et al., 2014) ⇒ Stephan Günnemann, Ines Färber, Matthias Rüdiger, and Thomas Seidl. (2014). “SMVC: Semi-supervised Multi-view Clustering in Subspace Projections.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623734
(Prabhu & Varma, 2014) ⇒ Yashoteja Prabhu, and Manik Varma. (2014). “FastXML: A Fast, Accurate and Stable Tree-classifier for Extreme Multi-label Learning.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623651
(Zhai et al., 2014) ⇒ Shaodan Zhai, Tian Xia, and Shaojun Wang. (2014). “A Multi-class Boosting Method with Direct Optimization.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623689
(Liu et al., 2014) ⇒ Yashu Liu, Jie Wang, and Jieping Ye. (2014). “An Efficient Algorithm for Weak Hierarchical Lasso.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623665
(Sahoo et al., 2014) ⇒ Doyen Sahoo, Steven C.H. Hoi, and Bin Li. (2014). “Online Multiple Kernel Regression.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623712
(Xie et al., 2014) ⇒ Sihong Xie, Jing Gao, Wei Fan, Deepak Turaga, and Philip S. Yu. (2014). “Class-distribution Regularized Consensus Maximization for Alleviating Overfitting in Model Combination.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623676
(Zhang & Zhou, 2014) ⇒ Teng Zhang, and Zhi-Hua Zhou. (2014). “Large Margin Distribution Machine.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623710
(Qian et al., 2014) ⇒ Qi Qian, Juhua Hu, Rong Jin, Jian Pei, and Shenghuo Zhu. (2014). “Distance Metric Learning Using Dropout: A Structured Regularization Approach.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623678
(Goh & Rudin, 2014) ⇒ Siong Thye Goh, and Cynthia Rudin. (2014). “Box Drawings for Learning with Imbalanced Data.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623648
(Tsai et al., 2014) ⇒ Cheng-Hao Tsai, Chieh-Yen Lin, and Chih-Jen Lin. (2014). “Incremental and Decremental Training for Linear Classification.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623661
(Zhang et al., 2014) ⇒ Junbo Zhang, Guangjian Tian, Yadong Mu, and Wei Fan. (2014). “Supervised Deep Learning with Auxiliary Networks.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623618
(Babaie et al., 2014) ⇒ Tahereh Babaie, Sanjay Chawla, and Romesh Abeysuriya. (2014). “Sleep Analytics and Online Selective Anomaly Detection.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623699
(Yu et al., 2014) ⇒ Rose Yu, Xinran He, and Yan Liu. (2014). “GLAD: Group Anomaly Detection in Social Media Analysis.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623719
(Cheng et al., 2014) ⇒ Dehua Cheng, Mohammad Taha Bahadori, and Yan Liu. (2014). “FBLG: A Simple and Effective Approach for Temporal Dependence Discovery from Time Series Data.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623709
(Grabocka et al., 2014) ⇒ Josif Grabocka, Nicolas Schilling, Martin Wistuba, and Lars Schmidt-Thieme. (2014). “Learning Time-series Shapelets.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623613
(Ghalwash et al., 2014) ⇒ Mohamed F. Ghalwash, Vladan Radosavljevic, and Zoran Obradovic. (2014). “Utilizing Temporal Patterns for Estimating Uncertainty in Interpretable Early Decision Making.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623694
(Shao et al., 2014) ⇒ Junming Shao, Zahra Ahmadi, and Stefan Kramer. (2014). “Prototype-based Learning on Concept-drifting Data Streams.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623609
(Yu et al., 2014) ⇒ Yanwei Yu, Lei Cao, Elke A. Rundensteiner, and Qin Wang. (2014). “Detecting Moving Object Outliers in Massive-scale Trajectory Streams.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623735
(Aggarwal, 2014) ⇒ Charu C. Aggarwal. (2014). “The Setwise Stream Classification Problem.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623751
(Ting, 2014) ⇒ Daniel Ting. (2014). “Streamed Approximate Counting of Distinct Elements: Beating Optimal Batch Methods.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623669
(Lan et al., 2014) ⇒ Andrew S. Lan, Christoph Studer, and Richard G. Baraniuk. (2014). “Time-varying Learning and Content Analytics via Sparse Factor Analysis.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623631
(Kushnir, 2014) ⇒ Dan Kushnir. (2014). “Active-transductive Learning with Label-adapted Kernels.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623673
(Vasisht et al., 2014) ⇒ Deepak Vasisht, Andreas Damianou, Manik Varma, and Ashish Kapoor. (2014). “Active Learning for Sparse Bayesian Multilabel Classification.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623759
(Wang et al., 2014) ⇒ De Wang, Feiping Nie, and Heng Huang. (2014). “Large-scale Adaptive Semi-supervised Learning via Unified Inductive and Transductive Model.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623731
(Gadde et al., 2014) ⇒ Akshay Gadde, Aamir Anis, and Antonio Ortega. (2014). “Active Semi-supervised Learning Using Sampling Theory for Graph Signals.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623760
(Wang et al., 2014) ⇒ Jialei Wang, Nathan Srebro, and James Evans. (2014). “Active Collaborative Permutation Learning.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623730
(Nguyen et al., 2014) ⇒ Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, and James Bailey. (2014). “Effective Global Approaches for Mutual Information based Feature Selection.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623611
(Xu et al., 2014) ⇒ Zhixiang Xu, Gao Huang, Kilian Q. Weinberger, and Alice X. Zheng. (2014). “Gradient Boosted Feature Selection.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623635
(Xiang et al., 2014) ⇒ Shuo Xiang, Tao Yang, and Jieping Ye. (2014). “Simultaneous Feature and Feature Group Selection through Hard Thresholding.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623662
(Zhao et al., 2014) ⇒ Zheng Zhao, Jun Liu, and James Cox. (2014). “Safe and Efficient Screening for Sparse Support Vector Machine.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623686
(Purushotham et al., 2014) ⇒ Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo, and Rachel Ostroff. (2014). “Factorized Sparse Learning Models with Interpretable High Order Feature Interactions.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623747
(Cheng & Liu, 2014) ⇒ Dehua Cheng, and Yan Liu. (2014). “Parallel Gibbs Sampling for Hierarchical Dirichlet Processes via Gamma Processes Equivalence.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623708
(Dasu et al., 2014) ⇒ Tamraparni Dasu, Ji Meng Loh, and Divesh Srivastava. (2014). “Empirical Glitch Explanations.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623716
(Yang & He, 2014) ⇒ Hongxia Yang, and Jingrui He. (2014). “Learning with Dual Heterogeneity: A Nonparametric Bayes Model.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623727
(Liu et al., 2014) ⇒ Chien-Liang Liu, Tsung-Hsun Tsai, and Chia-Hoang Lee. (2014). “Online Chinese Restaurant Process.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623636
(Dong et al., 2014) ⇒ Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, and Wei Zhang. (2014). “Knowledge Vault: A Web-scale Approach to Probabilistic Knowledge Fusion.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623623
(Wang et al., 2014) ⇒ Shusen Wang, Chao Zhang, Hui Qian, and Zhihua Zhang. (2014). “Improving the Modified Nyström Method Using Spectral Shifting.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623614
(Chen et al., 2014) ⇒ Wenlin Chen, Yixin Chen, and Kilian Q. Weinberger. (2014). “Fast Flux Discriminant for Large-scale Sparse Nonlinear Classification.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623627
(Tang & Li, 2014) ⇒ Mingwang Tang, and Feifei Li. (2014). “Scalable Histograms on Large Probabilistic Data.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623640
(Chierichetti et al., 2014) ⇒ Flavio Chierichetti, Nilesh Dalvi, and Ravi Kumar. (2014). “Correlation Clustering in MapReduce.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623743
(Anagnostopoulos & Triantafillou, 2014) ⇒ Christos Anagnostopoulos, and Peter Triantafillou. (2014). “Scaling Out Big Data Missing Value Imputations: Pythia Vs. Godzilla.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623615
(Li et al., 2014) ⇒ Mu Li, Tong Zhang, Yuqiang Chen, and Alexander J. Smola. (2014). “Efficient Mini-batch Training for Stochastic Optimization.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623612
(Badanidiyuru et al., 2014) ⇒ Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi, and Andreas Krause. (2014). “Streaming Submodular Maximization: Massive Data Summarization on the Fly.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623637
(Cohen, 2014) ⇒ Edith Cohen. (2014). “Distance Queries from Sampled Data: Accurate and Efficient.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623680
(Li et al., 2014) ⇒ Yi Li, Zhengyu Wang, and David P. Woodruff. (2014). “Improved Testing of Low Rank Matrices.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623736
(Perozzi et al., 2014) ⇒ Bryan Perozzi, Rami Al-Rfou, and Steven Skiena. (2014). “DeepWalk: Online Learning of Social Representations.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623732
(Sarawagi & Chakrabarti, 2014) ⇒ Sunita Sarawagi, and Soumen Chakrabarti. (2014). “Open-domain Quantity Queries on Web Tables: Annotation, Response, and Consensus Models.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623749
(Wu et al., 2014) ⇒ Bin Wu, Erheng Zhong, Ben Tan, Andrew Horner, and Qiang Yang. (2014). “Crowdsourced Time-sync Video Tagging Using Temporal and Personalized Topic Modeling.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623625
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