KDD-2013 Proceedings

A KDD-2013 Proceedings is a KDD conference proceedings produced by KDD-2013.

• AKA: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
• Context:
  • It can contain KDD-2013 Papers.
  • It is associated with KDD-2013 Annotated Abstracts (and KDD-2013 Abstracts Analysis).
  • It can be associated with a KDD-2013 Citations Analysis Report.
  • …
• Counter-Example(s):
  • KDD-2014 Proceedings.
  • KDD-2012 Proceedings.
• See: ACM Digital Library.

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References

• ACM DL Proceedings Page: http://dl.acm.org/citation.cfm?id=2487575&preflayout=flat
• DBLP Proceedings Page http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2013.html

2013

• (Tang et al., 2013) ⇒ Jian Tang, Ming Zhang, and Qiaozhu Mei. (2013). “One Theme in all Views: Modeling Consensus Topics in Multiple Contexts.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487682
• (El-Arini et al., 2013) ⇒ Khalid El-Arini, Min Xu, Emily B. Fox, and Carlos Guestrin. (2013). “Representing Documents through their Readers.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487596
• (Bache et al., 2013) ⇒ Kevin Bache, David Newman, and Padhraic Smyth. (2013). “Text-based Measures of Document Diversity.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487672
• (Abbassi et al., 2013) ⇒ Zeinab Abbassi, Vahab S. Mirrokni, and Mayur Thakur. (2013). “Diversity Maximization under Matroid Constraints.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487636
• (Zafarani & Liu, 2013) ⇒ Reza Zafarani, and Huan Liu. (2013). “Connecting Users Across Social Media Sites: A Behavioral-modeling Approach.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487648
• (Štajner et al., 2013) ⇒ Tadej Štajner, Bart Thomee, Ana-Maria Popescu, Marco Pennacchiotti, and Alejandro Jaimes. (2013). “Automatic Selection of Social Media Responses to News.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487659
• (Yang et al., 2013) ⇒ Jaewon Yang, Bee-Chung Chen, and Deepak Agarwal. (2013). “Estimating Sharer Reputation via Social Data Calibration.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487685
• (Shen et al., 2013) ⇒ Wei Shen, Jianyong Wang, Ping Luo, and Min Wang. (2013). “Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487686
• (Han et al., 2013) ⇒ Wook-Shin Han, Sangyeon Lee, Kyungyeol Park, Jeong-Hoon Lee, Min-Soo Kim, Jinha Kim, and Hwanjo Yu. (2013). “TurboGraph: A Fast Parallel Graph Engine Handling Billion-scale Graphs in a Single PC.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487581
• (Raman et al., 2013) ⇒ Karthik Raman, Adith Swaminathan, Johannes Gehrke, and Thorsten Joachims. (2013). “Beyond Myopic Inference in Big Data Pipelines.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487588
• (Canny & Zhao, 2013) ⇒ John Canny, and Huasha Zhao. (2013). “Big Data Analytics with Small Footprint: Squaring the Cloud.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487677
• (Tsourakakis et al., 2013) ⇒ Charalampos Tsourakakis, Francesco Bonchi, Aristides Gionis, Francesco Gullo, and Maria Tsiarli. (2013). “Denser Than the Densest Subgraph: Extracting Optimal Quasi-cliques with Quality Guarantees.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487645
• (Gilpin et al., 2013) ⇒ Sean Gilpin, Tina Eliassi-Rad, and Ian Davidson. (2013). “Guided Learning for Role Discovery (GLRD): Framework, Algorithms, and Applications.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487620
• (Wang et al., 2013) ⇒ Jia Wang, James Cheng, and Ada Wai-Chee Fu. (2013). “Redundancy-aware Maximal Cliques.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487689
• (Gu et al., 2013) ⇒ Quanquan Gu, Charu Aggarwal, Jialu Liu, and Jiawei Han. (2013). “Selective Sampling on Graphs for Classification.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487641
• (Chen et al., 2013) ⇒ Wenlin Chen, Yixin Chen, Yi Mao, and Baolong Guo. (2013). “Density-based Logistic Regression.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487583
• (Zhang et al., 2013) ⇒ Dan Zhang, Jingrui He, and Richard Lawrence. (2013). “MI2LS: Multi-instance Learning from Multiple Informationsources.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487651
• (Wang & Ye, 2013) ⇒ Zheng Wang, and Jieping Ye. (2013). “Querying Discriminative and Representative Samples for Batch Mode Active Learning.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487643
• (Narasimhan & Agarwal, 2013) ⇒ Harikrishna Narasimhan, and Shivani Agarwal. (2013). “SVM PAUC Tight : A New Support Vector Method for Optimizing Partial AUC based on a Tight Convex Upper Bound.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487674
• (Tabei et al., 2013) ⇒ Yasuo Tabei, Akihiro Kishimoto, Masaaki Kotera, and Yoshihiro Yamanishi. (2013). “Succinct Interval-splitting Tree for Scalable Similarity Search of Compound-protein Pairs with Property Constraints.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487637
• (Xiang et al., 2013) ⇒ Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, and Jieping Ye. (2013). “Multi-source Learning with Block-wise Missing Data for Alzheimer's Disease Prediction.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487594
• (Davidson et al., 2013) ⇒ Ian Davidson, Sean Gilpin, Owen Carmichael, and Peter Walker. (2013). “Network Discovery via Constrained Tensor Analysis of FMRI Data.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487619
• (Das et al., 2013) ⇒ Mahashweta Das, Gianmarco De Francisci Morales, Aristides Gionis, and Ingmar Weber. (2013). “Learning to Question: Leveraging User Preferences for Shopping Advice.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487653
• (Sutherland et al., 2013) ⇒ Dougal J. Sutherland, Barnabás Póczos, and Jeff Schneider. (2013). “Active Learning and Search on Low-rank Matrices.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487627
• (Yin et al., 2013) ⇒ Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, and Ling Chen. (2013). “LCARS: A Location-content-aware Recommender System.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487608
• (Ou et al., 2013) ⇒ Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, and Shiqiang Yang. (2013). “Comparing Apples to Oranges: A Scalable Solution with Heterogeneous Hashing.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487668
• (Pham & Pagh, 2013) ⇒ Ninh Pham, and Rasmus Pagh. (2013). “Fast and Scalable Polynomial Kernels via Explicit Feature Maps.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487591
• (Yen et al., 2013) ⇒ Ian En-Hsu Yen, Chun-Fu Chang, Ting-Wei Lin, Shan-Wei Lin, and Shou-De Lin. (2013). “Indexed Block Coordinate Descent for Large-scale Linear Classification with Limited Memory.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487626
• (Gopal & Yang, 2013) ⇒ Siddharth Gopal, and Yiming Yang. (2013). “Recursive Regularization for Large-scale Classification with Hierarchical and Graphical Dependencies.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487644
• (Iwata et al., 2013) ⇒ Tomoharu Iwata, Amar Shah, and Zoubin Ghahramani. (2013). “Discovering Latent Influence in Online Social Activities via Shared Cascade Poisson Processes.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487624
• (Kutzkov et al., 2013) ⇒ Konstantin Kutzkov, Albert Bifet, Francesco Bonchi, and Aristides Gionis. (2013). “STRIP: Stream Learning of Influence Probabilities.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487657
• (Bahadori et al., 2013) ⇒ Mohammad Taha Bahadori, Yan Liu, and Eric P. Xing. (2013). “Fast Structure Learning in Generalized Stochastic Processes with Latent Factors.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487578
• (Lozano et al., 2013) ⇒ Aurelie C. Lozano, Huijing Jiang, and Xinwei Deng. (2013). “Robust Sparse Estimation of Multiresponse Regression and Inverse Covariance Matrix via the L2 Distance.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487667
• (Li & Zhang, 2013) ⇒ Ping Li, and Cun-Hui Zhang. (2013). “Exact Sparse Recovery with L0 Projections.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487694
• (Sun et al., 2013) ⇒ Qian Sun, Shuo Xiang, and Jieping Ye. (2013). “Robust Principal Component Analysis via Capped Norms.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487604
• (Cheng et al., 2013) ⇒ Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, and Wei Wang. (2013). “Flexible and Robust Co-regularized Multi-domain Graph Clustering.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487582
• (Ugander et al., 2013) ⇒ Johan Ugander, Brian Karrer, Lars Backstrom, and Jon Kleinberg. (2013). “Graph Cluster Randomization: Network Exposure to Multiple Universes.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487695
• (Zhou & Liu, 2013) ⇒ Yang Zhou, and Ling Liu. (2013). “Social Influence based Clustering of Heterogeneous Information Networks.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487640
• (Tang et al., 2013) ⇒ Jie Tang, Sen Wu, and Jimeng Sun. (2013). “Confluence: Conformity Influence in Large Social Networks.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487691
• (Weng et al., 2013) ⇒ Lilian Weng, Jacob Ratkiewicz, Nicola Perra, Bruno Gonçalves, Carlos Castillo, Francesco Bonchi, Rossano Schifanella, Filippo Menczer, and Alessandro Flammini. (2013). “The Role of Information Diffusion in the Evolution of Social Networks.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487607
• (Eftekhar et al., 2013) ⇒ Milad Eftekhar, Yashar Ganjali, and Nick Koudas. (2013). “Information Cascade at Group Scale.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487683
• (Lin et al., 2013) ⇒ Shuyang Lin, Fengjiao Wang, Qingbo Hu, and Philip S. Yu. (2013). “Extracting Social Events for Learning Better Information Diffusion Models.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487584
• (Hallak et al., 2013) ⇒ Assaf Hallak, Dotan Di-Castro, and Shie Mannor. (2013). “Model Selection in Markovian Processes.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487613
• (Chen et al., 2013) ⇒ Yanping Chen, Bing Hu, Eamonn Keogh, and Gustavo E.A.P.A Batista. (2013). “DTW-D: Time Series Semi-supervised Learning from a Single Example.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487633
• (Chen et al., 2013) ⇒ Huanhuan Chen, Fengzhen Tang, Peter Tino, and Xin Yao. (2013). “Model-based Kernel for Efficient Time Series Analysis.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487700
• (Tang et al., 2013) ⇒ Lu-An Tang, Xiao Yu, Quanquan Gu, Jiawei Han, Alice Leung, and Thomas La Porta. (2013). “Mining Lines in the Sand: On Trajectory Discovery from Untrustworthy Data in Cyber-physical System.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487585
• (Kleiner et al., 2013) ⇒ Ariel Kleiner, Ameet Talwalkar, Sameer Agarwal, Ion Stoica, and Michael I. Jordan. (2013). “A General Bootstrap Performance Diagnostic.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487650
• (Zimek et al., 2013) ⇒ Arthur Zimek, Matthew Gaudet, Ricardo J.G.B. Campello, and Jörg Sander. (2013). “Subsampling for Efficient and Effective Unsupervised Outlier Detection Ensembles.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487676
• (Wang et al., 2013) ⇒ Chi Wang, Marina Danilevsky, Nihit Desai, Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, and Jiawei Han. (2013). “A Phrase Mining Framework for Recursive Construction of a Topical Hierarchy.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487631
• (Foulds et al., 2013) ⇒ James Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, and Max Welling. (2013). “Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487697
• (Cao et al., 2013) ⇒ Caleb Chen Cao, Yongxin Tong, Lei Chen, and H. V. Jagadish. (2013). “WiseMarket: A New Paradigm for Managing Wisdom of Online Social Users.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487642
• (Wang & Sukthankar, 2013) ⇒ Xi Wang, and Gita Sukthankar. (2013). “Multi-label Relational Neighbor Classification Using Social Context Features.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487610
• (Zhu et al., 2013) ⇒ Yaojia Zhu, Xiaoran Yan, Lise Getoor, and Cristopher Moore. (2013). “Scalable Text and Link Analysis with Mixed-topic Link Models.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487693
• (Song et al., 2013) ⇒ Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, and Qiang Yang. (2013). “Collaborative Boosting for Activity Classification in Microblogs.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487661
• (Abrahao et al., 2013) ⇒ Bruno Abrahao, Flavio Chierichetti, Robert Kleinberg, and Alessandro Panconesi. (2013). “Trace Complexity of Network Inference.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487664
• (Das et al., 2013) ⇒ Abhimanyu Das, Sreenivas Gollapudi, Rina Panigrahy, and Mahyar Salek. (2013). “Debiasing Social Wisdom.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487684
• (Ranu et al., 2013) ⇒ Sayan Ranu, Minh Hoang, and Ambuj Singh. (2013). “Mining Discriminative Subgraphs from Global-state Networks.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487692
• (Anchuri et al., 2013) ⇒ Pranay Anchuri, Mohammed J. Zaki, Omer Barkol, Shahar Golan, and Moshe Shamy. (2013). “Approximate Graph Mining with Label Costs.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487602
• (Liu et al., 2013) ⇒ Chunyang Liu, Ling Chen, and Chengqi Zhang. (2013). “Summarizing Probabilistic Frequent Patterns: A Fast Approach.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487618
• (Wu et al., 2013) ⇒ Cheng-Wei Wu, Yu-Feng Lin, Philip S. Yu, and Vincent S. Tseng. (2013). “Mining High Utility Episodes in Complex Event Sequences.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487654
• (Shen & Yu, 2013) ⇒ Entong Shen, and Ting Yu. (2013). “Mining Frequent Graph Patterns with Differential Privacy.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487601
• (Baba & Kashima, 2013) ⇒ Yukino Baba, and Hisashi Kashima. (2013). “Statistical Quality Estimation for General Crowdsourcing Tasks.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487600
• (Wang et al., 2013) ⇒ Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, and Tie-Yan Liu. (2013). “Psychological Advertising: Exploring User Psychology for Click Prediction in Sponsored Search.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487699
• (Lacoste-Julien et al., 2013) ⇒ Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, and Zoubin Ghahramani. (2013). “SIGMa: Simple Greedy Matching for Aligning Large Knowledge Bases.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487592
• (Liberty, 2013) ⇒ Edo Liberty. (2013). “Simple and Deterministic Matrix Sketching.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487623
• (Jha et al., 2013) ⇒ Madhav Jha, C. Seshadhri, and Ali Pinar. (2013). “A Space Efficient Streaming Algorithm for Triangle Counting Using the Birthday Paradox.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487678
• (Yuan et al., 2013) ⇒ Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, and Nadia Magnenat- Thalmann. (2013). “Who, Where, When and What: Discover Spatio-temporal Topics for Twitter Users.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487576
• (Kong et al., 2013) ⇒ Xiangnan Kong, Bokai Cao, and Philip S. Yu. (2013). “Multi-label Classification by Mining Label and Instance Correlations from Heterogeneous Information Networks.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487577
• (Lou et al., 2013) ⇒ Yin Lou, Rich Caruana, Johannes Gehrke, and Giles Hooker. (2013). “Accurate Intelligible Models with Pairwise Interactions.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487579
• (Mukherjee et al., 2013) ⇒ Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malu Castellanos, and Riddhiman Ghosh. (2013). “Spotting Opinion Spammers Using Behavioral Footprints.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487580
• (Yang et al., 2013) ⇒ Sen Yang, Jie Wang, Wei Fan, Xiatian Zhang, Peter Wonka, and Jieping Ye. (2013). “An Efficient ADMM Algorithm for Multidimensional Anisotropic Total Variation Regularization Problems.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487586
• (Chakrabarti & Herbrich, 2013) ⇒ Deepayan Chakrabarti, and Ralf Herbrich. (2013). “Speeding Up Large-scale Learning with a Social Prior.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487587
• (Kabbur et al., 2013) ⇒ Santosh Kabbur, Xia Ning, and George Karypis. (2013). “FISM: Factored Item Similarity Models for Top-N Recommender Systems.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487589
• (Nagano et al., 2013) ⇒ Shouichi Nagano, Yusuke Ichikawa, Noriko Takaya, Tadasu Uchiyama, and Makoto Abe. (2013). “Nonparametric Hierarchal Bayesian Modeling in Non-contractual Heterogeneous Survival Data.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487590
• (Mo et al., 2013) ⇒ Kaixiang Mo, Erheng Zhong, and Qiang Yang. (2013). “Cross-task Crowdsourcing.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487593
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