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ORCID19th KDD 2013: Chicago, IL, USA
- Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, Ramasamy Uthurusamy:
The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013. ACM 2013, ISBN 978-1-4503-2174-7
Keynotes
- Raghu Ramakrishnan:
Scale-out beyond map-reduce. 1 - Andrew Y. Ng, Daphne Koller:
The online revolution: education for everyone. 2 - Stephen J. Wright:
Optimization in learning and data analysis. 3 - Hal R. Varian:
Predicting the present with search engine data. 4
Document and topic models
- Jian Tang, Ming Zhang, Qiaozhu Mei:
One theme in all views: modeling consensus topics in multiple contexts. 5-13 - Khalid El-Arini, Min Xu, Emily B. Fox, Carlos Guestrin:
Representing documents through their readers. 14-22 - Kevin Bache, David Newman, Padhraic Smyth
:
Text-based measures of document diversity. 23-31 - Zeinab Abbassi, Vahab S. Mirrokni, Mayur Thakur:
Diversity maximization under matroid constraints. 32-40
Social media
- Reza Zafarani, Huan Liu:
Connecting users across social media sites: a behavioral-modeling approach. 41-49 - Tadej Stajner, Bart Thomee, Ana-Maria Popescu, Marco Pennacchiotti, Alejandro Jaimes:
Automatic selection of social media responses to news. 50-58 - Jaewon Yang, Bee-Chung Chen, Deepak Agarwal:
Estimating sharer reputation via social data calibration. 59-67 - Wei Shen, Jianyong Wang, Ping Luo, Min Wang:
Linking named entities in Tweets with knowledge base via user interest modeling. 68-76
Big data frameworks
- Wook-Shin Han, Sangyeon Lee, Kyungyeol Park, Jeong-Hoon Lee, Min-Soo Kim, Jinha Kim, Hwanjo Yu:
TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC. 77-85 - Karthik Raman, Adith Swaminathan, Johannes Gehrke, Thorsten Joachims:
Beyond myopic inference in big data pipelines. 86-94 - John F. Canny, Huasha Zhao:
Big data analytics with small footprint: squaring the cloud. 95-103
Graph mining
- Charalampos E. Tsourakakis, Francesco Bonchi, Aristides Gionis, Francesco Gullo, Maria A. Tsiarli:
Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees. 104-112 - Sean Gilpin, Tina Eliassi-Rad, Ian N. Davidson:
Guided learning for role discovery (GLRD): framework, algorithms, and applications. 113-121 - Jia Wang, James Cheng, Ada Wai-Chee Fu:
Redundancy-aware maximal cliques. 122-130 - Quanquan Gu, Charu C. Aggarwal, Jialu Liu, Jiawei Han:
Selective sampling on graphs for classification. 131-139
Classification
- Wenlin Chen, Yixin Chen, Yi Mao, Baolong Guo:
Density-based logistic regression. 140-148 - Dan Zhang, Jingrui He, Richard D. Lawrence:
MI2LS: multi-instance learning from multiple informationsources. 149-157 - Zheng Wang, Jieping Ye:
Querying discriminative and representative samples for batch mode active learning. 158-166 - Harikrishna Narasimhan, Shivani Agarwal:
SVMpAUCtight: a new support vector method for optimizing partial AUC based on a tight convex upper bound. 167-175
Healthcare and bioinformatics
- Yasuo Tabei, Akihiro Kishimoto, Masaaki Kotera, Yoshihiro Yamanishi:
Succinct interval-splitting tree for scalable similarity search of compound-protein pairs with property constraints. 176-184 - Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye:
Multi-source learning with block-wise missing data for Alzheimer's disease prediction. 185-193 - Ian N. Davidson, Sean Gilpin, Owen T. Carmichael, Peter B. Walker:
Network discovery via constrained tensor analysis of fMRI data. 194-202
Recommender systems
- Mahashweta Das, Gianmarco De Francisci Morales, Aristides Gionis, Ingmar Weber:
Learning to question: leveraging user preferences for shopping advice. 203-211 - Danica J. Sutherland, Barnabás Póczos, Jeff G. Schneider:
Active learning and search on low-rank matrices. 212-220 - Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen:
LCARS: a location-content-aware recommender system. 221-229
Scalable methods for big data
- Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang:
Comparing apples to oranges: a scalable solution with heterogeneous hashing. 230-238 - Ninh Pham, Rasmus Pagh:
Fast and scalable polynomial kernels via explicit feature maps. 239-247 - Ian En-Hsu Yen, Chun-Fu Chang, Ting-Wei Lin, Shan-Wei Lin, Shou-De Lin:
Indexed block coordinate descent for large-scale linear classification with limited memory. 248-256 - Siddharth Gopal, Yiming Yang:
Recursive regularization for large-scale classification with hierarchical and graphical dependencies. 257-265
Temporal/social influence
- Tomoharu Iwata, Amar Shah, Zoubin Ghahramani:
Discovering latent influence in online social activities via shared cascade poisson processes. 266-274 - Konstantin Kutzkov, Albert Bifet, Francesco Bonchi, Aristides Gionis:
STRIP: stream learning of influence probabilities. 275-283 - Mohammad Taha Bahadori, Yan Liu, Eric P. Xing:
Fast structure learning in generalized stochastic processes with latent factors. 284-292
Sparse learning
- Aurélie C. Lozano, Huijing Jiang, Xinwei Deng:
Robust sparse estimation of multiresponse regression and inverse covariance matrix via the L2 distance. 293-301 - Ping Li, Cun-Hui Zhang:
Exact sparse recovery with L0 projections. 302-310 - Qian Sun, Shuo Xiang, Jieping Ye:
Robust principal component analysis via capped norms. 311-319
Graph clustering
- Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, Wei Wang:
Flexible and robust co-regularized multi-domain graph clustering. 320-328 - Johan Ugander, Brian Karrer, Lars Backstrom, Jon M. Kleinberg:
Graph cluster randomization: network exposure to multiple universes. 329-337 - Yang Zhou, Ling Liu:
Social influence based clustering of heterogeneous information networks. 338-346
Diffusion in social networks
- Jie Tang, Sen Wu, Jimeng Sun:
Confluence: conformity influence in large social networks. 347-355 - Lilian Weng, Jacob Ratkiewicz, Nicola Perra, Bruno Gonçalves, Carlos Castillo, Francesco Bonchi, Rossano Schifanella, Filippo Menczer, Alessandro Flammini:
The role of information diffusion in the evolution of social networks. 356-364 - Shuyang Lin, Fengjiao Wang, Qingbo Hu, Philip S. Yu:
Extracting social events for learning better information diffusion models. 365-373
Time series and spatial data
- Assaf Hallak, Dotan Di Castro, Shie Mannor:
Model selection in markovian processes. 374-382 - Yanping Chen, Bing Hu, Eamonn J. Keogh, Gustavo E. A. P. A. Batista:
DTW-D: time series semi-supervised learning from a single example. 383-391 - Huanhuan Chen, Fengzhen Tang, Peter Tiño, Xin Yao:
Model-based kernel for efficient time series analysis. 392-400
Diffusion in social networks
- Milad Eftekhar, Yashar Ganjali, Nick Koudas:
Information cascade at group scale. 401-409
Time series and spatial data
- Lu-An Tang, Xiao Yu, Quanquan Gu, Jiawei Han, Alice Leung, Thomas La Porta:
Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system. 410-418
Unsupervised and topic learning
- Ariel Kleiner, Ameet Talwalkar, Sameer Agarwal, Ion Stoica, Michael I. Jordan:
A general bootstrap performance diagnostic. 419-427 - Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jörg Sander:
Subsampling for efficient and effective unsupervised outlier detection ensembles. 428-436 - Chi Wang, Marina Danilevsky, Nihit Desai, Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, Jiawei Han:
A phrase mining framework for recursive construction of a topical hierarchy. 437-445 - James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling:
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. 446-454
Social and information networks
- Caleb Chen Cao, Yongxin Tong, Lei Chen, H. V. Jagadish:
WiseMarket: a new paradigm for managing wisdom of online social users. 455-463 - Xi Wang, Gita Sukthankar:
Multi-label relational neighbor classification using social context features. 464-472 - Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore:
Scalable text and link analysis with mixed-topic link models. 473-481 - Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, Qiang Yang:
Collaborative boosting for activity classification in microblogs. 482-490
Graph mining and sampling
- Bruno D. Abrahao, Flavio Chierichetti, Robert Kleinberg, Alessandro Panconesi:
Trace complexity of network inference. 491-499 - Abhimanyu Das, Sreenivas Gollapudi, Rina Panigrahy, Mahyar Salek:
Debiasing social wisdom. 500-508 - Sayan Ranu, Minh X. Hoang, Ambuj K. Singh:
Mining discriminative subgraphs from global-state networks. 509-517 - Pranay Anchuri, Mohammed J. Zaki, Omer Barkol, Shahar Golan, Moshe Shamy:
Approximate graph mining with label costs. 518-526
Rule and pattern mining
- Chunyang Liu, Ling Chen, Chengqi Zhang:
Summarizing probabilistic frequent patterns: a fast approach. 527-535 - Cheng-Wei Wu, Yu-Feng Lin, Philip S. Yu, Vincent S. Tseng:
Mining high utility episodes in complex event sequences. 536-544 - Entong Shen, Ting Yu:
Mining frequent graph patterns with differential privacy. 545-553
Web mining
- Yukino Baba, Hisashi Kashima:
Statistical quality estimation for general crowdsourcing tasks. 554-562 - Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, Tie-Yan Liu:
Psychological advertising: exploring user psychology for click prediction in sponsored search. 563-571 - Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani:
SIGMa: simple greedy matching for aligning large knowledge bases. 572-580
Best paper session
- Edo Liberty:
Simple and deterministic matrix sketching. 581-588 - Madhav Jha, C. Seshadhri, Ali Pinar:
A space efficient streaming algorithm for triangle counting using the birthday paradox. 589-597
Research poster session
- Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, Nadia Magnenat-Thalmann:
Who, where, when and what: discover spatio-temporal topics for twitter users. 605-613 - Xiangnan Kong, Bokai Cao, Philip S. Yu:
Multi-label classification by mining label and instance correlations from heterogeneous information networks. 614-622 - Yin Lou, Rich Caruana, Johannes Gehrke, Giles Hooker:
Accurate intelligible models with pairwise interactions. 623-631 - Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Spotting opinion spammers using behavioral footprints. 632-640 - Sen Yang, Jie Wang, Wei Fan, Xiatian Zhang, Peter Wonka, Jieping Ye:
An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems. 641-649 - Deepayan Chakrabarti, Ralf Herbrich:
Speeding up large-scale learning with a social prior. 650-658 - Santosh Kabbur, Xia Ning, George Karypis:
FISM: factored item similarity models for top-N recommender systems. 659-667 - Shouichi Nagano, Yusuke Ichikawa, Noriko Takaya, Tadasu Uchiyama, Makoto Abe:
Nonparametric hierarchal bayesian modeling in non-contractual heterogeneous survival data. 668-676 - Kaixiang Mo, Erheng Zhong, Qiang Yang:
Cross-task crowdsourcing. 677-685 - Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran:
Evaluating the crowd with confidence. 686-694 - Yuchen Zhao, Guan Wang, Philip S. Yu, Shaobo Liu, Simon Zhang:
Inferring social roles and statuses in social networks. 695-703 - Siyuan Liu, Yisong Yue, Ramayya Krishnan:
Adaptive collective routing using gaussian process dynamic congestion models. 704-712 - De-Nian Yang, Hui-Ju Hung, Wang-Chien Lee, Wei Chen:
Maximizing acceptance probability for active friending in online social networks. 713-721 - Xiting Wang, Shixia Liu, Yangqiu Song, Baining Guo:
Mining evolutionary multi-branch trees from text streams. 722-730 - Xuezhi Wang, Roman Garnett, Jeff G. Schneider:
Active search on graphs. 731-738 - Da Kuang, Haesun Park:
Fast rank-2 nonnegative matrix factorization for hierarchical document clustering. 739-747 - Jingbo Zhou, Anthony K. H. Tung, Wei Wu, Wee Siong Ng:
A "semi-lazy" approach to probabilistic path prediction. 748-756 - Lu Zheng, Ole J. Mengshoel:
Optimizing parallel belief propagation in junction treesusing regression. 757-765 - Liang Ge, Jing Gao, Xiaoyi Li, Aidong Zhang:
Multi-source deep learning for information trustworthiness estimation. 766-774 - Tsung-Ting Kuo, Rui Yan, Yu-Yang Huang, Perng-Hwa Kung, Shou-De Lin:
Unsupervised link prediction using aggregative statistics on heterogeneous social networks. 775-783 - Conrad Lee, Bobo Nick, Ulrik Brandes, Pádraig Cunningham:
Link prediction with social vector clocks. 784-792 - Dmytro Karamshuk, Anastasios Noulas, Salvatore Scellato, Vincenzo Nicosia, Cecilia Mascolo:
Geo-spotting: mining online location-based services for optimal retail store placement. 793-801 - Guoliang Li, Yang Wang, Ting Wang, Jianhua Feng:
Location-aware publish/subscribe. 802-810 - Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features. 811-819 - Dóra Erdös, Vatche Ishakian, Azer Bestavros, Evimaria Terzi:
Repetition-aware content placement in navigational networks. 820-828 - Ye Wang, Ahmed Metwally, Srinivasan Parthasarathy:
Scalable all-pairs similarity search in metric spaces. 829-837 - Muzaffer Can Altinigneli, Claudia Plant, Christian Böhm:
Massively parallel expectation maximization using graphics processing units. 838-846 - Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown:
Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms. 847-855 - Ming Tan, Tian Xia, Lily Guo, Shaojun Wang:
Direct optimization of ranking measures for learning to rank models. 856-864 - Shuo Chen, Jiexun Xu, Thorsten Joachims:
Multi-space probabilistic sequence modeling. 865-873 - Yuan Hao, Yanping Chen, Jesin Zakaria, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh:
Towards never-ending learning from time series streams. 874-882 - Yang Mu, Wei Ding, Tianyi Zhou, Dacheng Tao:
Constrained stochastic gradient descent for large-scale least squares problem. 883-891 - Wei Chen, Wynne Hsu, Mong-Li Lee:
Making recommendations from multiple domains. 892-900 - Peng Cui, Shifei Jin, Linyun Yu, Fei Wang, Wenwu Zhu, Shiqiang Yang:
Cascading outbreak prediction in networks: a data-driven approach. 901-909 - Wei Zhang, Jianyong Wang, Wei Feng:
Combining latent factor model with location features for event-based group recommendation. 910-918 - Peilin Zhao, Steven C. H. Hoi:
Cost-sensitive online active learning with application to malicious URL detection. 919-927 - Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan:
The bang for the buck: fair competitive viral marketing from the host perspective. 928-936 - Erheng Zhong, Wei Fan, Yin Zhu, Qiang Yang:
Modeling the dynamics of composite social networks. 937-945 - Goce Ristanoski, Wei Liu, James Bailey:
A time-dependent enhanced support vector machine for time series regression. 946-954 - Katja Niemann, Martin Wolpers:
A new collaborative filtering approach for increasing the aggregate diversity of recommender systems. 955-963 - Jun Zhu, Xun Zheng, Li Zhou, Bo Zhang:
Scalable inference in max-margin topic models. 964-972 - Gartheeban Ganeshapillai, John V. Guttag:
A data-driven method for in-game decision making in MLB: when to pull a starting pitcher. 973-979 - Xiao Bai, Flavio Paiva Junqueira, Srinivasan H. Sengamedu:
Exploiting user clicks for automatic seed set generation for entity matching. 980-988 - Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang:
Silence is also evidence: interpreting dwell time for recommendation from psychological perspective. 989-997 - Andy Diwen Zhu, Xiaokui Xiao, Sibo Wang, Wenqing Lin:
Efficient single-source shortest path and distance queries on large graphs. 998-1006 - Marek Ciglan, Michal Laclavik, Kjetil Nørvåg:
On community detection in real-world networks and the importance of degree assortativity. 1007-1015 - Xiaohui Bei, Ning Chen, Liyu Dou, Xiangru Huang, Ruixin Qiang:
Trial and error in influential social networks. 1016-1024 - Xiaodong Zheng, Hao Ding, Hiroshi Mamitsuka, Shanfeng Zhu:
Collaborative matrix factorization with multiple similarities for predicting drug-target interactions. 1025-1033 - Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye:
FeaFiner: biomarker identification from medical data through feature generalization and selection. 1034-1042 - Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong:
Learning geographical preferences for point-of-interest recommendation. 1043-1051 - Sebastián Moreno, Jennifer Neville, Sergey Kirshner:
Learning mixed kronecker product graph models with simulated method of moments. 1052-1060 - Komal Kapoor, Nisheeth Srivastava, Jaideep Srivastava, Paul R. Schrater:
Measuring spontaneous devaluations in user preferences. 1061-1069 - Yang Li, Chi Wang, Fangqiu Han, Jiawei Han, Dan Roth, Xifeng Yan:
Mining evidences for named entity disambiguation. 1070-1078 - Aaron Johnson, Vitaly Shmatikov:
Privacy-preserving data exploration in genome-wide association studies. 1079-1087