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21st KDD 2015: Sydney, NSW, Australia
- Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams:
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015. ACM 2015, ISBN 978-1-4503-3664-2
Keynote Talks
- Ron Kohavi:
Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 Years. 1 - Daphne Koller:
MOOCS: What Have We Learned? 3 - Susan Athey
:
Machine Learning and Causal Inference for Policy Evaluation. 5-6 - Hugh F. Durrant-Whyte:
Data, Knowledge and Discovery: Machine Learning meets Natural Science. 7
Research Paper Presentations (Part 1)
- Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling:
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. 9-18 - Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang:
TimeMachine: Timeline Generation for Knowledge-Base Entities. 19-28 - Laurent Amsaleg, Oussama Chelly
, Teddy Furon, Stéphane Girard
, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett:
Estimating Local Intrinsic Dimensionality. 29-38 - Émilien Antoine, Adam Jatowt
, Shoko Wakamiya, Yukiko Kawai, Toyokazu Akiyama:
Portraying Collective Spatial Attention in Twitter. 39-48 - Nurjahan Begum, Liudmila Ulanova, Jun Wang, Eamonn J. Keogh:
Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy. 49-58 - Albert Bifet
, Gianmarco De Francisci Morales
, Jesse Read, Geoff Holmes, Bernhard Pfahringer:
Efficient Online Evaluation of Big Data Stream Classifiers. 59-68 - Karla L. Caballero Barajas, Ram Akella:
Dynamically Modeling Patient's Health State from Electronic Medical Records: A Time Series Approach. 69-78 - Yongjie Cai, Hanghang Tong
, Wei Fan, Ping Ji, Qing He
:
Facets: Fast Comprehensive Mining of Coevolving High-order Time Series. 79-88 - Lei Cao
, Mingrui Wei, Di Yang, Elke A. Rundensteiner:
Online Outlier Exploration Over Large Datasets. 89-98 - Shayok Chakraborty, Vineeth Nallure Balasubramanian
, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye:
BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. 99-108 - Tanmoy Chakraborty
, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee:
On the Formation of Circles in Co-authorship Networks. 109-118 - Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi
, Charu C. Aggarwal, Thomas S. Huang:
Heterogeneous Network Embedding via Deep Architectures. 119-128 - Rui Chen, Qian Xiao
, Yu Zhang
, Jianliang Xu
:
Differentially Private High-Dimensional Data Publication via Sampling-Based Inference. 129-138 - Flavio Chierichetti, Alessandro Epasto
, Ravi Kumar, Silvio Lattanzi, Vahab S. Mirrokni:
Efficient Algorithms for Public-Private Social Networks. 139-148 - Bo-Yu Chu, Chia-Hua Ho, Cheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin:
Warm Start for Parameter Selection of Linear Classifiers. 149-158 - Edith Cohen:
Stream Sampling for Frequency Cap Statistics. 159-168 - Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina:
Adaptation Algorithm and Theory Based on Generalized Discrepancy. 169-178 - Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen:
Optimal Action Extraction for Random Forests and Boosted Trees. 179-188 - Robin Devooght, Nicolas Kourtellis, Amin Mantrach:
Dynamic Matrix Factorization with Priors on Unknown Values. 189-198 - Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla
, Bai Wang:
CoupledLP: Link Prediction in Coupled Networks. 199-208 - Liang Du
, Yi-Dong Shen:
Unsupervised Feature Selection with Adaptive Structure Learning. 209-218 - Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song:
Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams. 219-228 - Ethan R. Elenberg, Karthikeyan Shanmugam
, Michael Borokhovich, Alexandros G. Dimakis:
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs. 229-238 - Kai Fan, Marisa C. Eisenberg, Alison Walsh
, Allison Aiello, Katherine A. Heller:
Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data. 239-248 - Dan Feldman, Tamir Tassa:
More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big Data. 249-258 - Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian
:
Certifying and Removing Disparate Impact. 259-268 - Alceu Ferraz Costa, Yuto Yamaguchi, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos:
RSC: Mining and Modeling Temporal Activity in Social Media. 269-278 - Jeffrey Fisher, Peter Christen, Qing Wang
, Erhard Rahm
:
A Clustering-Based Framework to Control Block Sizes for Entity Resolution. 279-288 - Seth R. Flaxman, Yu-Xiang Wang, Alexander J. Smola:
Who Supported Obama in 2012?: Ecological Inference through Distribution Regression. 289-298 - Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu:
Real Estate Ranking via Mixed Land-use Latent Models. 299-308 - Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Yasutoshi Ida, Machiko Toyoda:
Adaptive Message Update for Fast Affinity Propagation. 309-318 - Moshe Gabel, Daniel Keren, Assaf Schuster:
Monitoring Least Squares Models of Distributed Streams. 319-328 - Matthias Gallé, Matías Tealdi:
Reconstructing Textual Documents from n-grams. 329-338 - Hongchang Gao, Lin Yan
, Weidong Cai
, Heng Huang:
Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning. 339-348 - Jinyang Gao, H. V. Jagadish, Beng Chin Ooi, Sheng Wang:
Selective Hashing: Closing the Gap between Radius Search and k-NN Search. 349-358 - David F. Gleich
, Michael W. Mahoney:
Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms. 359-368 - Jen J. Gong, Thoralf M. Sundt, James D. Rawn, John V. Guttag:
Instance Weighting for Patient-Specific Risk Stratification Models. 369-378 - Aditya Grover, Ashish Kapoor, Eric Horvitz:
A Deep Hybrid Model for Weather Forecasting. 379-386 - David Hallac, Jure Leskovec
, Stephen P. Boyd:
Network Lasso: Clustering and Optimization in Large Graphs. 387-396 - Lei Han, Yu Zhang
:
Learning Tree Structure in Multi-Task Learning. 397-406 - Yu Han, Jie Tang:
Probabilistic Community and Role Model for Social Networks. 407-416 - Kohei Hayashi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi:
Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering. 417-426 - Yangyang Hou
, Joyce Jiyoung Whang, David F. Gleich
, Inderjit S. Dhillon:
Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming. 427-436 - Hsun-Ping Hsieh
, Shou-De Lin
, Yu Zheng:
Inferring Air Quality for Station Location Recommendation Based on Urban Big Data. 437-446 - Shuhei Iitsuka, Yutaka Matsuo:
Website Optimization Problem and Its Solutions. 447-456 - Bo Jiang, Zhi-Li Zhang, Don Towsley
:
Reciprocity in Social Networks with Capacity Constraints. 457-466 - Fredrik D. Johansson
, Devdatt P. Dubhashi:
Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings. 467-476 - Nicholas Johnson, Arindam Banerjee:
Structured Hedging for Resource Allocations with Leverage. 477-486 - Ata Kabán:
Improved Bounds on the Dot Product under Random Projection and Random Sign Projection. 487-496 - Mojtaba Kadkhodaie, Konstantina Christakopoulou, Maziar Sanjabi, Arindam Banerjee:
Accelerated Alternating Direction Method of Multipliers. 497-506 - Zhengping Che
, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu:
Deep Computational Phenotyping. 507-516 - Janani Kalyanam, Amin Mantrach, Diego Sáez-Trumper
, Hossein Vahabi
, Gert R. G. Lanckriet:
Leveraging Social Context for Modeling Topic Evolution. 517-526 - Alexandros Karakasidis, Georgia Koloniari
, Vassilios S. Verykios
:
Scalable Blocking for Privacy Preserving Record Linkage. 527-536 - Noriaki Kawamae
:
Real Time Recommendations from Connoisseurs. 537-546 - Emre Kiciman, Matthew Richardson:
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media. 547-556 - Daniel Kifer:
On Estimating the Swapping Rate for Categorical Data. 557-566 - Hannah Kim, Jaegul Choo
, Jingu Kim, Chandan K. Reddy
, Haesun Park:
Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. 567-576 - Taehwan Kim, Yisong Yue, Sarah L. Taylor, Iain A. Matthews:
A Decision Tree Framework for Spatiotemporal Sequence Prediction. 577-586 - Younghoon Kim, Jiawei Han, Cangzhou Yuan:
TOPTRAC: Topical Trajectory Pattern Mining. 587-596 - Dimitrios Kotzias, Misha Denil, Nando de Freitas, Padhraic Smyth
:
From Group to Individual Labels Using Deep Features. 597-606 - Srijan Kumar
, Francesca Spezzano
, V. S. Subrahmanian:
VEWS: A Wikipedia Vandal Early Warning System. 607-616 - Chia-Tung Kuo, Xiang Wang, Peter B. Walker, Owen T. Carmichael, Jieping Ye, Ian Davidson:
Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation. 617-626 - Chao Lan, Jun Huan:
Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning. 627-634 - Jaewoo Lee, Yue Wang, Daniel Kifer:
Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints. 635-644 - Siyu Lei, Silviu Maniu
, Luyi Mo, Reynold Cheng, Pierre Senellart
:
Online Influence Maximization. 645-654 - Liangyue Li, Hanghang Tong
:
The Child is Father of the Man: Foresee the Success at the Early Stage. 655-664 - Ping Li:
0-Bit Consistent Weighted Sampling. 665-674 - Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
On the Discovery of Evolving Truth. 675-684 - Yongsub Lim, U Kang:
MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams. 685-694 - Su-Chen Lin, Shou-De Lin
, Ming-Syan Chen
:
A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks. 695-704 - Chuanren Liu
, Fei Wang, Jianying Hu, Hui Xiong:
Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework. 705-714 - Hongfu Liu
, Tongliang Liu
, Junjie Wu, Dacheng Tao, Yun Fu:
Spectral Ensemble Clustering. 715-724 - Felipe Llinares-López, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt
:
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing. 725-734 - Brendan Lucier, Joel Oren, Yaron Singer:
Influence at Scale: Distributed Computation of Complex Contagion in Networks. 735-744 - Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han:
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. 745-754 - Mohammad Mahdian, Okke Schrijvers, Sergei Vassilvitskii:
Algorithmic Cartography: Placing Points of Interest and Ads on Maps. 755-764 - Qi Mao, Li Wang, Steve Goodison, Yijun Sun:
Dimensionality Reduction Via Graph Structure Learning. 765-774 - William B. March, Bo Xiao, Sameer Tharakan, Chenhan D. Yu, George Biros:
Robust Treecode Approximation for Kernel Machines. 775-784 - Julian J. McAuley
, Rahul Pandey, Jure Leskovec
:
Inferring Networks of Substitutable and Complementary Products. 785-794
Research Paper Presentations (Part 2)
- Bryan David Minor, Janardhan Rao Doppa, Diane J. Cook:
Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications. 805-814 - Michael Mitzenmacher, Jakub Pachocki, Richard Peng, Charalampos E. Tsourakakis
, Shen Chen Xu:
Scalable Large Near-Clique Detection in Large-Scale Networks via Sampling. 815-824 - Davide Mottin
, Francesco Bonchi, Francesco Gullo
:
Graph Query Reformulation with Diversity. 825-834 - Jingchao Ni, Hanghang Tong
, Wei Fan, Xiang Zhang:
Flexible and Robust Multi-Network Clustering. 835-844 - Kirill Nikolaev, Alexey Drutsa, Ekaterina Gladkikh, Alexander Ulianov, Gleb Gusev, Pavel Serdyukov:
Extreme States Distribution Decomposition Method for Search Engine Online Evaluation. 845-854 - Nozomi Nori, Hisashi Kashima, Kazuto Yamashita
, Hiroshi Ikai, Yuichi Imanaka
:
Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care. 855-864 - Jinoh Oh, Wook-Shin Han, Hwanjo Yu, Xiaoqian Jiang:
Fast and Robust Parallel SGD Matrix Factorization. 865-874 - Naoto Ohsaka
, Takanori Maehara, Ken-ichi Kawarabayashi:
Efficient PageRank Tracking in Evolving Networks. 875-884 - Shota Okumura, Yoshiki Suzuki, Ichiro Takeuchi:
Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems. 885-894 - Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu:
Non-transitive Hashing with Latent Similarity Components. 895-904 - Pan Chao, Qiming Huang, Michael Zhu:
Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics. 905-914 - Christina Papagiannopoulou, Grigorios Tsoumakas
, Ioannis Tsamardinos:
Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning. 915-924 - Chong Peng, Zhao Kang, Huiqing Li
, Qiang Cheng:
Subspace Clustering Using Log-determinant Rank Approximation. 925-934 - Abdulhakim Ali Qahtan, Basma Alharbi
, Suojin Wang, Xiangliang Zhang
:
A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams. 935-944 - Guo-Jun Qi
, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno:
State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness. 945-954 - Shiyou Qian, Jian Cao, Frédéric Le Mouël, Issam Sahel, Minglu Li:
SCRAM: A Sharing Considered Route Assignment Mechanism for Fair Taxi Route Recommendations. 955-964 - Lu Qin
, Rong-Hua Li, Lijun Chang, Chengqi Zhang
:
Locally Densest Subgraph Discovery. 965-974 - Angeliki Rapti, Spyros Sioutas, Kostas Tsichlas, Giannis Tzimas:
Virus Propagation in Multiple Profile Networks. 975-984 - Shebuti Rayana, Leman Akoglu:
Collective Opinion Spam Detection: Bridging Review Networks and Metadata. 985-994 - Xiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R. Voss, Jiawei Han:
ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering. 995-1004 - Matteo Riondato
, Eli Upfal
:
Mining Frequent Itemsets through Progressive Sampling with Rademacher Averages. 1005-1014 - Yu Rong
, Hong Cheng, Zhiyu Mo:
Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events. 1015-1024 - Natali Ruchansky, Mark Crovella, Evimaria Terzi:
Matrix Completion with Queries. 1025-1034 - Issei Sato, Hiroshi Nakagawa:
Stochastic Divergence Minimization for Online Collapsed Variational Bayes Zero Inference of Latent Dirichlet Allocation. 1035-1044 - Aaron Schein, John W. Paisley, David M. Blei, Hanna M. Wallach:
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. 1045-1054 - Neil Shah, Danai Koutra, Tianmin Zou, Brian Gallagher
, Christos Faloutsos:
TimeCrunch: Interpretable Dynamic Graph Summarization. 1055-1064 - Dafna Shahaf, Eric Horvitz, Robert Mankoff:
Inside Jokes: Identifying Humorous Cartoon Captions. 1065-1074 - Junming Shao, Zhichao Han, Qinli Yang, Tao Zhou
:
Community Detection based on Distance Dynamics. 1075-1084 - Mohammad Shokoohi-Yekta, Yanping Chen, Bilson J. L. Campana, Bing Hu, Jesin Zakaria, Eamonn J. Keogh:
Discovery of Meaningful Rules in Time Series. 1085-1094 - Julian Shun:
An Evaluation of Parallel Eccentricity Estimation Algorithms on Undirected Real-World Graphs. 1095-1104 - Dongjin Song, David A. Meyer, Dacheng Tao:
Efficient Latent Link Recommendation in Signed Networks. 1105-1114 - Shaoxu Song
, Chunping Li, Xiaoquan Zhang:
Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data. 1115-1124 - Stergios Stergiou, Kostas Tsioutsiouliklis:
Set Cover at Web Scale. 1125-1133 - Yu Su, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Sue Kase, Michelle Vanni, Xifeng Yan:
Exploiting Relevance Feedback in Knowledge Graph Search. 1135-1144 - Zhaonan Sun, Fei Wang, Jianying Hu:
LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management. 1145-1154 - Ben Tan, Yangqiu Song
, Erheng Zhong, Qiang Yang:
Transitive Transfer Learning. 1155-1164 - Jian Tang, Meng Qu, Qiaozhu Mei:
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. 1165-1174 - Ya-Wen Teng, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen
:
An Effective Marketing Strategy for Revenue Maximization with a Quantity Constraint. 1175-1184 - Kenneth Tran, Saghar Hosseini, Lin Xiao, Thomas Finley, Mikhail Bilenko:
Scaling Up Stochastic Dual Coordinate Ascent. 1185-1194 - Hastagiri P. Vanchinathan, Andreas Marfurt, Charles-Antoine Robelin, Donald Kossmann, Andreas Krause:
Discovering Valuable items from Massive Data. 1195-1204 - Vivek Veeriah, Rohit Durvasula, Guo-Jun Qi
:
Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction. 1205-1214 - Chenguang Wang, Yangqiu Song
, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han:
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. 1215-1224 - Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han:
Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach. 1225-1234 - Hao Wang, Naiyan Wang, Dit-Yan Yeung:
Collaborative Deep Learning for Recommender Systems. 1235-1244 - Jialei Wang, Ryohei Fujimaki, Yosuke Motohashi:
Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models. 1245-1254 - Weiqing Wang
, Hongzhi Yin
, Ling Chen
, Yizhou Sun, Shazia Wasim Sadiq
, Xiaofang Zhou
:
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. 1255-1264 - Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny
, Abel N. Kho, You Chen, Bradley A. Malin
, Jimeng Sun
:
Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics. 1265-1274 - Yingzi Wang, Nicholas Jing Yuan, Defu Lian
, Linli Xu, Xing Xie
, Enhong Chen, Yong Rui:
Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. 1275-1284 - Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan
:
Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction. 1285-1294 - Jörg Wicker
, Nicolas Krauter, Bettina Derstorff, Christof Stönner, Efstratios Bourtsoukidis
, Thomas Klüpfel, Jonathan Williams, Stefan Kramer:
Cinema Data Mining: The Smell of Fear. 1295-1304 - Wush Chi-Hsuan Wu
, Mi-Yen Yeh
, Ming-Syan Chen
:
Predicting Winning Price in Real Time Bidding with Censored Data. 1305-1314 - Pengtao Xie, Yuntian Deng, Eric P. Xing:
Diversifying Restricted Boltzmann Machine for Document Modeling. 1315-1324 - Wenlei Xie, David Bindel
, Alan J. Demers, Johannes Gehrke:
Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier. 1325-1334 - Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar
, Yaoliang Yu:
Petuum: A New Platform for Distributed Machine Learning on Big Data. 1335-1344 - Tingyang Xu
, Jiangwen Sun, Jinbo Bi:
Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction. 1345-1354 - Feng Yan, Olatunji Ruwase, Yuxiong He, Trishul M. Chilimbi:
Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems. 1355-1364 - Pinar Yanardag, S. V. N. Vishwanathan:
Deep Graph Kernels. 1365-1374 - Pei Yang, Jingrui He:
Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning. 1375-1384 - Sen Yang, Qian Sun, Shuiwang Ji
, Peter Wonka, Ian Davidson, Jieping Ye:
Structural Graphical Lasso for Learning Mouse Brain Connectivity. 1385-1394 - Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, Juan-Zi Li:
Entity Matching across Heterogeneous Sources. 1395-1404 - Jinfeng Yi, Lijun Zhang, Tianbao Yang, Wei Liu
, Jun Wang:
An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints. 1405-1414 - Chao Zhang
, Yu Zheng, Xiuli Ma, Jiawei Han:
Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data. 1415-1424 - Hao Zhang, Gunhee Kim, Eric P. Xing:
Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data. 1425-1434 - Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Organizational Chart Inference. 1435-1444 - Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong
, Yu Jing, Juanzi Li:
Panther: Fast Top-k Similarity Search on Large Networks. 1445-1454 - Wei Zhang, Jianyong Wang:
A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation. 1455-1464 - Weinan Zhang, Jun Wang:
Statistical Arbitrage Mining for Display Advertising. 1465-1474 - Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji
:
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. 1475-1484 - Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei
, Philip S. Yu:
COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. 1485-1494 - Huasha Zhao, Biye Jiang, John F. Canny, Bobby Jaros:
SAME but Different: Fast and High Quality Gibbs Parameter Estimation. 1495-1502 - Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu
, Naren Ramakrishnan
:
Multi-Task Learning for Spatio-Temporal Event Forecasting. 1503-1512 - Qingyuan Zhao, Murat A. Erdogdu, Hera Y. He, Anand Rajaraman, Jure Leskovec
:
SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity. 1513-1522 - Xun Zheng, Yaoliang Yu, Eric P. Xing:
Linear Time Samplers for Supervised Topic Models using Compositional Proposals. 1523-1532 - Yan Zheng, Jeff M. Phillips:
L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data. 1533-1542 - Shi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu
, Heng Ji, Jiawei Han:
Modeling Truth Existence in Truth Discovery. 1543-1552 - Li Zhou, David G. Andersen, Mu Li, Alexander J. Smola:
Cuckoo Linear Algebra. 1553-1562 - Yang Zhou, Ling Liu, David Buttler
:
Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis. 1563-1572 - Wen-Yuan Zhu, Wen-Chih Peng, Ling-Jyh Chen
, Kai Zheng, Xiaofang Zhou
:
Modeling User Mobility for Location Promotion in Location-based Social Networks. 1573-1582 - Yada Zhu, Hongxia Yang, Jingrui He:
Co-Clustering based Dual Prediction for Cargo Pricing Optimization. 1583-1592 - Honglei Zhuang, Aditya G. Parameswaran
, Dan Roth, Jiawei Han:
Debiasing Crowdsourced Batches. 1593-1602 - Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke:
Query Workloads for Data Series Indexes. 1603-1612
Industry & Government Track Invited Talks
- Deepak Agarwal:
Scaling Machine Learning and Statistics for Web Applications. 1621 - Amr Awadallah:
Hadoop's Impact on the Future of Data Management. 1623 - Vasant Dhar:
Should You Trust Your Money to a Robot? 1625 - Waqar Hasan, Min Wang:
Data Science at Visa. 1627 - George John:
How Artificial Intelligence and Big Data Created Rocket Fuel: A Case Study. 1629 - Anil Kamath:
Optimizing Marketing Impact through Data Driven Decisioning. 1631 - Bassel Ojjeh:
Powering Real-time Decision Engines in Finance and Healthcare using Open Source Software. 1633 - Joseph Sirosh:
Clouded Intelligence. 1635 - Christopher White:
Data Science from the Lab to the Field to the Enterprise. 1637 - Qiang Yang:
User Modeling in Telecommunications and Internet Industry. 1639
Industry & Government Track Papers
- Panagiotis Adamopoulos
, Vilma Todri:
The Effectiveness of Marketing Strategies in Social Media: Evidence from Promotional Events. 1641-1650 - Deepak Agarwal, Bee-Chung Chen, Qi He
, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang:
Personalizing LinkedIn Feed. 1651-1660 - Rakesh Agrawal, Behzad Golshan, Evangelos E. Papalexakis
:
Whither Social Networks for Web Search? 1661-1670 - Marco Arlorio, Jean Daniel Coïsson
, Giorgio Leonardi, Monica Locatelli
, Luigi Portinale:
Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from Piedmont. 1671-1680 - Yukino Baba, Hisashi Kashima, Yasunobu Nohara
, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed
, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama
, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima:
Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. 1681-1690 - Senjuti Basu Roy, Ankur Teredesai, Kiyana Zolfaghar, Rui Liu, David Hazel, Stacey Newman, Albert Marinez:
Dynamic Hierarchical Classification for Patient Risk-of-Readmission. 1691-1700 - Josep Lluis Berral
, Nicolás Poggi
, David Carrera
, Aaron Call
, Rob Reinauer, Daron Green:
ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments. 1701-1710 - Mirela Madalina Botezatu, Jasmina Bogojeska
, Ioana Giurgiu, Hagen Völzer, Dorothea Wiesmann:
Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching. 1711-1720 - Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad:
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission. 1721-1730 - Emily Denton, Jason Weston, Manohar Paluri, Lubomir D. Bourdev, Rob Fergus:
User Conditional Hashtag Prediction for Images. 1731-1740 - Amit Dhurandhar, Bruce Graves, Rajesh Kumar Ravi, Gopikrishnan Maniachari, Markus Ettl:
Big Data System for Analyzing Risky Procurement Entities. 1741-1750 - Brendan Andrew Duncan, Charles Peter Elkan:
Probabilistic Modeling of a Sales Funnel to Prioritize Leads. 1751-1758 - Varun R. Embar, Indrajit Bhattacharya, Vinayaka Pandit, Roman Vaculín:
Online Topic-based Social Influence Analysis for the Wimbledon Championships. 1759-1768 - Shobeir Fakhraei, James R. Foulds, Madhusudana V. S. Shashanka, Lise Getoor:
Collective Spammer Detection in Evolving Multi-Relational Social Networks. 1769-1778 - Ronen Feldman, Oded Netzer, Aviv Peretz, Binyamin Rosenfeld:
Utilizing Text Mining on Online Medical Forums to Predict Label Change due to Adverse Drug Reactions. 1779-1788 - Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cédric Archambeau:
One-Pass Ranking Models for Low-Latency Product Recommendations. 1789-1798 - Oana Goga
, Patrick Loiseau, Robin Sommer, Renata Teixeira, Krishna P. Gummadi
:
On the Reliability of Profile Matching Across Large Online Social Networks. 1799-1808 - Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Jaikit Savla, Varun Bhagwan, Doug Sharp:
E-commerce in Your Inbox: Product Recommendations at Scale. 1809-1818 - Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Ananth Nagarajan:
Gender and Interest Targeting for Sponsored Post Advertising at Tumblr. 1819-1828 - Ben Green
, Alejandra Caro, Matthew Conway, Robert Manduca, Tom Plagge, Abby Miller:
Mining Administrative Data to Spur Urban Revitalization. 1829-1838 - Daniel N. Hill, Robert Moakler, Alan E. Hubbard, Vadim Tsemekhman, Foster J. Provost, Kiril Tsemekhman:
Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising. 1839-1847 - Henning Hohnhold, Deirdre O'Brien, Diane Tang:
Focusing on the Long-term: It's Good for Users and Business. 1849-1858 - Thomas Holleczek, Dang The Anh, Shanyang Yin, Yunye Jin, Spiros Antonatos, Han Leong Goh, Samantha Low, Amy Shi Nash:
Traffic Measurement and Route Recommendation System for Mass Rapid Transit (MRT). 1859-1868 - Elena Ikonomovska, Sina Jafarpour, Ali Dasdan:
Real-Time Bid Prediction using Thompson Sampling-Based Expert Selection. 1869-1878 - Peng Jiang, Yadong Zhu, Yi Zhang
, Quan Yuan:
Life-stage Prediction for Product Recommendation in E-commerce. 1879-1888 - Yushi Jing, David C. Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel:
Visual Search at Pinterest. 1889-1898 - Gunhee Kim, Leonid Sigal:
Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams. 1899-1908 - Himabindu Lakkaraju, Everaldo Aguiar, Carl Shan, David Miller, Nasir Bhanpuri, Rayid Ghani, Kecia L. Addison:
A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes. 1909-1918 - Yair Lakretz, Gal Chechik, Naama Friedmann
, Michal Rosen-Zvi:
Probabilistic Graphical Models of Dyslexia. 1919-1928 - Mounia Lalmas, Janette Lehmann, Guy Shaked, Fabrizio Silvestri
, Gabriele Tolomei
:
Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users. 1929-1938 - Nikolay Laptev, Saeed Amizadeh, Ian Flint:
Generic and Scalable Framework for Automated Time-series Anomaly Detection. 1939-1947 - Joonseok Lee, Ariel Fuxman, Bo Zhao, Yuanhua Lv:
Leveraging Knowledge Bases for Contextual Entity Exploration. 1949-1958 - Cheng Li, Yue Lu, Qiaozhu Mei, Dong Wang, Sandeep Pandey:
Click-through Prediction for Advertising in Twitter Timeline. 1959-1968 - Ying Li, Jose D. Contreras, Luis J. Salazar:
Predicting Voice Elicited Emotions. 1969-1978 - Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
:
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. 1979-1988 - Xu Miao, Chun-Te Chu, Lijun Tang, Yitong Zhou, Joel Young, Anmol Bhasin:
Distributed Personalization. 1989-1998 - Rajendu Mitra, Ramachandra Kota, Sambaran Bandyopadhyay, Vijay Arya, Brian Sullivan, Richard Mueller, Heather Storey, Gerard Labut:
Voltage Correlations in Smart Meter Data. 1999-2008 - Marjan Momtazpour, Jinghe Zhang, Saifur Rahman, Ratnesh K. Sharma, Naren Ramakrishnan
:
Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression. 2009-2018 - Meenakshi Nagarajan, Angela D. Wilkins, Benjamin J. Bachman, Ilya B. Novikov, Shenghua Bao, Peter J. Haas, María E. Terrón-Díaz, Sumit Bhatia
, Anbu K. Adikesavan, Jacques J. Labrie, Sam Regenbogen
, Christie M. Buchovecky, Curtis R. Pickering, Linda Kato, Andreas Martin Lisewski, Ana Lelescu, Houyin Zhang, Stephen Boyer, Griff Weber, Ying Chen, Lawrence A. Donehower, W. Scott Spangler, Olivier Lichtarge:
Predicting Future Scientific Discoveries Based on a Networked Analysis of the Past Literature. 2019-2028 - Vinod Nair, Ameya Raul
, Shwetabh Khanduja, Vikas Bahirwani, Sundararajan Sellamanickam, S. Sathiya Keerthi, Steve Herbert, Sudheer Dhulipalla:
Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues. 2029-2038 - Eric Potash, Joe Brew
, Alexander Loewi, Subhabrata Majumdar, Andrew Reece
, Joe Walsh, Eric Rozier, Emile Jorgenson, Raed Mansour
, Rayid Ghani:
Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning. 2039-2047 - Kevin B. Pratt:
Proof Protocol for a Machine Learning Technique Making Longitudinal Predictions in Dynamic Contexts. 2049-2058 - Johann Schleier-Smith:
An Architecture for Agile Machine Learning in Real-Time Applications. 2059-2068 - Manu Sethi, Yupeng Yan, Anand Rangarajan
, Ranga Raju Vatsavai, Sanjay Ranka
:
Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery. 2069-2078 - Elham Shaabani, Ashkan Aleali, Paulo Shakarian, John Bertetto:
Early Identification of Violent Criminal Gang Members. 2079-2088 - Vinay Shashidhar, Nishant Pandey, Varun Aggarwal:
Spoken English Grading: Machine Learning with Crowd Intelligence. 2089-2097 - Jianqiang Shen, Sahin Cem Geyik, Ali Dasdan:
Effective Audience Extension in Online Advertising. 2099-2108 - Virginia Smith, Miriam Connor, Isabelle Stanton:
Going In-Depth: Finding Longform on the Web. 2109-2118 - Sriram Somanchi, Samrachana Adhikari, Allen Lin, Elena Eneva, Rayid Ghani:
Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records. 2119-2126 - Nemanja Spasojevic, Zhisheng Li, Adithya Rao, Prantik Bhattacharyya:
When-To-Post on Social Networks. 2127-2136 - Andrew Stanton, Amanda Thart, Ashish Jain, Priyank Vyas, Arpan Chatterjee, Paulo Shakarian:
Mining for Causal Relationships: A Data-Driven Study of the Islamic State. 2137-2146 - Qian Sun, Mohammad Shafkat Amin, Baoshi Yan, Craig Martell, Vita Markman, Anmol Bhasin, Jieping Ye:
Transfer Learning for Bilingual Content Classification. 2147-2156 - Vincent S. Tseng, Jia-Ching Ying, Che-Wei Huang, Yimin Kao, Kuan-Ta Chen:
FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection. 2157-2166 - Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn J. Keogh, Kai Zhang:
Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems. 2167-2176 - Bhanu Chandra Vattikonda, Santhosh Kodipaka, Hongyan Zhou, Vacha Dave, Saikat Guha, Alex C. Snoeren:
Interpreting Advertiser Intent in Sponsored Search. 2177-2185 - Vasilis Verroios, Panagiotis Papadimitriou, Ramesh Johari, Hector Garcia-Molina:
Client Clustering for Hiring Modeling in Work Marketplaces. 2187-2196 - Qing Wang, Hengshu Zhu
, Wei Hu, Zhiyong Shen, Yuan Yao:
Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications. 2197-2206 - Xinyu Wei, Patrick Lucey, Stuart Morgan, Peter Carr, Machar Reid, Sridha Sridharan:
Predicting Serves in Tennis using Style Priors. 2207-2215 - Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu:
Smart Pacing for Effective Online Ad Campaign Optimization. 2217-2226 - Ya Xu, Nanyu Chen, Addrian Fernandez, Omar Sinno, Anmol Bhasin:
From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks. 2227-2236 - Kui Yu, Dawei Wang, Wei Ding
, Jian Pei
, David L. Small, Shafiqul Islam, Xindong Wu:
Tornado Forecasting with Multiple Markov Boundaries. 2237-2246 - Chao Yuan, Matthias Behmann, Bernhard Meerbeck:
Gas Concentration Reconstruction for Coal-Fired Boilers Using Gaussian Process. 2247-2256 - Weinan Zhang, Amr Ahmed, Jie Yang, Vanja Josifovski, Alexander J. Smola:
Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails. 2257-2266 - Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhangqing Shan, Eric Chang, Tianrui Li
:
Forecasting Fine-Grained Air Quality Based on Big Data. 2267-2276 - Erheng Zhong, Nathan Liu, Yue Shi, Suju Rajan:
Building Discriminative User Profiles for Large-scale Content Recommendation. 2277-2286 - Wenliang Zhong, Rong Jin, Cheng Yang, Xiaowei Yan, Qi Zhang, Qiang Li:
Stock Constrained Recommendation in Tmall. 2287-2296 - Zhengyi Zhou, David S. Matteson
:
Predicting Ambulance Demand: a Spatio-Temporal Kernel Approach. 2297-2303
Tutorials
- Shlomo Berkovsky
, Jill Freyne:
Web Personalization and Recommender Systems. 2307-2308 - Alex Beutel, Leman Akoglu, Christos Faloutsos:
Graph-Based User Behavior Modeling: From Prediction to Fraud Detection. 2309-2310 - Xin Fu, Hernán Asorey:
Data-Driven Product Innovation. 2311-2312 - Aristides Gionis, Charalampos E. Tsourakakis
:
Dense Subgraph Discovery: KDD 2015 tutorial. 2313-2314 - Manuel Gomez-Rodriguez
, Le Song:
Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods. 2315-2316 - Yan Liu, Sanjay Chawla:
Social Media Anomaly Detection: Challenges and Solutions. 2317-2318 - Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han:
Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach. 2319-2320 - Matteo Riondato
, Eli Upfal
:
VC-Dimension and Rademacher Averages: From Statistical Learning Theory to Sampling Algorithms. 2321-2322 - James G. Shanahan, Liang Dai:
Large Scale Distributed Data Science using Apache Spark. 2323-2324 - Myra Spiliopoulou, Pedro Pereira Rodrigues
, Ernestina Menasalvas Ruiz
:
Medical Mining: KDD 2015 Tutorial. 2325 - Tianbao Yang, Qihang Lin, Rong Jin:
Big Data Analytics: Optimization and Randomization. 2327
Panel
- Katharina Morik, Hugh F. Durrant-Whyte, Gary C. Hill
, Dietmar Müller
, Tanya Y. Berger-Wolf
:
Data Driven Science: SIGKDD Panel. 2329-2330
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