default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID20th KDD 2014: New York City, USA
- Sofus A. Macskassy, Claudia Perlich, Jure Leskovec, Wei Wang, Rayid Ghani:
The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014. ACM 2014, ISBN 978-1-4503-2956-9
Keynote talks
- Oren Etzioni:
The battle for the future of data mining. 1 - Eric Horvitz:
Data, predictions, and decisions in support of people and society. 2 - Eric E. Schadt:
A data driven approach to diagnosing and treating disease. 3 - Sendhil Mullainathan:
Bugbears or legitimate threats?: (social) scientists' criticisms of machine learning? 4
Research session 1: location-based services
- Xuan Song
, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki:
Prediction of human emergency behavior and their mobility following large-scale disaster. 5-14 - Yuxiao Dong, Yang Yang, Jie Tang, Yang Yang, Nitesh V. Chawla:
Inferring user demographics and social strategies in mobile social networks. 15-24 - Yilun Wang, Yu Zheng, Yexiang Xue:
Travel time estimation of a path using sparse trajectories. 25-34 - Moshe Lichman, Padhraic Smyth:
Modeling human location data with mixtures of kernel densities. 35-44 - Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong:
A cost-effective recommender system for taxi drivers. 45-54
Research session 2: applications to healthcare and medicine I
- Yubin Park, Joydeep Ghosh:
LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data. 55-64 - Subhabrata Mukherjee, Gerhard Weikum, Cristian Danescu-Niculescu-Mizil:
People on drugs: credibility of user statements in health communities. 65-74 - Marzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, Peter Szolovits:
Unfolding physiological state: mortality modelling in intensive care units. 75-84 - Xiang Wang, David A. Sontag, Fei Wang:
Unsupervised learning of disease progression models. 85-94 - Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos:
Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments. 95-104
Research session 3: applications to healthcare and medicine II
- Yasuko Matsubara, Yasushi Sakurai, Willem G. van Panhuis, Christos Faloutsos:
FUNNEL: automatic mining of spatially coevolving epidemics. 105-114 - Joyce C. Ho, Joydeep Ghosh, Jimeng Sun:
Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization. 115-124 - Chih-Chun Chia, Zeeshan Syed:
Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks. 125-134 - Jiayu Zhou, Fei Wang, Jianying Hu, Jieping Ye:
From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records. 135-144 - Fei Wang, Ping Zhang, Buyue Qian, Xiang Wang, Ian Davidson:
Clinical risk prediction with multilinear sparse logistic regression. 145-154 - James C. Ross, Peter J. Castaldi, Michael H. Cho, Jennifer G. Dy:
Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease. 155-162
Research session 4: recommender systems
- Quan Yuan, Gao Cong, Chin-Yew Lin:
COM: a generative model for group recommendation. 163-172 - Laurent Charlin, Richard S. Zemel, Hugo Larochelle:
Leveraging user libraries to bootstrap collaborative filtering. 173-182 - Yupeng Gu, Yizhou Sun, Ning Jiang, Bingyu Wang, Ting Chen:
Topic-factorized ideal point estimation model for legislative voting network. 183-192 - Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang:
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS). 193-202 - Mahbub Hasan, Abhijith Kashyap, Vagelis Hristidis, Vassilis J. Tsotras:
User effort minimization through adaptive diversification. 203-212
Research session 5: clustering
- Xiao He, Jing Feng, Bettina Konte, Son T. Mai, Claudia Plant:
Relevant overlapping subspace clusters on categorical data. 213-222 - Murat Dundar, Halid Ziya Yerebakan, Bartek Rajwa:
Batch discovery of recurring rare classes toward identifying anomalous samples. 223-232 - Jianhua Yin, Jianyong Wang:
A dirichlet multinomial mixture model-based approach for short text clustering. 233-242 - Andreas Züfle, Tobias Emrich, Klaus Arthur Schmid, Nikos Mamoulis, Arthur Zimek, Matthias Renz:
Representative clustering of uncertain data. 243-252 - Stephan Günnemann, Ines Färber, Matthias Sebastian Rüdiger, Thomas Seidl:
SMVC: semi-supervised multi-view clustering in subspace projections. 253-262
Research session 6: supervised learning I
- Yashoteja Prabhu, Manik Varma:
FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning. 263-272 - Shaodan Zhai, Tian Xia, Shaojun Wang:
A multi-class boosting method with direct optimization. 273-282 - Yashu Liu, Jie Wang, Jieping Ye:
An efficient algorithm for weak hierarchical lasso. 283-292 - Doyen Sahoo, Steven C. H. Hoi, Bin Li:
Online multiple kernel regression. 293-302 - Sihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu:
Class-distribution regularized consensus maximization for alleviating overfitting in model combination. 303-312
Research session 7: supervised learning II
- Teng Zhang, Zhi-Hua Zhou:
Large margin distribution machine. 313-322 - Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu:
Distance metric learning using dropout: a structured regularization approach. 323-332 - Siong Thye Goh, Cynthia Rudin:
Box drawings for learning with imbalanced data. 333-342 - Cheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin:
Incremental and decremental training for linear classification. 343-352 - Junbo Zhang, Guangjian Tian, Yadong Mu, Wei Fan:
Supervised deep learning with auxiliary networks. 353-361
Research session 8: trend, anomaly and novelty detection
- Tahereh Babaie, Sanjay Chawla, Romesh G. Abeysuriya:
Sleep analytics and online selective anomaly detection. 362-371 - Qi Rose Yu, Xinran He, Yan Liu:
GLAD: group anomaly detection in social media analysis. 372-381 - Dehua Cheng, Mohammad Taha Bahadori, Yan Liu:
FBLG: a simple and effective approach for temporal dependence discovery from time series data. 382-391 - Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme:
Learning time-series shapelets. 392-401 - Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic:
Utilizing temporal patterns for estimating uncertainty in interpretable early decision making. 402-411
Research session 9: data streams
- Junming Shao, Zahra Ahmadi, Stefan Kramer:
Prototype-based learning on concept-drifting data streams. 412-421 - Yanwei Yu, Lei Cao, Elke A. Rundensteiner, Qin Wang:
Detecting moving object outliers in massive-scale trajectory streams. 422-431 - Charu C. Aggarwal:
The setwise stream classification problem. 432-441 - Daniel Ting:
Streamed approximate counting of distinct elements: beating optimal batch methods. 442-451 - Andrew S. Lan, Christoph Studer, Richard G. Baraniuk:
Time-varying learning and content analytics via sparse factor analysis. 452-461
Research session 10: active learning
- Dan Kushnir:
Active-transductive learning with label-adapted kernels. 462-471 - Deepak Vasisht, Andreas C. Damianou, Manik Varma, Ashish Kapoor:
Active learning for sparse bayesian multilabel classification. 472-481 - De Wang, Feiping Nie, Heng Huang:
Large-scale adaptive semi-supervised learning via unified inductive and transductive model. 482-491 - Akshay Gadde, Aamir Anis, Antonio Ortega:
Active semi-supervised learning using sampling theory for graph signals. 492-501 - Jialei Wang, Nathan Srebro, James Evans:
Active collaborative permutation learning. 502-511
Research session 11: feature selection
- Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey:
Effective global approaches for mutual information based feature selection. 512-521 - Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng:
Gradient boosted feature selection. 522-531 - Shuo Xiang, Tao Yang, Jieping Ye:
Simultaneous feature and feature group selection through hard thresholding. 532-541 - Zheng Zhao, Jun Liu, James Cox:
Safe and efficient screening for sparse support vector machine. 542-551 - Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo, Rachel Ostroff:
Factorized sparse learning models with interpretable high order feature interactions. 552-561
Research session 12: statistical techniques for big data
- Dehua Cheng, Yan Liu:
Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence. 562-571 - Tamraparni Dasu, Ji Meng Loh, Divesh Srivastava:
Empirical glitch explanations. 572-581 - Hongxia Yang, Jingrui He:
Learning with dual heterogeneity: a nonparametric bayes model. 582-590 - Chien-Liang Liu, Tsung-Hsun Tsai, Chia-Hoang Lee:
Online chinese restaurant process. 591-600 - Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang:
Knowledge vault: a web-scale approach to probabilistic knowledge fusion. 601-610
Research session 13: scaling-up methods for big data
- Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang:
Improving the modified nyström method using spectral shifting. 611-620 - Wenlin Chen, Yixin Chen, Kilian Q. Weinberger:
Fast flux discriminant for large-scale sparse nonlinear classification. 621-630 - Mingwang Tang, Feifei Li:
Scalable histograms on large probabilistic data. 631-640 - Flavio Chierichetti, Nilesh N. Dalvi, Ravi Kumar:
Correlation clustering in MapReduce. 641-650 - Christos Anagnostopoulos, Peter Triantafillou:
Scaling out big data missing value imputations: pythia vs. godzilla. 651-660
Research session 14: large-scale optimization and learning
- Mu Li, Tong Zhang, Yuqiang Chen, Alexander J. Smola:
Efficient mini-batch training for stochastic optimization. 661-670 - Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause:
Streaming submodular maximization: massive data summarization on the fly. 671-680 - Edith Cohen:
Distance queries from sampled data: accurate and efficient. 681-690 - Yi Li, Zhengyu Wang, David P. Woodruff:
Improved testing of low rank matrices. 691-700 - Bryan Perozzi, Rami Al-Rfou, Steven Skiena:
DeepWalk: online learning of social representations. 701-710
Research session 15: web mining
- Sunita Sarawagi, Soumen Chakrabarti:
Open-domain quantity queries on web tables: annotation, response, and consensus models. 711-720 - Bin Wu, Erheng Zhong, Ben Tan, Andrew Horner, Qiang Yang:
Crowdsourced time-sync video tagging using temporal and personalized topic modeling. 721-730 - Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha:
Identifying and labeling search tasks via query-based hawkes processes. 731-740 - Oleksandr Polozov, Sumit Gulwani:
LaSEWeb: automating search strategies over semi-structured web data. 741-750 - Shangsong Liang, Zhaochun Ren, Maarten de Rijke:
Personalized search result diversification via structured learning. 751-760
Research session 16: transfer learning
- Pinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye:
Efficient multi-task feature learning with calibration. 761-770 - Tianyi Zhou, Dacheng Tao:
Multi-task copula by sparse graph regression. 771-780 - Mianwei Zhou, Kevin Chen-Chuan Chang:
Unifying learning to rank and domain adaptation: enabling cross-task document scoring. 781-790 - Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang:
Scalable heterogeneous translated hashing. 791-800 - Chung-Yi Li, Shou-De Lin:
Matching users and items across domains to improve the recommendation quality. 801-810
Research session 17: recommendations and ratings
- Wei Lu, Stratis Ioannidis, Smriti Bhagat, Laks V. S. Lakshmanan:
Optimal recommendations under attraction, aversion, and social influence. 811-820 - Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, Jiawei Han:
ClusCite: effective citation recommendation by information network-based clustering. 821-830 - Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui:
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. 831-840 - Stephan Günnemann, Nikou Günnemann, Christos Faloutsos:
Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution. 841-850 - Silei Xu, John Chi-Shing Lui:
Product selection problem: improve market share by learning consumer behavior. 851-860
Research session 18: topic modeling
- Yongxin Tong, Caleb Chen Cao, Lei Chen:
TCS: efficient topic discovery over crowd-oriented service data. 861-870 - Erich Schubert, Michael Weiler, Hans-Peter Kriegel:
SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds. 871-880 - Wray L. Buntine, Swapnil Mishra:
Experiments with non-parametric topic models. 881-890 - Aaron Q. Li, Amr Ahmed, Sujith Ravi, Alexander J. Smola:
Reducing the sampling complexity of topic models. 891-900 - Mikalai Tsytsarau, Themis Palpanas, Malú Castellanos:
Dynamics of news events and social media reaction. 901-910
Research session 19: security and privacy
- Qian Xiao, Rui Chen, Kian-Lee Tan:
Differentially private network data release via structural inference. 911-920 - Wentian Lu, Gerome Miklau:
Exponential random graph estimation under differential privacy. 921-930 - Jaewoo Lee, Christopher W. Clifton:
Top-k frequent itemsets via differentially private FP-trees. 931-940 - Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang:
CatchSync: catching synchronized behavior in large directed graphs. 941-950 - Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen:
Mobile app recommendations with security and privacy awareness. 951-960
Research session 20: dimensionality reduction
- Xiaomin Fang, Rong Pan:
Fast DTT: a near linear algorithm for decomposing a tensor into factor tensors. 967-976 - Feiping Nie, Xiaoqian Wang, Heng Huang:
Clustering and projected clustering with adaptive neighbors. 977-986 - Xilun Chen, K. Selçuk Candan:
LWI-SVD: low-rank, windowed, incremental singular value decompositions on time-evolving data sets. 987-996 - Dimitris S. Papailiopoulos, Anastasios Kyrillidis, Christos Boutsidis:
Provable deterministic leverage score sampling. 997-1006 - Tuan M. V. Le, Hady Wirawan Lauw:
Semantic visualization for spherical representation. 1007-1016
Research session 21: novel applications
- Rakesh Agrawal, Behzad Golshan, Evimaria Terzi:
Grouping students in educational settings. 1017-1026 - Jingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang, Yong Yu:
Inferring gas consumption and pollution emission of vehicles throughout a city. 1027-1036 - Karthik Raman, Thorsten Joachims:
Methods for ordinal peer grading. 1037-1046 - Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou:
Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering. 1047-1056 - Bo Zong, Yinghui Wu, Jie Song, Ambuj K. Singh, Hasan Çam, Jiawei Han, Xifeng Yan:
Towards scalable critical alert mining. 1057-1066
Research session 22: crowds and markets
- Caleb Chen Cao, Lei Chen, H. V. Jagadish:
From labor to trader: opinion elicitation via online crowds as a market. 1067-1076 - Weinan Zhang, Shuai Yuan, Jun Wang:
Optimal real-time bidding for display advertising. 1077-1086 - Ting Wang, Dashun Wang, Fei Wang:
Quantifying herding effects in crowd wisdom. 1087-1096 - Olivier Chapelle:
Modeling delayed feedback in display advertising. 1097-1105 - Meng Fang, Dacheng Tao:
Networked bandits with disjoint linear payoffs. 1106-1115
Research session 23: text mining
- Zhiyuan Chen, Bing Liu:
Mining topics in documents: standing on the shoulders of big data. 1116-1125 - Zhe Chen, Michael J. Cafarella:
Integrating spreadsheet data via accurate and low-effort extraction. 1126-1135 - Moritz Sudhof, Andrés Goméz Emilsson, Andrew L. Maas, Christopher Potts:
Sentiment expression conditioned by affective transitions and social forces. 1136-1145 - Furong Li, Mong-Li Lee, Wynne Hsu:
Entity profiling with varying source reliabilities. 1146-1155 - Anthony Fader, Luke Zettlemoyer, Oren Etzioni:
Open question answering over curated and extracted knowledge bases. 1156-1165
Research session 24: dynamic graph analysis
- Feng Chen, Daniel B. Neill:
Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs. 1166-1175 - Polina Rozenshtein, Aris Anagnostopoulos, Aristides Gionis, Nikolaj Tatti:
Event detection in activity networks. 1176-1185 - Meng Jiang, Peng Cui, Fei Wang, Xinran Xu, Wenwu Zhu, Shiqiang Yang:
FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery. 1186-1195 - Behzad Golshan, Theodoros Lappas, Evimaria Terzi:
Profit-maximizing cluster hires. 1196-1205 - Keqian Li, Wei Lu, Smriti Bhagat, Laks V. S. Lakshmanan, Cong Yu:
On social event organization. 1206-1215
Research session 25: diffusion in social and information networks
- Varun R. Embar, Rama Kumar Pasumarthi, Indrajit Bhattacharya:
A bayesian framework for estimating properties of network diffusions. 1216-1225 - Elias Boutros Khalil, Bistra Dilkina, Le Song:
Scalable diffusion-aware optimization of network topology. 1226-1235 - Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada:
Probabilistic latent network visualization: inferring and embedding diffusion networks. 1236-1245 - Senzhang Wang, Xia Hu, Philip S. Yu, Zhoujun Li:
MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades. 1246-1255 - Xinran He, David Kempe:
Stability of influence maximization. 1256-1265
Research session 26: social and information networks
- Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Who to follow and why: link prediction with explanations. 1266-1275 - Yang Zhou, Ling Liu:
Activity-edge centric multi-label classification for mining heterogeneous information networks. 1276-1285 - Jiawei Zhang, Philip S. Yu, Zhi-Hua Zhou:
Meta-path based multi-network collective link prediction. 1286-1295 - Manish Purohit, B. Aditya Prakash, Chanhyun Kang, Yao Zhang, V. S. Subrahmanian:
Fast influence-based coarsening for large networks. 1296-1305 - Peng Zhang, Wei Chen, Xiaoming Sun, Yajun Wang, Jialin Zhang:
Minimizing seed set selection with probabilistic coverage guarantee in a social network. 1306-1315
Research session 27: graph mining and modeling
- Francesco Bonchi, Francesco Gullo, Andreas Kaltenbrunner, Yana Volkovich:
Core decomposition of uncertain graphs. 1316-1325 - Austin R. Benson, Carlos Riquelme, Sven Schmit:
Learning multifractal structure in large networks. 1326-1335 - Chuanren Liu, Kai Zhang, Hui Xiong, Geoff Jiang, Qiang Yang:
Temporal skeletonization on sequential data: patterns, categorization, and visualization. 1336-1345 - Bryan Perozzi, Leman Akoglu, Patricia Iglesias Sánchez, Emmanuel Müller:
Focused clustering and outlier detection in large attributed graphs. 1346-1355 - Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang:
Inside the atoms: ranking on a network of networks. 1356-1365
Research session 28: network community detection
- Isabel M. Kloumann, Jon M. Kleinberg:
Community membership identification from small seed sets. 1366-1375 - Lian Duan, William Nick Street, Yanchi Liu, Haibing Lu:
Community detection in graphs through correlation. 1376-1385 - Kyle Kloster, David F. Gleich:
Heat kernel based community detection. 1386-1395 - Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
On the permanence of vertices in network communities. 1396-1405 - Rumi Ghosh, Shang-Hua Teng, Kristina Lerman, Xiaoran Yan:
The interplay between dynamics and networks: centrality, communities, and cheeger inequality. 1406-1415
Research session 29: scaling-up graph algorithms
- Yuichi Yoshida:
Almost linear-time algorithms for adaptive betweenness centrality using hypergraph sketches. 1416-1425 - Takanori Maehara, Mitsuru Kusumoto, Ken-ichi Kawarabayashi:
Efficient SimRank computation via linearizationPublication of this article pending inquiry. 1426-1435 - Peter Lofgren, Siddhartha Banerjee, Ashish Goel, Seshadhri Comandur:
FAST-PPR: scaling personalized pagerank estimation for large graphs. 1436-1445 - Nesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella:
Graph sample and hold: a framework for big-graph analytics. 1446-1455 - Florian Bourse, Marc Lelarge, Milan Vojnovic:
Balanced graph edge partition. 1456-1465
Research session 30: social network analysis
- Stavros Sintos, Panayiotis Tsaparas:
Using strong triadic closure to characterize ties in social networks. 1466-1475 - Takuya Akiba, Takanori Maehara, Ken-ichi Kawarabayashi:
Network structural analysis via core-tree-decomposition Publication of this article pending inquiry. 1476-1485 - Huan Sun, Mudhakar Srivatsa, Shulong Tan, Yang Li, Lance M. Kaplan, Shu Tao, Xifeng Yan:
Analyzing expert behaviors in collaborative networks. 1486-1495 - Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Predicting long-term impact of CQA posts: a comprehensive viewpoint. 1496-1505 - Bin Bi, Ben Kao, Chang Wan, Junghoo Cho:
Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services. 1506-1515
Industry & government invited talks
- Sri Subramaniam:
Frontiers in E-commerce personalization. 1516 - Tracy De Poalo, Jeremy Howard:
Predictive modeling in practice: a case study from sprint. 1517 - Nigam Shah:
Medicine in the age of electronic health records. 1518 - Cynthia Rudin:
Algorithms for interpretable machine learning. 1519 - Drew Conway:
Data science through the lens of social science. 1520 - Rand Waltzman:
Information environment security. 1521 - Nathan Eagle:
Big data for social good. 1522 - Robert Munro:
Bringing data science to the speakers of every language. 1523
Industry & government
- Acar Tamersoy, Kevin A. Roundy, Duen Horng Chau:
Guilt by association: large scale malware detection by mining file-relation graphs. 1524-1533 - Anitha Kannan, Simon Baker, Krishnan Ramnath, Juliet Fiss, Dahua Lin, Lucy Vanderwende, Rizwan Ansary, Ashish Kapoor, Qifa Ke, Matt Uyttendaele, Xin-Jing Wang, Lei Zhang:
Mining text snippets for images on the web. 1534-1543 - Ashay Tamhane, Shajith Ikbal, Bikram Sengupta, Mayuri Duggirala, James Appleton:
Predicting student risks through longitudinal analysis. 1544-1552 - Bingsheng Wang, Jinjun Xiong:
Novel geospatial interpolation analytics for general meteorological measurements. 1553-1562 - Brian Abelson, Kush R. Varshney, Joy Sun:
Targeting direct cash transfers to the extremely poor. 1563-1572 - Brian Dalessandro, Daizhuo Chen, Troy Raeder, Claudia Perlich, Melinda Han Williams, Foster J. Provost:
Scalable hands-free transfer learning for online advertising. 1573-1582 - Chen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, Zhe Wang:
Correlating events with time series for incident diagnosis. 1583-1592 - Chuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins:
Proactive workflow modeling by stochastic processes with application to healthcare operation and management. 1593-1602 - Deepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Joshua Hartman, Qi He, Anand Iyer, Sumanth Kolar, Yiming Ma, Pannagadatta Shivaswamy, Ajit Singh, Liang Zhang:
Activity ranking in LinkedIn feed. 1603-1612 - Deepak Agarwal, Souvik Ghosh, Kai Wei, Siyu You:
Budget pacing for targeted online advertisements at LinkedIn. 1613-1619 - Dejan Radosavljevik, Peter van der Putten:
Large scale predictive modeling for micro-simulation of 3G air interface load. 1620-1629 - Derek Lin, Rashmi Raghu, Vivek Ramamurthy, Jin Yu, Regunathan Radhakrishnan, Joseph Fernandez:
Unveiling clusters of events for alert and incident management in large-scale enterprise it. 1630-1639 - Diane Hu, Rob Hall, Josh Attenberg:
Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce. 1640-1649 - Enric Junqué de Fortuny, Marija Stankova, Julie Moeyersoms, Bart Minnaert, Foster J. Provost, David Martens:
Corporate residence fraud detection. 1650-1659 - Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan:
Modeling mass protest adoption in social network communities using geometric brownian motion. 1660-1669 - Gabor Melli:
Shallow semantic parsing of product offering titles (for better automatic hyperlink insertion). 1670-1678 - Gergely Ács, Claude Castelluccia:
A case study: privacy preserving release of spatio-temporal density in paris. 1679-1688 - Herodotos Herodotou, Bolin Ding, Shobana Balakrishnan, Geoff Outhred, Percy Fitter:
Scalable near real-time failure localization of data center networks. 1689-1698 - Jian Xu, Thanuka L. Wickramarathne, Nitesh V. Chawla, Erin K. Grey, Karsten Steinhaeuser, Reuben P. Keller, John M. Drake, David M. Lodge:
Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good. 1699-1708 - Kiran Kate, Sneha Chaudhari, Andy Prapanca, Jayant Kalagnanam:
FoodSIS: a text mining system to improve the state of food safety in singapore. 1709-1718 - Komal Kapoor, Mingxuan Sun, Jaideep Srivastava, Tao Ye:
A hazard based approach to user return time prediction. 1719-1728 - Kush R. Varshney, Vijil Chenthamarakshan, Scott W. Fancher, Jun Wang, DongPing Fang, Aleksandra Mojsilovic:
Predicting employee expertise for talent management in the enterprise. 1729-1738 - Li Zheng, Chunqiu Zeng, Lei Li, Yexi Jiang, Wei Xue, Jingxuan Li, Chao Shen, Wubai Zhou, Hongtai Li, Liang Tang, Tao Li, Bing Duan, Ming Lei, Pengnian Wang:
Applying data mining techniques to address critical process optimization needs in advanced manufacturing. 1739-1748 - Marco Avvenuti, Stefano Cresci, Andrea Marchetti, Carlo Meletti, Maurizio Tesconi:
EARS (earthquake alert and report system): a real time decision support system for earthquake crisis management. 1749-1758 - Matthew F. Der, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker:
Knock it off: profiling the online storefronts of counterfeit merchandise. 1759-1768 - Michael Bendersky, Lluis Garcia Pueyo, Jeremiah J. Harmsen, Vanja Josifovski, Dima Lepikhin:
Up next: retrieval methods for large scale related video suggestion. 1769-1778 - Mingqiang Xue, Huayu Wu, Wei Chen, Wee Siong Ng, Gin Howe Goh:
Identifying tourists from public transport commuters. 1779-1788 - Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham:
Spatially embedded co-offence prediction using supervised learning. 1789-1798 - Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares:
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. 1799-1808 - Nemanja Spasojevic, Jinyun Yan, Adithya Rao, Prantik Bhattacharyya:
LASTA: large scale topic assignment on multiple social networks. 1809-1818 - Onno Zoeter, Christopher R. Dance, Stéphane Clinchant, Jean-Marc Andreoli:
New algorithms for parking demand management and a city-scale deployment. 1819-1828 - Paulo Shakarian, Joseph Salmento, William R. Pulleyblank, John Bertetto:
Reducing gang violence through network influence based targeting of social programs. 1829-1836 - Pei Lee, Laks V. S. Lakshmanan, Mitul Tiwari, Sam Shah:
Modeling impression discounting in large-scale recommender systems. 1837-1846 - Richard J. Beckman, Keith R. Bisset, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe, Paula Elaine Stretz:
ISIS: a networked-epidemiology based pervasive web app for infectious disease pandemic planning and response. 1847-1856 - Ron Kohavi, Alex Deng, Roger Longbotham, Ya Xu:
Seven rules of thumb for web site experimenters. 1857-1866 - Ruben Sipos, Dmitriy Fradkin, Fabian Mörchen, Zhuang Wang:
Log-based predictive maintenance. 1867-1876 - W. Scott Spangler, Angela D. Wilkins, Benjamin J. Bachman, Meena Nagarajan, Tajhal Dayaram, Peter J. Haas, Sam Regenbogen, Curtis R. Pickering, Austin Comer, Jeffrey N. Myers, Ioana Stanoi, Linda Kato, Ana Lelescu, Jacques J. Labrie, Neha Parikh, Andreas Martin Lisewski, Lawrence A. Donehower, Ying Chen, Olivier Lichtarge:
Automated hypothesis generation based on mining scientific literature. 1877-1886 - Shashank Srikant, Varun Aggarwal:
A system to grade computer programming skills using machine learning. 1887-1896 - Shuai Yuan, Jun Wang, Bowei Chen, Peter Mason, Sam Seljan:
An empirical study of reserve price optimisation in real-time bidding. 1897-1906 - Shuang-Hong Yang, Alek Kolcz, Andy Schlaikjer, Pankaj Gupta:
Large-scale high-precision topic modeling on twitter. 1907-1916 - Vignesh Jagadeesh, Robinson Piramuthu, Anurag Bhardwaj, Wei Di, Neel Sundaresan:
Large scale visual recommendations from street fashion images. 1925-1934 - Wayne Xin Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu, Xiaoming Li:
We know what you want to buy: a demographic-based system for product recommendation on microblogs. 1935-1944 - Ye Xu, Zang Li, Abhishek Gupta, Ahmet Bugdayci, Anmol Bhasin:
Modeling professional similarity by mining professional career trajectories. 1945-1954 - Yukihiro Tagami, Toru Hotta, Yusuke Tanaka, Shingo Ono, Koji Tsukamoto, Akira Tajima:
Filling context-ad vocabulary gaps with click logs. 1955-1964
Panel
- Raghu Ramakrishnan, Geoffrey I. Webb:
Does social good justify risking personal privacy? 1965
Tutorials
- Yoshua Bengio:
Scaling up deep learning. 1966 - Antoine Bordes, Evgeniy Gabrilovich:
Constructing and mining web-scale knowledge graphs: KDD 2014 tutorial. 1967 - Jiawei Han, Chi Wang, Ahmed El-Kishky:
Bringing structure to text: mining phrases, entities, topics, and hierarchies. 1968 - Madhav V. Marathe, Anil Kumar S. Vullikanti:
Computational epidemiology. 1969 - Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark:
Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data. 1970 - Xavier Amatriain, Bamshad Mobasher:
The recommender problem revisited: morning tutorial. 1971 - Francesco Bonchi, David García-Soriano, Edo Liberty:
Correlation clustering: from theory to practice. 1972 - Ruslan Salakhutdinov:
Deep learning. 1973 - Feida Zhu, Huan Sun, Xifeng Yan:
Network mining and analysis for social applications. 1974 - Graham Cormode, Nick G. Duffield:
Sampling for big data: a tutorial. 1975 - Wilhelmiina Hämäläinen, Geoffrey I. Webb:
Statistically sound pattern discovery. 1976 - Jiliang Tang, Jie Tang, Huan Liu:
Recommendation in social media: recent advances and new frontiers. 1977
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-24 21:36 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
