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ORCID17th KDD 2011: San Diego, CA, USA
- Chid Apté, Joydeep Ghosh, Padhraic Smyth:
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011. ACM 2011, ISBN 978-1-4503-0813-7
Keynote address 1
- Stephen P. Boyd:
Convex optimization: from embedded real-time to large-scale distributed. 1
Keynote address 2
- Peter Norvig:
Internet scale data analysis. 2
Keynote address 3
- David Haussler:
Cancer genomics. 3-4
Keynote address 4
- Judea Pearl:
The mathematics of causal inference. 5
Classification
- Leland Wilkinson, Anushka Anand, Dang Tuan Nhon
:
CHIRP: a new classifier based on composite hypercubes on iterated random projections. 6-14 - Sagar Chaki, Cory F. Cohen, Arie Gurfinkel:
Supervised learning for provenance-similarity of binaries. 15-23 - Zhuang Wang, Nemanja Djuric, Koby Crammer, Slobodan Vucetic:
Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification. 24-32 - Guo-Xun Yuan, Chia-Hua Ho, Chih-Jen Lin:
An improved GLMNET for l1-regularized logistic regression. 33-41
Matrix factorization
- Jianhui Chen, Jiayu Zhou, Jieping Ye:
Integrating low-rank and group-sparse structures for robust multi-task learning. 42-50 - Pauli Miettinen, Jilles Vreeken:
Model order selection for boolean matrix factorization. 51-59 - David F. Gleich, Lek-Heng Lim:
Rank aggregation via nuclear norm minimization. 60-68 - Rainer Gemulla, Erik Nijkamp, Peter J. Haas, Yannis Sismanis:
Large-scale matrix factorization with distributed stochastic gradient descent. 69-77
Graph analysis
- Avinava Dubey, Soumen Chakrabarti, Chiranjib Bhattacharyya:
Diversity in ranking via resistive graph centers. 78-86 - Galileo Namata, Stanley Kok, Lise Getoor:
Collective graph identification. 87-95 - Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li:
Semi-supervised ranking on very large graphs with rich metadata. 96-104 - Arun S. Maiya, Tanya Y. Berger-Wolf:
Benefits of bias: towards better characterization of network sampling. 105-113
Web user modeling
- Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola:
Scalable distributed inference of dynamic user interests for behavioral targeting. 114-122 - Yucheng Low, Deepak Agarwal, Alexander J. Smola:
Multiple domain user personalization. 123-131 - Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang:
Click shaping to optimize multiple objectives. 132-140 - Aditya Krishna Menon, Krishna Prasad Chitrapura, Sachin Garg, Deepak Agarwal, Nagaraj Kota:
Response prediction using collaborative filtering with hierarchies and side-information. 141-149
User modeling
- Pedro Henrique Calais Guerra, Adriano Veloso, Wagner Meira Jr., Virgílio A. F. Almeida:
From bias to opinion: a transfer-learning approach to real-time sentiment analysis. 150-158 - Bee-Chung Chen, Jian Guo, Belle L. Tseng, Jie Yang:
User reputation in a comment rating environment. 159-167 - Panayiotis Tsaparas, Alexandros Ntoulas, Evimaria Terzi:
Selecting a comprehensive set of reviews. 168-176
Online data and streams
- Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo:
Enabling fast prediction for ensemble models on data streams. 177-185 - Josh Attenberg, Foster J. Provost:
Online active inference and learning. 186-194 - Wei Chu, Martin Zinkevich, Lihong Li, Achint Thomas, Belle L. Tseng:
Unbiased online active learning in data streams. 195-203 - Hamed Valizadegan, Rong Jin, Shijun Wang:
Learning to trade off between exploration and exploitation in multiclass bandit prediction. 204-212
Deployed 1
- Kunal Mukerjee, Todd Porter, Sorin Gherman:
Linear scale semantic mining algorithms in microsoft SQL server's semantic platform. 213-221 - Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu:
Combining file content and file relations for cloud based malware detection. 222-230 - Ron Bekkerman, Matan Gavish:
High-precision phrase-based document classification on a modern scale. 231-239 - Feng Chen, Jing Dai, Bingsheng Wang, Sambit Sahu, Milind R. Naphade, Chang-Tien Lu:
Activity analysis based on low sample rate smart meters. 240-248
Deployed 2
- Ahmed Metwally, Matt Paduano:
Estimating the number of users behind ip addresses for combating abusive traffic. 249-257 - Xuhui Shao, Lexin Li:
Data-driven multi-touch attribution models. 258-264 - Ying Cui, Ruofei Zhang, Wei Li, Jianchang Mao:
Bid landscape forecasting in online ad exchange marketplace. 265-273 - D. Sculley, Matthew Eric Otey, Michael Pohl, Bridget Spitznagel, John Hainsworth, Yunkai Zhou:
Detecting adversarial advertisements in the wild. 274-282
Discovery
- Li Zheng, Chao Shen, Liang Tang, Tao Li, Steven Luis, Shu-Ching Chen:
Applying data mining techniques to address disaster information management challenges on mobile devices. 283-291 - Chunyu Luo, Hui Xiong, Wenjun Zhou, Yanhong Guo, Guishi Deng:
Enhancing investment decisions in P2P lending: an investor composition perspective. 292-300 - Daniel P. McCloskey, Michael E. Kress, Susan P. Imberman, Igor Kushnir, Susan Briffa-Mirabella:
From market baskets to mole rats: using data mining techniques to analyze RFID data describing laboratory animal behavior. 301-306 - Prasad Gabbur, Sharath Pankanti, Quanfu Fan, Hoang Trinh:
A pattern discovery approach to retail fraud detection. 307-315
Emerging 1
- Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun:
Driving with knowledge from the physical world. 316-324 - Rayid Ghani, Mohit Kumar:
Interactive learning for efficiently detecting errors in insurance claims. 325-333 - Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan:
NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce. 334-342 - Dean Cerrato, Rosie Jones, Avinash Gupta:
Classification of proxy labeled examples for marketing segment generation. 343-350 - Rakesh Agrawal, Samuel Ieong, Raja Velu:
Ameliorating buyer's remorse. 351-359
Emerging 2
- Debprakash Patnaik, Patrick Butler, Naren Ramakrishnan, Laxmi Parida, Benjamin J. Keller, David A. Hanauer:
Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges. 360-368 - György J. Simon, Peter W. Li, Clifford R. Jack Jr., Prashanthi Vemuri:
Understanding atrophy trajectories in alzheimer's disease using association rules on MRI images. 369-376 - Bruno Pradel, Savaneary Sean, Julien Delporte, Sébastien Guérif, Céline Rouveirol, Nicolas Usunier, Françoise Fogelman-Soulié, Frédéric Dufau-Joël:
A case study in a recommender system based on purchase data. 377-385 - Feilong Chen, Supranamaya Ranjan, Pang-Ning Tan:
Detecting bots via incremental LS-SVM learning with dynamic feature adaptation. 386-394 - Hani Neuvirth, Michal Ozery-Flato, Jianying Hu, Jonathan Laserson, Martin S. Kohn, Shahram Ebadollahi, Michal Rosen-Zvi:
Toward personalized care management of patients at risk: the diabetes case study. 395-403
Emerging 3
- Anitha Kannan, Inmar E. Givoni, Rakesh Agrawal, Ariel Fuxman:
Matching unstructured product offers to structured product specifications. 404-412 - Mikhail Bilenko, Matthew Richardson:
Predictive client-side profiles for personalized advertising. 413-421 - Jimmy Lin, Rion Snow, William Morgan:
Smoothing techniques for adaptive online language models: topic tracking in tweet streams. 422-429 - Marco Pennacchiotti, Ana-Maria Popescu:
Democrats, republicans and starbucks afficionados: user classification in twitter. 430-438
Text mining 1
- Khalid El-Arini, Carlos Guestrin:
Beyond keyword search: discovering relevant scientific literature. 439-447 - Chong Wang, David M. Blei:
Collaborative topic modeling for recommending scientific articles. 448-456 - Daniel Ramage, Christopher D. Manning, Susan T. Dumais:
Partially labeled topic models for interpretable text mining. 457-465
Text mining 2
- Tristan Mark Snowsill, Nick Fyson, Tijl De Bie, Nello Cristianini:
Refining causality: who copied from whom? 466-474 - Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing:
Conditional topical coding: an efficient topic model conditioned on rich features. 475-483 - Liangjie Hong, Dawei Yin, Jian Guo, Brian D. Davison:
Tracking trends: incorporating term volume into temporal topic models. 484-492
Privacy
- Noman Mohammed, Rui Chen, Benjamin C. M. Fung, Philip S. Yu:
Differentially private data release for data mining. 493-501 - Binh Luong Thanh, Salvatore Ruggieri, Franco Turini:
k-NN as an implementation of situation testing for discrimination discovery and prevention. 502-510 - Pritam Gundecha, Geoffrey Barbier, Huan Liu:
Exploiting vulnerability to secure user privacy on a social networking site. 511-519
Social networks
- Mao Ye, Dong Shou, Wang-Chien Lee, Peifeng Yin, Krzysztof Janowicz:
On the semantic annotation of places in location-based social networks. 520-528 - Michael Mathioudakis, Francesco Bonchi, Carlos Castillo, Aristides Gionis, Antti Ukkonen:
Sparsification of influence networks. 529-537 - Mahashweta Das, Gautam Das, Vagelis Hristidis:
Leveraging collaborative tagging for web item design. 538-546
Theory
- Michael Brückner, Tobias Scheffer:
Stackelberg games for adversarial prediction problems. 547-555 - Shachar Kaufman, Saharon Rosset, Claudia Perlich:
Leakage in data mining: formulation, detection, and avoidance. 556-563 - Tijl De Bie:
An information theoretic framework for data mining. 564-572
Frequent sets
- Michael Mampaey, Nikolaj Tatti, Jilles Vreeken:
Tell me what i need to know: succinctly summarizing data with itemsets. 573-581 - Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner:
Direct local pattern sampling by efficient two-step random procedures. 582-590 - Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà:
Mining frequent closed graphs on evolving data streams. 591-599
Text mining 3
- David Andrzejewski, David Buttler:
Latent topic feedback for information retrieval. 600-608 - Deepak Agarwal, Bee-Chung Chen, Bo Long:
Localized factor models for multi-context recommendation. 609-617 - Hongning Wang, Yue Lu, ChengXiang Zhai:
Latent aspect rating analysis without aspect keyword supervision. 618-626
Unsupervised learning
- Parikshit Ram, Alexander G. Gray:
Density estimation trees. 627-635 - David L. Applegate, Tamraparni Dasu, Shankar Krishnan, Simon Urbanek:
Unsupervised clustering of multidimensional distributions using earth mover distance. 636-644 - Ryohei Fujimaki, Yasuhiro Sogawa, Satoshi Morinaga:
Online heterogeneous mixture modeling with marginal and copula selection. 645-653
Graph mining
- Xiangnan Kong, Wei Fan, Philip S. Yu:
Dual active feature and sample selection for graph classification. 654-662 - Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos:
It's who you know: graph mining using recursive structural features. 663-671 - Shumo Chu, James Cheng:
Triangle listing in massive networks and its applications. 672-680
Scalability
- Alina Ene, Sungjin Im, Benjamin Moseley:
Fast clustering using MapReduce. 681-689 - Robson Leonardo Ferreira Cordeiro, Caetano Traina Jr., Agma Juci Machado Traina, Julio López, U Kang, Christos Faloutsos:
Clustering very large multi-dimensional datasets with MapReduce. 690-698 - Kai-Wei Chang, Dan Roth:
Selective block minimization for faster convergence of limited memory large-scale linear models. 699-707
Predictive modeling
- Georgiana Ifrim, Carsten Wiuf:
Bounded coordinate-descent for biological sequence classification in high dimensional predictor space. 708-716 - Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan, Wei Fan, Ian Davidson:
Multi-source domain adaptation and its application to early detection of fatigue. 717-725 - Panagiotis Achlioptas, Bernhard Schölkopf, Karsten M. Borgwardt:
Two-locus association mapping in subquadratic time. 726-734
Demonstration track
- Yong Ge, Chuanren Liu, Hui Xiong, Jian Chen:
A taxi business intelligence system. 735-738 - Duen Horng Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos:
Apolo: interactive large graph sensemaking by combining machine learning and visualization. 739-742 - Jian Fan, Ping Luo, Suk Hwan Lim, Sam Liu, Joshi Parag, Jerry Liu:
Article clipper: a system for web article extraction. 743-746 - Robert S. Sinkovits, Pietro Cicotti, Shawn Strande, Mahidhar Tatineni, Paul Rodríguez, Nicole Wolter, Natasha Balac:
Data intensive analysis on the gordon high performance data and compute system. 747-748 - Jakub Piskorski, Martin Atkinson:
Frontex real-time news event extraction framework. 749-752 - Xin Jin, Chi Wang, Jiebo Luo, Xiao Yu, Jiawei Han:
LikeMiner: a system for mining the power of 'like' in social media networks. 753-756 - Bart Goethals, Sandy Moens, Jilles Vreeken:
MIME: a framework for interactive visual pattern mining. 757-760 - Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Agenor Mafra-Neto, Edgar Rowton:
SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining. 761-764 - Cheng-Te Li, Shou-De Lin:
Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling. 765-768 - Jie Tang, Sen Wu, Bo Gao, Yang Wan:
Topic-level social network search. 769-772 - Harikrishna G. N. Rai, Kishore Jonna, P. Radha Krishna:
Video analytics solution for tracking customer locations in retail shopping malls. 773-776
Industrial practice expo track
- David H. Reiley:
"Which half Is wasted?": controlled experiments to measure online-advertising effectiveness. 777 - Mario E. Inchiosa:
Accelerating large-scale data mining using in-database analytics. 778 - Ravi Vijayaraghavan, P. V. Kannan:
Applications of data mining and machine learning in online customer care. 779 - Dan Steinberg, Felipe Fernandez Martinez:
Broad scale predictive modeling and marketing optimization in retail sales. 780 - Paul A. Rejto:
Knowledge discovery and data mining in pharmaceutical cancer research. 781 - Colleen McCue:
Operational security analytics: doing more with less. 782 - Tai Hsu:
Real-time risk control system for CNP (card not present). 783 - David Norton:
The power of analysis and data. 784 - Richard Boire:
The practitioner's viewpoint to data mining: key lessons learned in the trenches and case studies. 785 - John F. Elder IV:
Thriving as a data miner in the real world. 786
Poster session
- Luís Torgo, Orlando Ohashi:
2D-interval predictions for time series. 787-794 - Faris Alqadah, Raj Bhatnagar:
A game theoretic framework for heterogenous information network clustering. 795-804 - Andrew Cotter, Nathan Srebro, Joseph Keshet:
A GPU-tailored approach for training kernelized SVMs. 805-813 - Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye:
A multi-task learning formulation for predicting disease progression. 814-822 - György J. Simon, Vipin Kumar, Peter W. Li:
A simple statistical model and association rule filtering for classification. 823-831 - Liangjie Hong, Byron Dom, Siva Gurumurthy, Kostas Tsioutsiouliklis:
A time-dependent topic model for multiple text streams. 832-840 - Cristopher Moore, Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, Terran Lane:
Active learning for node classification in assortative and disassortative networks. 841-849 - Chris Mesterharm, Michael J. Pazzani:
Active learning using on-line algorithms. 850-858 - Kanishka Bhaduri, Bryan L. Matthews, Chris Giannella:
Algorithms for speeding up distance-based outlier detection. 859-867 - Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer:
An effective evaluation measure for clustering on evolving data streams. 868-876 - Xueyuan Zhou, Mikhail Belkin, Nathan Srebro:
An iterated graph laplacian approach for ranking on manifolds. 877-885 - Ruoyi Jiang, Hongliang Fei, Jun Huan:
Anomaly localization for network data streams with graph joint sparse PCA. 886-894 - Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain:
Approximate kernel k-means: solution to large scale kernel clustering. 895-903 - Parisa Rashidi, Diane J. Cook:
Ask me better questions: active learning queries based on rule induction. 904-912 - Yehuda Koren, Edo Liberty, Yoelle Maarek, Roman Sandler:
Automatically tagging email by leveraging other users' folders. 913-921 - Ruoming Jin, Victor E. Lee, Hui Hong:
Axiomatic ranking of network role similarity. 922-930 - Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman:
Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. 931-939 - Francisco Pereira, Matthew M. Botvinick:
Classification of functional magnetic resonance imaging data using informative pattern features. 940-946 - Eric Yi Liu, Zhaojun Zhang, Wei Wang:
Clustering with relative constraints. 947-955 - Huahua Wang, Arindam Banerjee, Daniel Boley:
Common component analysis for multiple covariance matrices. 956-964 - Hannu Toivonen, Fang Zhou, Aleksi Hartikainen, Atte Hinkka:
Compression of weighted graphs. 965-973 - V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth:
Content-driven trust propagation framework. 974-982 - Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen:
Cost-aware travel tour recommendation. 983-991 - Ruoming Jin, Lin Liu, Charu C. Aggarwal:
Discovering highly reliable subgraphs in uncertain graphs. 992-1000 - Xiaoxiao Shi, Wei Fan, Jianping Zhang, Philip S. Yu:
Discovering shakers from evolving entities via cascading graph inference. 1001-1009 - Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie:
Discovering spatio-temporal causal interactions in traffic data streams. 1010-1018 - Panagiotis Papadimitriou, Hector Garcia-Molina, Prabhakar Krishnamurthy, Randall A. Lewis, David H. Reiley:
Display advertising impact: search lift and social influence. 1019-1027 - Hanghang Tong, Jingrui He, Zhen Wen, Ravi B. Konuru, Ching-Yung Lin:
Diversified ranking on large graphs: an optimization viewpoint. 1028-1036 - Saurabh Kataria, Krishnan S. Kumar, Rajeev Rastogi, Prithviraj Sen, Srinivasan H. Sengamedu:
Entity disambiguation with hierarchical topic models. 1037-1045 - Salvatore Scellato, Anastasios Noulas, Cecilia Mascolo:
Exploiting place features in link prediction on location-based social networks. 1046-1054 - Kazuo Aoyama, Kazumi Saito, Hiroshi Sawada, Naonori Ueda:
Fast approximate similarity search based on degree-reduced neighborhood graphs. 1055-1063 - Cho-Jui Hsieh, Inderjit S. Dhillon:
Fast coordinate descent methods with variable selection for non-negative matrix factorization. 1064-1072 - Anirban Dasgupta, Ravi Kumar, Tamás Sarlós:
Fast locality-sensitive hashing. 1073-1081 - Eunjoon Cho, Seth A. Myers, Jure Leskovec:
Friendship and mobility: user movement in location-based social networks. 1082-1090 - U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos:
GBASE: a scalable and general graph management system. 1091-1099 - Dashun Wang, Dino Pedreschi, Chaoming Song, Fosca Giannotti, Albert-László Barabási:
Human mobility, social ties, and link prediction. 1100-1108 - Gideon Dror, Yehuda Koren, Yoelle Maarek, Idan Szpektor:
I want to answer; who has a question?: Yahoo! answers recommender system. 1109-1117 - Amit Dhurandhar:
Improving predictions using aggregate information. 1118-1126 - Claudia Plant, Christian Böhm:
INCONCO: interpretable clustering of numerical and categorical objects. 1127-1135 - Sean Gilpin, Ian N. Davidson:
Incorporating SAT solvers into hierarchical clustering algorithms: an efficient and flexible approach. 1136-1144 - Yan Liu, Pei-yun Hseuh, Rick Lawrence, Steve Meliksetian, Claudia Perlich, Alejandro Veen:
Latent graphical models for quantifying and predicting patent quality. 1145-1153 - Abdullah Mueen, Eamonn J. Keogh, Neal E. Young:
Logical-shapelets: an expressive primitive for time series classification. 1154-1162 - Puja Das, Arindam Banerjee:
Meta optimization and its application to portfolio selection. 1163-1171 - Nikolaj Tatti, Boris Cule:
Mining closed episodes with simultaneous events. 1172-1180 - Neal Lathia, Licia Capra:
Mining mobility data to minimise travellers' spending on public transport. 1181-1189 - Roberto Trasarti, Fabio Pinelli, Mirco Nanni, Fosca Giannotti:
Mining mobility user profiles for car pooling. 1190-1198 - Zhongang Qi, Ming Yang, Zhongfei (Mark) Zhang, Zhengyou Zhang:
Mining partially annotated images. 1199-1207 - Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence:
Multi-view transfer learning with a large margin approach. 1208-1216 - Michael Kwok-Po Ng, Xutao Li, Yunming Ye:
MultiRank: co-ranking for objects and relations in multi-relational data. 1217-1225 - Charu C. Aggarwal, Yan Xie, Philip S. Yu:
On dynamic data-driven selection of sensor streams. 1226-1234 - Pedram Pedarsani, Matthias Grossglauser:
On the privacy of anonymized networks. 1235-1243 - Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam:
Ontology enhancement and concept granularity learning: keeping yourself current and adaptive. 1244-1252 - Graham Cormode:
Personal privacy vs population privacy: learning to attack anonymization. 1253-1261 - Chih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen:
Privacy-preserving social network publication against friendship attacks. 1262-1270 - Hongbo Deng, Jiawei Han, Bo Zhao, Yintao Yu, Cindy Xide Lin:
Probabilistic topic models with biased propagation on heterogeneous information networks. 1271-1279 - Xiao Jiang, Chengkai Li, Ping Luo, Min Wang, Yong Yu:
Prominent streak discovery in sequence data. 1280-1288 - Byoungyoung Lee, Jinoh Oh, Hwanjo Yu, Jong Kim:
Protecting location privacy using location semantics. 1289-1297 - Ming Ji, Jiawei Han, Marina Danilevsky:
Ranking-based classification of heterogeneous information networks. 1298-1306 - Ye Chen, Pavel Berkhin, Bo Anderson, Nikhil R. Devanur:
Real-time bidding algorithms for performance-based display ad allocation. 1307-1315 - Aris Gkoulalas-Divanis, Grigorios Loukides:
Revisiting sequential pattern hiding to enhance utility. 1316-1324 - Nilesh N. Dalvi, Ravi Kumar, Ashwin Machanavajjhala, Vibhor Rastogi:
Sampling hidden objects using nearest-neighbor oracles. 1325-1333 - Shrikant Kashyap, Panagiotis Karras:
Scalable kNN search on vertically stored time series. 1334-1342 - Dan Zhang, Yan Liu, Luo Si:
Serendipitous learning: learning beyond the predefined label space. 1343-1351 - Vuk Malbasa, Slobodan Vucetic:
Spatially regularized logistic regression for disease mapping on large moving populations. 1352-1360 - Nagaraj Kota, Deepak Agarwal:
Temporal multi-hierarchy smoothing for estimating rates of rare events. 1361-1369 - Lei Li, Chieh-Jan Mike Liang, Jie Liu, Suman Nath, Andreas Terzis, Christos Faloutsos:
ThermoCast: a cyber-physical forecasting model for datacenters. 1370-1378 - Chedy Raïssi, Jian Pei:
Towards bounding sequential patterns. 1379-1387 - Yuchen Zhang, Weizhu Chen, Dong Wang, Qiang Yang:
User-click modeling for understanding and predicting search-behavior. 1388-1396 - Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li:
User-level sentiment analysis incorporating social networks. 1397-1405 - Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen:
Web information extraction using markov logic networks. 1406-1414
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