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ORCID13th ICDM 2013: Dallas, TX, USA
- Hui Xiong, George Karypis, Bhavani Thuraisingham, Diane J. Cook, Xindong Wu:
2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013. IEEE Computer Society 2013, ISBN 978-0-7695-5108-1
Regular Papers
- Aaron B. Adcock, Blair D. Sullivan
, Michael W. Mahoney:
Tree-Like Structure in Large Social and Information Networks. 1-10 - Abhijin Adiga, Anil Kumar S. Vullikanti, Dante Wiggins:
Subgraph Enumeration in Dynamic Graphs. 11-20 - Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu:
A Masking Index for Quantifying Hidden Glitches. 21-30 - Yuanjun Bi, Weili Wu, Yuqing Zhu:
CSI: Charged System Influence Model for Human Behavior Prediction. 31-40 - Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Context-Aware MIML Instance Annotation. 41-50 - Wenbin Cai, Ya Zhang, Jun Zhou:
Maximizing Expected Model Change for Active Learning in Regression. 51-60 - Zhuhua Cai, Christopher M. Jermaine, Zografoula Vagena, Dionysios Logothetis, Luis Leopoldo Perez:
The Pairwise Gaussian Random Field for High-Dimensional Data Imputation. 61-70 - Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang:
Controlling Attribute Effect in Linear Regression. 71-80 - Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye:
Active Matrix Completion. 81-90 - Freddy Chong Tat Chua, Richard Jayadi Oentaryo, Ee-Peng Lim:
Modeling Temporal Adoptions Using Dynamic Matrix Factorization. 91-100 - Bing Tian Dai, Hady Wirawan Lauw:
Modeling Preferences with Availability Constraints. 101-110 - Barnan Das, Narayanan Chatapuram Krishnan, Diane J. Cook:
wRACOG: A Gibbs Sampling-Based Oversampling Technique. 111-120 - Nemanja Djuric, Slobodan Vucetic:
Efficient Visualization of Large-Scale Data Tables through Reordering and Entropy Minimization. 121-130 - Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou, Yi-Dong Shen:
Local and Global Discriminative Learning for Unsupervised Feature Selection. 131-140 - Ambedkar Dukkipati, Gaurav Pandey, Debarghya Ghoshdastidar, Paramita Koley, D. M. V. Satya Sriram:
Generative Maximum Entropy Learning for Multiclass Classification. 141-150 - James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee:
A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics. 151-160 - Meng Fang, Jie Yin, Xingquan Zhu:
Transfer Learning across Networks for Collective Classification. 161-170 - Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel:
Distributed Column Subset Selection on MapReduce. 171-180 - Jing Feng, Xiao He, Nina C. Hubig, Christian Böhm, Claudia Plant:
Compression-Based Graph Mining Exploiting Structure Primitives. 181-190 - Michael Geilke, Eibe Frank, Andreas Karwath, Stefan Kramer:
Online Estimation of Discrete Densities. 191-200 - Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic:
Extraction of Interpretable Multivariate Patterns for Early Diagnostics. 201-210 - Xueqing Gong, Xinyu Guo, Rong Zhang, Xiaofeng He, Aoying Zhou:
Search Behavior Based Latent Semantic User Segmentation for Advertising Targeting. 211-220 - Stephan Günnemann, Christos Faloutsos:
Mixed Membership Subspace Clustering. 221-230 - Stephan Günnemann, Ines Färber, Sebastian Raubach, Thomas Seidl:
Spectral Subspace Clustering for Graphs with Feature Vectors. 231-240 - Robert Gwadera, Aris Gkoulalas-Divanis, Grigorios Loukides:
Permutation-Based Sequential Pattern Hiding. 241-250 - Xiaogang Han, Wenjun Zhou, Xing Jiang, Hengjie Song, Ming Zhong, Toyoaki Nishida:
Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance. 251-260 - Yuan Hao, Mohammad Shokoohi-Yekta, George Papageorgiou, Eamonn J. Keogh:
Parameter-Free Audio Motif Discovery in Large Data Archives. 261-270 - Yujie He, Wenlin Chen, Yixin Chen, Yi Mao:
Kernel Density Metric Learning. 271-280 - Bing Hu, Yanping Chen, Jesin Zakaria, Liudmila Ulanova, Eamonn J. Keogh:
Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record. 281-290 - Yi-Hung Huang, Chun-Nan Hsu, Kristina Lerman:
Identifying Transformative Scientific Research. 291-300 - Jianqiu Ji, Jianmin Li, Shuicheng Yan, Qi Tian, Bo Zhang:
Min-Max Hash for Jaccard Similarity. 301-309 - Lili Jiang, Ping Luo, Jianyong Wang, Yuhong Xiong, Bingduan Lin, Min Wang, Ning An:
GRIAS: An Entity-Relation Graph Based Framework for Discovering Entity Aliases. 310-319 - Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran:
Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results. 320-329 - Ulf Johansson, Henrik Boström, Tuve Löfström:
Conformal Prediction Using Decision Trees. 330-339 - Mayank Kejriwal, Daniel P. Miranker:
An Unsupervised Algorithm for Learning Blocking Schemes. 340-349 - Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, Jiawei Han:
Semantic Frame-Based Document Representation for Comparable Corpora. 350-359 - Jingu Kim, Naren Ramakrishnan, Manish Marwah, Amip Shah, Haesun Park:
Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery. 360-369 - Brendan Kitts, Dyng Au, Brian Burdick:
A High-Dimensional Set Top Box Ad Targeting Algorithm Including Experimental Comparisons to Traditional TV Algorithms. 370-378 - Deguang Kong, Chris H. Q. Ding:
Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso. 379-388 - Danai Koutra, Hanghang Tong, David M. Lubensky:
BIG-ALIGN: Fast Bipartite Graph Alignment. 389-398 - Chris J. Kuhlman, Gaurav Tuli, Samarth Swarup, Madhav V. Marathe, S. S. Ravi:
Blocking Simple and Complex Contagion by Edge Removal. 399-408 - Gautam Kunapuli, Phillip Odom, Jude W. Shavlik, Sriraam Natarajan:
Guiding Autonomous Agents to Better Behaviors through Human Advice. 409-418 - Anastasia Krithara, Georgios Paliouras:
TL-PLSA: Transfer Learning between Domains with Different Classes. 419-427 - Kang Li, Suxin Guo, Nan Du, Jing Gao, Aidong Zhang:
Learning, Analyzing and Predicting Object Roles on Dynamic Networks. 428-437 - Shuangyin Li, Guan Huang, Ruiyang Tan, Rong Pan:
Tag-Weighted Dirichlet Allocation. 438-447 - Yuxuan Li, James Bailey, Lars Kulik, Jian Pei:
Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases. 448-457 - Zhenhui Li, Fei Wu, Margaret Crofoot:
Mining Following Relationships in Movement Data. 458-467 - Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen, Chang Tan, Ji Chen:
Linear Computation for Independent Social Influence. 468-477 - Xu-Ying Liu, Qian-Qian Li, Zhi-Hua Zhou:
Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights. 478-487 - Cécile Low-Kam, Chedy Raïssi, Mehdi Kaytoue, Jian Pei:
Mining Statistically Significant Sequential Patterns. 488-497 - Lucrezia Macchia, Francesco Bonchi, Francesco Gullo, Luca Chiarandini:
Mining Summaries of Propagations. 498-507 - Son T. Mai, Xiao He, Nina C. Hubig, Claudia Plant, Christian Böhm:
Active Density-Based Clustering. 508-517 - Barbora Micenková, Raymond T. Ng, Xuan-Hong Dang, Ira Assent:
Explaining Outliers by Subspace Separability. 518-527 - Letizia Milli, Anna Monreale, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Fabrizio Sebastiani:
Quantification Trees. 528-536 - Misael Mongiovì, Petko Bogdanov, Ambuj K. Singh:
Mining Evolving Network Processes. 537-546 - Abdullah Mueen:
Enumeration of Time Series Motifs of All Lengths. 547-556 - Benjamin Négrevergne, Anton Dries, Tias Guns, Siegfried Nijssen:
Dominance Programming for Itemset Mining. 557-566 - Dung T. Nguyen, Huiyuan Zhang, Soham Das, My T. Thai, Thang N. Dinh:
Least Cost Influence in Multiplex Social Networks: Model Representation and Analysis. 567-576 - Diane Oyen, Terran Lane:
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning. 577-586 - Bei Pan, Ugur Demiryurek, Cyrus Shahabi, Chetan Gupta:
Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks. 587-596 - François Petitjean, Geoffrey I. Webb, Ann E. Nicholson:
Scaling Log-Linear Analysis to High-Dimensional Data. 597-606 - Buyue Qian, Xiang Wang, Jun Wang, Hongfei Li, Nan Cao, Weifeng Zhi, Ian Davidson:
Fast Pairwise Query Selection for Large-Scale Active Learning to Rank. 607-616 - Parasaran Raman, Suresh Venkatasubramanian:
Power to the Points: Validating Data Memberships in Clusterings. 617-626 - Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu:
Weighted-Object Ensemble Clustering. 627-636 - Matthew Rowe:
Mining User Lifecycles from Online Community Platforms and their Application to Churn Prediction. 637-646 - Patricia Iglesias Sánchez, Emmanuel Müller, Fabian Laforet, Fabian Keller, Klemens Böhm:
Statistical Selection of Congruent Subspaces for Mining Attributed Graphs. 647-656 - Rushdi Shams, Robert E. Mercer:
Classifying Spam Emails Using Text and Readability Features. 657-666 - Manali Sharma, Mustafa Bilgic:
Most-Surely vs. Least-Surely Uncertain. 667-676 - Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Chih-Ya Shen, Ming-Syan Chen:
On Pattern Preserving Graph Generation. 677-686 - Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista:
Time Series Classification Using Compression Distance of Recurrence Plots. 687-696 - Skyler Speakman, Yating Zhang, Daniel B. Neill:
Dynamic Pattern Detection with Temporal Consistency and Connectivity Constraints. 697-706 - Huan Sun, Gengxin Miao, Xifeng Yan:
Noise-Resistant Bicluster Recognition. 707-716 - Nikolaj Tatti:
Itemsets for Real-Valued Datasets. 717-726 - Rikiya Takahashi, Hideyuki Mizuta, Naoki Abe, Ruby L. Kennedy, Vincent J. Jeffs, Ravi Shah, Robert H. Crites:
Collective Response Spike Prediction for Mutually Interacting Consumers. 727-736 - Guanting Tang, Yupin Yang, Jian Pei:
Price Information Patterns in Web Search Advertising: An Empirical Case Study on Accommodation Industry. 737-746 - Duy Tin Truong, Roberto Battiti, Mauro Brunato:
Discovering Non-redundant Overlapping Biclusters on Gene Expression Data. 747-756 - Bhanukiran Vinzamuri, Chandan K. Reddy:
Cox Regression with Correlation Based Regularization for Electronic Health Records. 757-766 - Chi Wang, Marina Danilevsky, Jialu Liu, Nihit Desai, Heng Ji, Jiawei Han:
Constructing Topical Hierarchies in Heterogeneous Information Networks. 767-776 - Hongfei Wang, Xiang Zhang:
Binary Time-Series Query Framework for Efficient Quantitative Trait Association Study. 777-786 - Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons:
Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems. 787-796 - Yu Wang, Xiangyu Chang, Rongjian Li, Zongben Xu:
Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering. 797-806 - Sean Whalen, Gaurav Pandey:
A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics. 807-816 - Joyce Jiyoung Whang, Piyush Rai, Inderjit S. Dhillon:
Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing. 817-826 - Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai:
Multi-instance Multi-graph Dual Embedding Learning. 827-836 - Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, Ke Wang:
TopicSketch: Real-Time Bursty Topic Detection from Twitter. 837-846 - Liang Xiong, Barnabás Póczos, Jeff G. Schneider:
Efficient Learning on Point Sets. 847-856 - Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding:
Markov Blanket Feature Selection with Non-faithful Data Distributions. 857-866 - Chia-Chen Yen, Mi-Yen Yeh, Ming-Syan Chen:
An Efficient Approach to Updating Closeness Centrality and Average Path Length in Dynamic Networks. 867-876 - Nicholas Jing Yuan, Yingzi Wang, Fuzheng Zhang, Xing Xie, Guangzhong Sun:
Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach. 877-886 - Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu:
Feature Transformation with Class Conditional Decorrelation. 887-896 - Leon Wenliang Zhong, James T. Kwok:
Efficient Learning for Models with DAG-Structured Parameter Constraints. 897-906 - Chuan Zhou, Peng Zhang, Jing Guo, Xingquan Zhu, Li Guo:
UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks. 907-916 - Tianyi Zhou, Wei Bian, Dacheng Tao:
Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions. 917-926 - Yadong Zhu, Yanyan Lan, Jiafeng Guo, Pan Du, Xueqi Cheng:
A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization. 927-936
Short Papers
- Emin Aksehirli, Bart Goethals, Emmanuel Müller, Jilles Vreeken:
Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data. 937-942 - Carlos Alzate, Mathieu Sinn:
Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters. 943-948 - Balamurugan Palaniappan:
Large-Scale Elastic Net Regularized Linear Classification SVMs and Logistic Regression. 949-954 - Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Influence-Based Network-Oblivious Community Detection. 955-960 - Radim Belohlávek, Markéta Krmelová:
Beyond Boolean Matrix Decompositions: Toward Factor Analysis and Dimensionality Reduction of Ordinal Data. 961-966 - Glenn S. Bevilacqua, Shealen Clare, Amit Goyal, Laks V. S. Lakshmanan:
Validating Network Value of Influencers by Means of Explanations. 967-972 - Hau Chan, Leman Akoglu:
External Evaluation of Topic Models: A Graph Mining Approach. 973-978 - Shiyu Chang, Guo-Jun Qi, Jinhui Tang, Qi Tian, Yong Rui, Thomas S. Huang:
Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree. 979-984 - Snigdha Chaturvedi, Hal Daumé III, Taesun Moon:
Discriminatively Enhanced Topic Models. 985-990 - Keke Chen, Shumin Guo:
PerturBoost: Practical Confidential Classifier Learning in the Cloud. 991-996 - Scott Deeann Chen, Ying-Yu Chen, Jiawei Han, Pierre Moulin:
A Feature-Enhanced Ranking-Based Classifier for Multimodal Data and Heterogeneous Information Networks. 997-1002 - Zhitang Chen, Kun Zhang, Laiwan Chan:
Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method. 1003-1008 - Abir De, Niloy Ganguly, Soumen Chakrabarti:
Discriminative Link Prediction Using Local Links, Node Features and Community Structure. 1009-1018 - Vinay Deolalikar:
Most Clusters Can Be Retrieved with Short Disjunctive Queries. 1019-1024 - Boxiang Dong, Ruilin Liu, Wendy Hui Wang:
Integrity Verification of Outsourced Frequent Itemset Mining with Deterministic Guarantee. 1025-1030 - Nan Du, Jing Gao, Aidong Zhang:
Progression Analysis of Community Strengths in Dynamic Networks. 1031-1036 - Dóra Erdös, Pauli Miettinen:
Walk 'n' Merge: A Scalable Algorithm for Boolean Tensor Factorization. 1037-1042 - Zahra Ferdowsi, Rayid Ghani, Raffaella Settimi:
Online Active Learning with Imbalanced Classes. 1043-1048 - Yong Ge, Guofei Jiang, Yuan Ge:
Efficient Invariant Search for Distributed Information Systems. 1049-1054 - Doel L. Gonzalez, Saurabh V. Pendse, Kanchana Padmanabhan, Michael P. Angus, Isaac K. Tetteh, Shashank Srinivas, Andrea Villanes, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova:
Coupled Heterogeneous Association Rule Mining (CHARM): Application Toward Inference of Modulatory Climate Relationships. 1055-1060 - Bin Fu, Guandong Xu, Zhihai Wang, Longbing Cao:
Leveraging Supervised Label Dependency Propagation for Multi-label Learning. 1061-1066 - Anshul Gupta, Aurosish Mishra, Satya Gautam Vadlamudi, P. P. Chakrabarti, Sudeshna Sarkar, Tridib Mukherjee, Nathan Gnanasambandam:
A Mobility Simulation Framework Of Humans With Group Behavior Modeling. 1067-1072 - Bo Hu, Mohsen Jamali, Martin Ester:
Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation. 1073-1078 - Sheng-Jun Huang, Zhi-Hua Zhou:
Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning. 1079-1084 - David C. Kale, Yan Liu:
Accelerating Active Learning with Transfer Learning. 1085-1090 - Arun Siddharth Konagurthu, Lloyd Allison, David Abramson, Peter J. Stuckey, Arthur M. Lesk:
Statistical Inference of Protein "LEGO Bricks". 1091-1096 - Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada:
A Probabilistic Behavior Model for Discovering Unrecognized Knowledge. 1097-1102 - Sejeong Kwon, Meeyoung Cha, Kyomin Jung,