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SIGMOD/PODS '08
SIGMOD/PODS '09
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This DVD contains the proceedings of the
14th ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD 2008),
which was held from August 24-27, 2008 in Las Vegas, Nevada.
You may use the "  PDF"
link to retrieve the paper,
and the other links to find more information on the paper.
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Benjamin Edelman, Michael Schwarz
Internet advertising and optimal auction design 1
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Thore Graepel, Ralf Herbrich
Large scale data analysis and modelling in online services and advertising 2
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Trevor Hastie, Jerome Friedman, Robert Tibshirani
Regularization paths and coordinate descent 3
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Jitendra Malik
The future of image search 4
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Udo Miletzki
Genesis of postal address reading, current state and future prospects: thirty years of pattern recognition on duty of postal services 5-6
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Aris Anagnostopoulos, Ravi Kumar, Mohammad Mahdian
Influence and correlation in social networks 7-15
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Luca Becchetti, Paolo Boldi, Carlos Castillo, Aristides Gionis
Efficient semi-streaming algorithms for local triangle counting in massive graphs 16-24
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Indrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi
Structured entity identification and document categorization: two tasks with one joint model 25-33
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Albert Bifet, Ricard Gavaldà
Mining adaptively frequent closed unlabeled rooted trees in data streams 34-42
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Mustafa Bilgic, Lise Getoor
Effective label acquisition for collective classification 43-51
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Francesco Bonchi, Carlos Castillo, Debora Donato, Aristides Gionis
Topical query decomposition 52-60
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Christos Boutsidis, Michael W. Mahoney, Petros Drineas
Unsupervised feature selection for principal components analysis 61-69
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Justin Brickell, Vitaly Shmatikov
The cost of privacy: destruction of data-mining utility in anonymized data publishing 70-78
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Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
Generating succinct titles for web URLs 79-87
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Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chiru Bhattacharyya
Structured learning for non-smooth ranking losses 88-96
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Ming-wei Chang, Wen-tau Yih, Christopher Meek
Partitioned logistic regression for spam filtering 97-105
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Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye
Learning subspace kernels for classification 106-114
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WenYen Chen, Dong Zhang, Edward Y. Chang
Combinational collaborative filtering for personalized community recommendation 115-123
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Xue-wen Chen, Michael Wasikowski
FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems 124-132
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Haibin Cheng, Pang-Ning Tan
Semi-supervised learning with data calibration for long-term time series forecasting 133-141
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Yong Ju Cho, Naren Ramakrishnan, Yang Cao
Reconstructing chemical reaction networks: data mining meets system identification 142-150
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Peter Christen
Automatic record linkage using seeded nearest neighbour and support vector machine classification 151-159
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David J. Crandall, Dan Cosley, Daniel P. Huttenlocher, Jon M. Kleinberg, Siddharth Suri
Feedback effects between similarity and social influence in online communities 160-168
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Kaustav Das, Jeff G. Schneider, Daniel B. Neill
Anomaly pattern detection in categorical datasets 169-176
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Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong
Bypass rates: reducing query abandonment using negative inferences 177-185
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Anirban Dasgupta, Ravi Kumar, Amit Sasturkar
De-duping URLs via rewrite rules 186-194
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Jason V. Davis, Inderjit S. Dhillon
Structured metric learning for high dimensional problems 195-203
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Luc De Raedt, Tias Guns, Siegfried Nijssen
Constraint programming for itemset mining 204-212
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Charles Elkan, Keith Noto
Learning classifiers from only positive and unlabeled data 213-220
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Kave Eshghi, Shyamsundar Rajaram
Locality sensitive hash functions based on concomitant rank order statistics 221-229
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Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure
Direct mining of discriminative and essential frequent patterns via model-based search tree 230-238
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George Forman, Shyamsundar Rajaram
Scaling up text classification for large file systems 239-246
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Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamuro
SPIRAL: efficient and exact model identification for hidden Markov models 247-255
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Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos
Using ghost edges for classification in sparsely labeled networks 256-264
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Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanathan, Adam Smith
Composition attacks and auxiliary information in data privacy 265-273
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Venkatesh Ganti, Arnd Christian König, Rares Vernica
Entity categorization over large document collections 274-282
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Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
Knowledge transfer via multiple model local structure mapping 283-291
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Gemma C. Garriga, Esa Junttila, Heikki Mannila
Banded structure in binary matrices 292-300
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Rohit Gupta, Gang Fang, Blayne Field, Michael Steinbach, Vipin Kumar
Quantitative evaluation of approximate frequent pattern mining algorithms 301-309
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Robert Hall, Charles A. Sutton, Andrew McCallum
Unsupervised deduplication using cross-field dependencies 310-317
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Meng Hu, Jiong Yang, Wei Su
Permu-pattern: discovery of mutable permutation patterns with proximity constraint 318-326
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Heng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering 327-335
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Woochang Hwang, Taehyong Kim, Murali Ramanathan, Aidong Zhang
Bridging centrality: graph mining from element level to group level 336-344
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Saara Hyvönen, Pauli Miettinen, Evimaria Terzi
Interpretable nonnegative matrix decompositions 345-353
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Georgiana Ifrim, Gökhan H. Bakir, Gerhard Weikum
Fast logistic regression for text categorization with variable-length n-grams 354-362
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Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
Probabilistic latent semantic visualization: topic model for visualizing documents 363-371
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David D. Jensen, Andrew S. Fast, Brian J. Taylor, Marc E. Maier
Automatic identification of quasi-experimental designs for discovering causal knowledge 372-380
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Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
Extracting shared subspace for multi-label classification 381-389
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Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, Jiawei Han
Mining preferences from superior and inferior examples 390-398
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Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
Effective and efficient itemset pattern summarization: regression-based approaches 399-407
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S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
A sequential dual method for large scale multi-class linear svms 408-416
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Jerry Kiernan, Evimaria Terzi
Constructing comprehensive summaries of large event sequences 417-425
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Yehuda Koren
Factorization meets the neighborhood: a multifaceted collaborative filtering model 426-434
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Gueorgi Kossinets, Jon M. Kleinberg, Duncan J. Watts
The structure of information pathways in a social communication network 435-443
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Hans-Peter Kriegel, Matthias Schubert, Arthur Zimek
Angle-based outlier detection in high-dimensional data 444-452
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Srivatsan Laxman, Vikram Tankasali, Ryen W. White
Stream prediction using a generative model based on frequent episodes in event sequences 453-461
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Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew Tomkins
Microscopic evolution of social networks 462-470
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Lei Li, Wenjie Fu, Fan Guo, Todd C. Mowry, Christos Faloutsos
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps 471-479
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Charles X. Ling, Jun Du
Active learning with direct query construction 480-487
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Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu
Spectral domain-transfer learning 488-496
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Xu Ling, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Schatz
Mining multi-faceted overviews of arbitrary topics in a text collection 497-505
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Aurelie C. Lozano, Naoki Abe
Multi-class cost-sensitive boosting with p-norm loss functions 506-514
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Omid Madani, Jian Huang 0002
On updates that constrain the features' connections during learning 515-523
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Mary McGlohon, Leman Akoglu, Christos Faloutsos
Weighted graphs and disconnected components: patterns and a generator 524-532
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Gabriela Moise, Jörg Sander
Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering 533-541
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Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen
Joint latent topic models for text and citations 542-550
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Nam Nguyen, Rich Caruana
Classification with partial labels 551-559
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Dino Pedreschi, Salvatore Ruggieri, Franco Turini
Discrimination-aware data mining 560-568
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Ian Porteous, David Newman, Alexander T. Ihler, Arthur Asuncion, Padhraic Smyth, Max Welling
Fast collapsed gibbs sampling for latent dirichlet allocation 569-577
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Hiroto Saigo, Nicole Krämer, Koji Tsuda
Partial least squares regression for graph mining 578-586
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Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model 587-595
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Mukund Seshadri, Sridhar Machiraju, Ashwin Sridharan, Jean Bolot, Christos Faloutsos, Jure Leskovec
Mobile call graphs: beyond power-law and lognormal distributions 596-604
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Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos Anerousis
Efficient ticket routing by resolution sequence mining 605-613
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Victor S. Sheng, Foster J. Provost, Panagiotis G. Ipeirotis
Get another label? improving data quality and data mining using multiple, noisy labelers 614-622
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Jin Shieh, Eamonn J. Keogh
iSAX: indexing and mining terabyte sized time series 623-631
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Ka Cheung Sia, Junghoo Cho, Yun Chi, Belle L. Tseng
Efficient computation of personal aggregate queries on blogs 632-640
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György J. Simon, Vipin Kumar, Zhi-Li Zhang
Semi-supervised approach to rapid and reliable labeling of large data sets 641-649
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Ajit Paul Singh, Geoffrey J. Gordon
Relational learning via collective matrix factorization 650-658
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Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums
A bayesian mixture model with linear regression mixing proportions 659-667
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Liang Sun, Shuiwang Ji, Jieping Ye
Hypergraph spectral learning for multi-label classification 668-676
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Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri
Community evolution in dynamic multi-mode networks 677-685
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Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos
Colibri: fast mining of large static and dynamic graphs 686-694
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Pedro O. S. Vaz de Melo, Virgílio A. F. Almeida, Antonio Alfredo Ferreira Loureiro
Can complex network metrics predict the behavior of NBA teams? 695-703
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Daniel David Walker, Eric K. Ringger
Model-based document clustering with a collapsed gibbs sampler 704-712
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Pu Wang, Carlotta Domeniconi
Building semantic kernels for text classification using wikipedia 713-721
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Michael L. Wick, Khashayar Rohanimanesh, Karl Schultz, Andrew McCallum
A unified approach for schema matching, coreference and canonicalization 722-730
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Fei Wu 0003, Raphael Hoffmann, Daniel S. Weld
Information extraction from Wikipedia: moving down the long tail 731-739
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Junjie Wu, Hui Xiong, Jian Chen
SAIL: summation-based incremental learning for information-theoretic clustering 740-748
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Shan-Hung Wu, Keng-Pei Lin, Chung-Min Chen, Ming-Syan Chen
Asymmetric support vector machines: low false-positive learning under the user tolerance 749-757
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Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dragan
Succinct summarization of transactional databases: an overlapped hyperrectangle scheme 758-766
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Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu
Anonymizing transaction databases for publication 767-775
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Jian Yang, Ning Zhong, Yiyu Yao, Jue Wang
Local peculiarity factor and its application in outlier detection 776-784
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Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shimbo
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances 785-793
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Chun-Nam John Yu, Thorsten Joachims
Training structural svms with kernels using sampled cuts 794-802
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Lei Yu, Chris H. Q. Ding, Steven Loscalzo
Stable feature selection via dense feature groups 803-811
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Peng Zhang, Xingquan Zhu, Yong Shi
Categorizing and mining concept drifting data streams 812-820
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Xiang Zhang, Fei Zou, Wei Wang 0010
Fastanova: an efficient algorithm for genome-wide association study 821-829
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Bin Zhao, Fei Wang, Changshui Zhang
Cuts3vm: a fast semi-supervised svm algorithm 830-838
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Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Yung Chang
Identifying biologically relevant genes via multiple heterogeneous data sources 839-847
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Wenjun Zhou, Hui Xiong
Volatile correlation computation: a checkpoint view 848-856
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Shyam Boriah, Vipin Kumar, Michael Steinbach, Christopher Potter, Steven A. Klooster
Land cover change detection: a case study 857-865
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Mohamed Bouguessa, Benoît Dumoulin, Shengrui Wang
Identifying authoritative actors in question-answering forums: the case of Yahoo! answers 866-874
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Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li
Context-aware query suggestion by mining click-through and session data 875-883
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Christine H. Chih, Douglass S. Parker
The persuasive phase of visualization 884-892
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Richard Chow, Philippe Golle, Jessica Staddon
Detecting privacy leaks using corpus-based association rules 893-901
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Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian M. Alexander, Steve B. Jiang
Learning methods for lung tumor markerless gating in image-guided radiotherapy 902-910
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Shantanu Godbole, Shourya Roy
Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry 911-919
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Robert L. Grossman, Yunhong Gu
Data mining using high performance data clouds: experimental studies using sector and sphere 920-927
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Shen-Shyang Ho, Ashit Talukder
Automated cyclone discovery and tracking using knowledge sharing in multiple heterogeneous satellite data 928-936
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Noam Koenigstein, Yuval Shavitt, Tomer Tankel
Spotting out emerging artists using geo-aware analysis of P2P query strings 937-945
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Prem Melville, Saharon Rosset, Richard D. Lawrence
Customer targeting models using actively-selected web content 946-953
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Fabian Mörchen, Mathäus Dejori, Dmitriy Fradkin, Julien Etienne, Bernd Wachmann, Markus Bundschus
Anticipating annotations and emerging trends in biomedical literature 954-962
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G. Niklas Norén, Andrew Bate, Johan Hopstadius, Kristina Star, I. Ralph Edwards
Temporal pattern discovery for trends and transient effects: its application to patient records 963-971
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Nish Parikh, Neel Sundaresan
Scalable and near real-time burst detection from eCommerce queries 972-980
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Renuka Sindhgatta
Identifying domain expertise of developers from source code 981-989
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Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, Zhong Su
ArnetMiner: extraction and mining of academic social networks 990-998
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Leonardo Weiss Ferreira Chaves, Erik Buchmann, Klemens Böhm
Tagmark: reliable estimations of RFID tags for business processes 999-1007
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Gang Wu, Brendan Kitts
Experimental comparison of scalable online ad serving 1008-1015
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Xintian Yang, Sitaram Asur, Srinivasan Parthasarathy, Sameep Mehta
A visual-analytic toolkit for dynamic interaction graphs 1016-1024
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Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene Alexander, Eric Reiman
Heterogeneous data fusion for alzheimer's disease study 1025-1033
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Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin
Privacy-preserving cox regression for survival analysis 1034-1042
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Sai Zeng, Prem Melville, Christian A. Lang, Ioana M. Boier-Martin, Conrad Murphy
Using predictive analysis to improve invoice-to-cash collection 1043-1050
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Yi Zhang, Arun C. Surendran, John C. Platt, Mukund Narasimhan
Learning from multi-topic web documents for contextual advertisement 1051-1059
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Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins
Social networks: looking ahead 1060
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Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
An inductive database prototype based on virtual mining views 1061-1064
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Peter Christen
Febrl -: an open source data cleaning, deduplication and record linkage system with a graphical user interface 1065-1068
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Luigi Di Caro, K. Selçuk Candan, Maria Luisa Sapino
Using tagflake for condensing navigable tag hierarchies from tag clouds 1069-1072
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Shantanu Godbole, Shourya Roy
An integrated system for automatic customer satisfaction analysis in the services industry 1073-1076
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Ming Hua, Jian Pei
DiMaC: a disguised missing data cleaning tool 1077-1080
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Evangelos E. Kotsifakos, Irene Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis
Pattern-Miner: integrated management and mining over data mining models 1081-1084
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Hongyan Liu, Hui Yang, Wenbo Li, Wei Wei, Jun He, Xiaoyong Du
CRO: a system for online review structurization 1085-1088
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Emmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl
Morpheus: interactive exploration of subspace clustering 1089-1092
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Hill Nguyen, Nish Parikh, Neel Sundaresan
A software system for buzz-based recommendations 1093-1096
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Shuyi Zheng, Matthew R. Scott, Ruihua Song, Ji-Rong Wen
Pictor: an interactive system for importing data from a website 1097-1100
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Copyright ©2010 Association for Computing Machinery
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