14. KDD 2008: Las Vegas, Nevada, USA

• Benjamin Edelman, Michael Schwarz:
  Internet advertising and optimal auction design. 1
  
• Thore Graepel, Ralf Herbrich:
  Large scale data analysis and modelling in online services and advertising. 2
  
• Trevor Hastie, Jerome Friedman, Robert Tibshirani:
  Regularization paths and coordinate descent. 3
  
• Jitendra Malik:
  The future of image search. 4
  
• Udo Miletzki:
  Genesis of postal address reading, current state and future prospects: thirty years of pattern recognition on duty of postal services. 5-6
  

Research papers

• Aris Anagnostopoulos, Ravi Kumar, Mohammad Mahdian:
  Influence and correlation in social networks. 7-15
  
• Luca Becchetti, Paolo Boldi, Carlos Castillo, Aristides Gionis:
  Efficient semi-streaming algorithms for local triangle counting in massive graphs. 16-24
  
• Indrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi:
  Structured entity identification and document categorization: two tasks with one joint model. 25-33
  
• Albert Bifet, Ricard Gavaldà:
  Mining adaptively frequent closed unlabeled rooted trees in data streams. 34-42
  
• Mustafa Bilgic, Lise Getoor:
  Effective label acquisition for collective classification. 43-51
  
• Francesco Bonchi, Carlos Castillo, Debora Donato, Aristides Gionis:
  Topical query decomposition. 52-60
  
• Christos Boutsidis, Michael W. Mahoney, Petros Drineas:
  Unsupervised feature selection for principal components analysis. 61-69
  
• Justin Brickell, Vitaly Shmatikov:
  The cost of privacy: destruction of data-mining utility in anonymized data publishing. 70-78
  
• Deepayan Chakrabarti, Ravi Kumar, Kunal Punera:
  Generating succinct titles for web URLs. 79-87
  
• Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chiru Bhattacharyya:
  Structured learning for non-smooth ranking losses. 88-96
  
• Ming-wei Chang, Wen-tau Yih, Christopher Meek:
  Partitioned logistic regression for spam filtering. 97-105
  
• Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye:
  Learning subspace kernels for classification. 106-114
  
• WenYen Chen, Dong Zhang, Edward Y. Chang:
  Combinational collaborative filtering for personalized community recommendation. 115-123
  
• Xue-wen Chen, Michael Wasikowski:
  FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems. 124-132
  
• Haibin Cheng, Pang-Ning Tan:
  Semi-supervised learning with data calibration for long-term time series forecasting. 133-141
  
• Yong Ju Cho, Naren Ramakrishnan, Yang Cao:
  Reconstructing chemical reaction networks: data mining meets system identification. 142-150
  
• Peter Christen:
  Automatic record linkage using seeded nearest neighbour and support vector machine classification. 151-159
  
• 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
  
• Kaustav Das, Jeff G. Schneider, Daniel B. Neill:
  Anomaly pattern detection in categorical datasets. 169-176
  
• Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong:
  Bypass rates: reducing query abandonment using negative inferences. 177-185
  
• Anirban Dasgupta, Ravi Kumar, Amit Sasturkar:
  De-duping URLs via rewrite rules. 186-194
  
• Jason V. Davis, Inderjit S. Dhillon:
  Structured metric learning for high dimensional problems. 195-203
  
• Luc De Raedt, Tias Guns, Siegfried Nijssen:
  Constraint programming for itemset mining. 204-212
  
• Charles Elkan, Keith Noto:
  Learning classifiers from only positive and unlabeled data. 213-220
  
• Kave Eshghi, Shyamsundar Rajaram:
  Locality sensitive hash functions based on concomitant rank order statistics. 221-229
  
• 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
  
• George Forman, Shyamsundar Rajaram:
  Scaling up text classification for large file systems. 239-246
  
• Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamuro:
  SPIRAL: efficient and exact model identification for hidden Markov models. 247-255
  
• Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos:
  Using ghost edges for classification in sparsely labeled networks. 256-264
  
• Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanathan, Adam Smith:
  Composition attacks and auxiliary information in data privacy. 265-273
  
• Venkatesh Ganti, Arnd Christian König, Rares Vernica:
  Entity categorization over large document collections. 274-282
  
• Jing Gao, Wei Fan, Jing Jiang, Jiawei Han:
  Knowledge transfer via multiple model local structure mapping. 283-291
  
• Gemma C. Garriga, Esa Junttila, Heikki Mannila:
  Banded structure in binary matrices. 292-300
  
• Rohit Gupta, Gang Fang, Blayne Field, Michael Steinbach, Vipin Kumar:
  Quantitative evaluation of approximate frequent pattern mining algorithms. 301-309
  
• Robert Hall, Charles A. Sutton, Andrew McCallum:
  Unsupervised deduplication using cross-field dependencies. 310-317
  
• Meng Hu, Jiong Yang, Wei Su:
  Permu-pattern: discovery of mutable permutation patterns with proximity constraint. 318-326
  
• 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
  
• Woochang Hwang, Taehyong Kim, Murali Ramanathan, Aidong Zhang:
  Bridging centrality: graph mining from element level to group level. 336-344
  
• Saara Hyvönen, Pauli Miettinen, Evimaria Terzi:
  Interpretable nonnegative matrix decompositions. 345-353
  
• Georgiana Ifrim, Gökhan H. Bakir, Gerhard Weikum:
  Fast logistic regression for text categorization with variable-length n-grams. 354-362
  
• Tomoharu Iwata, Takeshi Yamada, Naonori Ueda:
  Probabilistic latent semantic visualization: topic model for visualizing documents. 363-371
  
• David D. Jensen, Andrew S. Fast, Brian J. Taylor, Marc E. Maier:
  Automatic identification of quasi-experimental designs for discovering causal knowledge. 372-380
  
• Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye:
  Extracting shared subspace for multi-label classification. 381-389
  
• Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, Jiawei Han:
  Mining preferences from superior and inferior examples. 390-398
  
• Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan:
  Effective and efficient itemset pattern summarization: regression-based approaches. 399-407
  
• 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
  
• Jerry Kiernan, Evimaria Terzi:
  Constructing comprehensive summaries of large event sequences. 417-425
  
• Yehuda Koren:
  Factorization meets the neighborhood: a multifaceted collaborative filtering model. 426-434
  
• Gueorgi Kossinets, Jon M. Kleinberg, Duncan J. Watts:
  The structure of information pathways in a social communication network. 435-443
  
• Hans-Peter Kriegel, Matthias Schubert, Arthur Zimek:
  Angle-based outlier detection in high-dimensional data. 444-452
  
• Srivatsan Laxman, Vikram Tankasali, Ryen W. White:
  Stream prediction using a generative model based on frequent episodes in event sequences. 453-461
  
• Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew Tomkins:
  Microscopic evolution of social networks. 462-470
  
• 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
  
• Charles X. Ling, Jun Du:
  Active learning with direct query construction. 480-487
  
• Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu:
  Spectral domain-transfer learning. 488-496
  
• Xu Ling, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Schatz:
  Mining multi-faceted overviews of arbitrary topics in a text collection. 497-505
  
• Aurelie C. Lozano, Naoki Abe:
  Multi-class cost-sensitive boosting with p-norm loss functions. 506-514
  
• Omid Madani, Jian Huang:
  On updates that constrain the features' connections during learning. 515-523
  
• Mary McGlohon, Leman Akoglu, Christos Faloutsos:
  Weighted graphs and disconnected components: patterns and a generator. 524-532
  
• Gabriela Moise, Jörg Sander:
  Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering. 533-541
  
• Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen:
  Joint latent topic models for text and citations. 542-550
  
• Nam Nguyen, Rich Caruana:
  Classification with partial labels. 551-559
  
• Dino Pedreschi, Salvatore Ruggieri, Franco Turini:
  Discrimination-aware data mining. 560-568
  
• Ian Porteous, David Newman, Alexander T. Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling:
  Fast collapsed gibbs sampling for latent dirichlet allocation. 569-577
  
• Hiroto Saigo, Nicole Krämer, Koji Tsuda:
  Partial least squares regression for graph mining. 578-586
  
• Issei Sato, Minoru Yoshida, Hiroshi Nakagawa:
  Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model. 587-595
  
• Mukund Seshadri, Sridhar Machiraju, Ashwin Sridharan, Jean Bolot, Christos Faloutsos, Jure Leskovec:
  Mobile call graphs: beyond power-law and lognormal distributions. 596-604
  
• Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos Anerousis:
  Efficient ticket routing by resolution sequence mining. 605-613
  
• Victor S. Sheng, Foster J. Provost, Panagiotis G. Ipeirotis:
  Get another label? improving data quality and data mining using multiple, noisy labelers. 614-622
  
• Jin Shieh, Eamonn J. Keogh:
  iSAX: indexing and mining terabyte sized time series. 623-631
  
• Ka Cheung Sia, Junghoo Cho, Yun Chi, Belle L. Tseng:
  Efficient computation of personal aggregate queries on blogs. 632-640
  
• György J. Simon, Vipin Kumar, Zhi-Li Zhang:
  Semi-supervised approach to rapid and reliable labeling of large data sets. 641-649
  
• Ajit Paul Singh, Geoffrey J. Gordon:
  Relational learning via collective matrix factorization. 650-658
  
• Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums:
  A bayesian mixture model with linear regression mixing proportions. 659-667
  
• Liang Sun, Shuiwang Ji, Jieping Ye:
  Hypergraph spectral learning for multi-label classification. 668-676
  
• Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri:
  Community evolution in dynamic multi-mode networks. 677-685
  
• Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos:
  Colibri: fast mining of large static and dynamic graphs. 686-694
  
• 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
  
• Daniel David Walker, Eric K. Ringger:
  Model-based document clustering with a collapsed gibbs sampler. 704-712
  
• Pu Wang, Carlotta Domeniconi:
  Building semantic kernels for text classification using wikipedia. 713-721
  
• Michael L. Wick, Khashayar Rohanimanesh, Karl Schultz, Andrew McCallum:
  A unified approach for schema matching, coreference and canonicalization. 722-730
  
• Fei Wu, Raphael Hoffmann, Daniel S. Weld:
  Information extraction from Wikipedia: moving down the long tail. 731-739
  
• Junjie Wu, Hui Xiong, Jian Chen:
  SAIL: summation-based incremental learning for information-theoretic clustering. 740-748
  
• 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
  
• Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dragan:
  Succinct summarization of transactional databases: an overlapped hyperrectangle scheme. 758-766
  
• Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu:
  Anonymizing transaction databases for publication. 767-775
  
• Jian Yang, Ning Zhong, Yiyu Yao, Jue Wang:
  Local peculiarity factor and its application in outlier detection. 776-784
  
• 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
  
• Chun-Nam John Yu, Thorsten Joachims:
  Training structural svms with kernels using sampled cuts. 794-802
  
• Lei Yu, Chris H. Q. Ding, Steven Loscalzo:
  Stable feature selection via dense feature groups. 803-811
  
• Peng Zhang, Xingquan Zhu, Yong Shi:
  Categorizing and mining concept drifting data streams. 812-820
  
• Xiang Zhang, Fei Zou, Wei Wang:
  Fastanova: an efficient algorithm for genome-wide association study. 821-829
  
• Bin Zhao, Fei Wang, Changshui Zhang:
  Cuts3vm: a fast semi-supervised svm algorithm. 830-838
  
• Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Yung Chang:
  Identifying biologically relevant genes via multiple heterogeneous data sources. 839-847
  
• Wenjun Zhou, Hui Xiong:
  Volatile correlation computation: a checkpoint view. 848-856
  

Industrial papers

• Shyam Boriah, Vipin Kumar, Michael Steinbach, Christopher Potter, Steven A. Klooster:
  Land cover change detection: a case study. 857-865
  
• Mohamed Bouguessa, Benoît Dumoulin, Shengrui Wang:
  Identifying authoritative actors in question-answering forums: the case of Yahoo! answers. 866-874
  
• 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
  
• Christine H. Chih, Douglass S. Parker:
  The persuasive phase of visualization. 884-892
  
• Richard Chow, Philippe Golle, Jessica Staddon:
  Detecting privacy leaks using corpus-based association rules. 893-901
  
• 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
  
• Shantanu Godbole, Shourya Roy:
  Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry. 911-919
  
• Robert L. Grossman, Yunhong Gu:
  Data mining using high performance data clouds: experimental studies using sector and sphere. 920-927
  
• Shen-Shyang Ho, Ashit Talukder:
  Automated cyclone discovery and tracking using knowledge sharing in multiple heterogeneous satellite data. 928-936
  
• Noam Koenigstein, Yuval Shavitt, Tomer Tankel:
  Spotting out emerging artists using geo-aware analysis of P2P query strings. 937-945
  
• Prem Melville, Saharon Rosset, Richard D. Lawrence:
  Customer targeting models using actively-selected web content. 946-953
  
• Fabian Mörchen, Mathäus Dejori, Dmitriy Fradkin, Julien Etienne, Bernd Wachmann, Markus Bundschus:
  Anticipating annotations and emerging trends in biomedical literature. 954-962
  
• 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
  
• Nish Parikh, Neel Sundaresan:
  Scalable and near real-time burst detection from eCommerce queries. 972-980
  
• Renuka Sindhgatta:
  Identifying domain expertise of developers from source code. 981-989
  
• Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, Zhong Su:
  ArnetMiner: extraction and mining of academic social networks. 990-998
  
• Leonardo Weiss Ferreira Chaves, Erik Buchmann, Klemens Böhm:
  Tagmark: reliable estimations of RFID tags for business processes. 999-1007
  
• Gang Wu, Brendan Kitts:
  Experimental comparison of scalable online ad serving. 1008-1015
  
• Xintian Yang, Sitaram Asur, Srinivasan Parthasarathy, Sameep Mehta:
  A visual-analytic toolkit for dynamic interaction graphs. 1016-1024
  
• Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene E. Alexander, Eric Reiman:
  Heterogeneous data fusion for alzheimer's disease study. 1025-1033
  
• 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
  
• Sai Zeng, Prem Melville, Christian A. Lang, Ioana M. Boier-Martin, Conrad Murphy:
  Using predictive analysis to improve invoice-to-cash collection. 1043-1050
  
• Yi Zhang, Arun C. Surendran, John C. Platt, Mukund Narasimhan:
  Learning from multi-topic web documents for contextual advertisement. 1051-1059
  

Panel

• Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins:
  Social networks: looking ahead. 1060
  

Demonstrations

• Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
  An inductive database prototype based on virtual mining views. 1061-1064
  
• Peter Christen:
  Febrl -: an open source data cleaning, deduplication and record linkage system with a graphical user interface. 1065-1068
  
• Luigi Di Caro, K. Selçuk Candan, Maria Luisa Sapino:
  Using tagflake for condensing navigable tag hierarchies from tag clouds. 1069-1072
  
• Shantanu Godbole, Shourya Roy:
  An integrated system for automatic customer satisfaction analysis in the services industry. 1073-1076
  
• Ming Hua, Jian Pei:
  DiMaC: a disguised missing data cleaning tool. 1077-1080
  
• Evangelos E. Kotsifakos, Irene Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis:
  Pattern-Miner: integrated management and mining over data mining models. 1081-1084
  
• Hongyan Liu, Hui Yang, Wenbo Li, Wei Wei, Jun He, Xiaoyong Du:
  CRO: a system for online review structurization. 1085-1088
  
• Emmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl:
  Morpheus: interactive exploration of subspace clustering. 1089-1092
  
• Hill Nguyen, Nish Parikh, Neel Sundaresan:
  A software system for buzz-based recommendations. 1093-1096
  
• Shuyi Zheng, Matthew R. Scott, Ruihua Song, Ji-Rong Wen:
  Pictor: an interactive system for importing data from a website. 1097-1100
  

Last update Sun May 19 23:06:21 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page