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Publication search results
found 115 matches
- 2007
- Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian:
Estimating rates of rare events at multiple resolutions. KDD 2007: 16-25 - Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava:
Efficient and effective explanation of change in hierarchical summaries. KDD 2007: 6-15 - Deepak Agarwal, Srujana Merugu:
Predictive discrete latent factor models for large scale dyadic data. KDD 2007: 26-35 - Charu C. Aggarwal:
A framework for classification and segmentation of massive audio data streams. KDD 2007: 1013-1017 - Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki:
Xproj: a framework for projected structural clustering of xml documents. KDD 2007: 46-55 - Charu C. Aggarwal, Philip S. Yu:
On string classification in data streams. KDD 2007: 36-45 - Chris Anderson:
Calculating latent demand in the long tail. KDD 2007: 1 - Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeirotis:
Show me the money!: deriving the pricing power of product features by mining consumer reviews. KDD 2007: 56-65 - Andrew Arnold, Yan Liu, Naoki Abe:
Temporal causal modeling with graphical granger methods. KDD 2007: 66-75 - Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar:
An event-based framework for characterizing the evolutionary behavior of interaction graphs. KDD 2007: 913-921 - Ricardo A. Baeza-Yates, Alessandro Tiberi:
Extracting semantic relations from query logs. KDD 2007: 76-85 - Hila Becker, Marta Arias:
Real-time ranking with concept drift using expert advice. KDD 2007: 86-94 - Robert M. Bell, Yehuda Koren, Chris Volinsky:
Modeling relationships at multiple scales to improve accuracy of large recommender systems. KDD 2007: 95-104 - Deepavali Bhagwat, Kave Eshghi, Pankaj Mehra:
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus. KDD 2007: 105-112 - Rebecca Castaño, Kiri Wagstaff, Steve A. Chien, Timothy M. Stough, Benyang Tang:
On-board analysis of uncalibrated data for a spacecraft at mars. KDD 2007: 922-930 - Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C. Sachdeo:
Support feature machine for classification of abnormal brain activity. KDD 2007: 113-122 - Yixin Chen, Li Tu:
Density-based clustering for real-time stream data. KDD 2007: 133-142 - Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu:
Nonlinear adaptive distance metric learning for clustering. KDD 2007: 123-132 - Peter A. Chew, Brett W. Bader, Tamara G. Kolda, Ahmed Abdelali:
Cross-language information retrieval using PARAFAC2. KDD 2007: 143-152 - Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng:
Evolutionary spectral clustering by incorporating temporal smoothness. KDD 2007: 153-162 - Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tatemura, Belle L. Tseng:
Structural and temporal analysis of the blogosphere through community factorization. KDD 2007: 163-172 - Sumit Chopra, Trivikraman Thampy, John Leahy, Andrew Caplin, Yann LeCun:
Discovering the hidden structure of house prices with a non-parametric latent manifold model. KDD 2007: 173-182 - Paul Cotofrei, Kilian Stoffel:
Stochastic processes and temporal data mining. KDD 2007: 183-190 - Daniel Crabtree, Peter Andreae, Xiaoying Gao:
Exploiting underrepresented query aspects for automatic query expansion. KDD 2007: 191-200 - Aron Culotta, Michael L. Wick, Robert J. Hall, Matthew Marzilli, Andrew McCallum:
Canonicalization of database records using adaptive similarity measures. KDD 2007: 201-209 - Chris Curry, Robert L. Grossman, David Locke, Steve Vejcik, Joseph Bugajski:
Detecting changes in large data sets of payment card data: a case study. KDD 2007: 1018-1022 - Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu:
Co-clustering based classification for out-of-domain documents. KDD 2007: 210-219 - Kaustav Das, Jeff G. Schneider:
Detecting anomalous records in categorical datasets. KDD 2007: 220-229 - Anirban Dasgupta, Petros Drineas, Boulos Harb, Vanja Josifovski, Michael W. Mahoney:
Feature selection methods for text classification. KDD 2007: 230-239 - Ian Davidson, S. S. Ravi, Martin Ester:
Efficient incremental constrained clustering. KDD 2007: 240-249
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retrieved on 2024-06-07 00:29 CEST from data curated by the dblp team
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