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Items where Project is "Miscellaneous" and Year is 2006
Jump to: An Introduction to ULDBs and the Trio System | Bufoosh: Buffering Algorithms for Generic Entity Resolution | Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems | D-Swoosh: A Family of Algorithms for Generic, Distributed Entity Resolution | Generic Entity Resolution in the SERF Project | Link Spam Detection Based on Mass Estimation | P-Swoosh: Parallel Algorithm for Generic Entity Resolution | Trio: A System for Data, Uncertainty, and Lineage | Web Content Categorization Using Link Information | What is Your Software Worth? (full version) | k-means++: The Advantages of Careful Seeding Number of items: 11.
An Introduction to ULDBs and the Trio SystemBenjelloun, Omar and Das Sarma, Anish and Hayworth, Chris and Widom, Jennifer (2006) An Introduction to ULDBs and the Trio System. Technical Report. Stanford InfoLab. (Publication Note: IEEE Data Engineering Bulletin, March 2006) Bufoosh: Buffering Algorithms for Generic Entity ResolutionKawai, Hideki and Garcia-Molina, Hector and Benjelloun, Omar and Larson, Tait and Menestrina, David and Thavisomboon, Suttipong (2006) Bufoosh: Buffering Algorithms for Generic Entity Resolution. Technical Report. Stanford. Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging SystemsHeymann, Paul and Garcia-Molina, Hector (2006) Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems. Technical Report. Stanford. D-Swoosh: A Family of Algorithms for Generic, Distributed Entity ResolutionBenjelloun, Omar and Garcia-Molina, Hector and Kawai, Hideki and Larson, Tait and Menestrina, David and Thavisomboon, Sutthipong (2006) D-Swoosh: A Family of Algorithms for Generic, Distributed Entity Resolution. Technical Report. Stanford. Generic Entity Resolution in the SERF ProjectBenjelloun, Omar and Garcia-Molina, Hector and Kawai, Hideki and Larson, Tait Eliott and Menestrina, David and Su, Qi and Thavisomboon, Sutthipong and Widom, Jennifer (2006) Generic Entity Resolution in the SERF Project. Technical Report. Stanford InfoLab. (Publication Note: IEEE Data Engineering Bulletin, June 2006) Link Spam Detection Based on Mass EstimationGyongyi, Zoltan and Berkhin, Pavel and Garcia-Molina, Hector and Pedersen, Jan (2006) Link Spam Detection Based on Mass Estimation. In: 32nd International Conference on Very Large Data Bases (VLDB 2006), September 12-15, 2006, Seoul, Korea. P-Swoosh: Parallel Algorithm for Generic Entity ResolutionKawai, Hideki and Garcia-Molina, Hector and Benjelloun, Omar and Menestrina, David and Whang, Euijong and Gong, Heng (2006) P-Swoosh: Parallel Algorithm for Generic Entity Resolution. Technical Report. Stanford. Trio: A System for Data, Uncertainty, and LineageAgrawal, Parag and Benjelloun, Omar and Das Sarma, Anish and Hayworth, Chris and Nabar, Shubha and Sugihara, Tomoe and Widom, Jennifer (2006) Trio: A System for Data, Uncertainty, and Lineage. In: 32nd International Conference on Very Large Data Bases. VLDB 2006 (demonstration description), September 12-15, 2006, Seoul, Korea. Web Content Categorization Using Link InformationGyongyi, Zoltan and Garcia-Molina, Hector and Pedersen, Jan (2006) Web Content Categorization Using Link Information. Technical Report. Stanford. What is Your Software Worth? (full version)Wiederhold, Gio (2006) What is Your Software Worth? (full version). Comm. of the ACM, 49 (9). pp. 65-75. k-means++: The Advantages of Careful SeedingArthur, David and Vassilvitskii, Sergei (2006) k-means++: The Advantages of Careful Seeding. Technical Report. Stanford. |
