Query Processing over Incomplete Autonomous Databases
暂无分享,去创建一个
Subbarao Kambhampati | Yi Chen | Jianchun Fan | Hemal Khatri | Garrett Wolf | Bhaumik Chokshi | S. Kambhampati | H. Khatri | Jianchun Fan | G. Wolf | Yi Chen | Bhaumik Chokshi
[1] Subbarao Kambhampati,et al. Answering Imprecise Queries over Autonomous Web Databases , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[2] Chian-Huei Wun,et al. Using association rules for completing missing data , 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).
[3] Dan Suciu,et al. Foundations of probabilistic answers to queries , 2005, SIGMOD '05.
[4] Alon Y. Halevy,et al. Adapting to source properties in processing data integration queries , 2004, SIGMOD '04.
[6] Leopoldo E. Bertossi,et al. Consistent query answering in databases , 2006, SGMD.
[7] Wenfei Fan,et al. Conditional Functional Dependencies for Data Cleaning , 2007, 2007 IEEE 23rd International Conference on Data Engineering.
[8] Jean-Marc Petit,et al. Functional and approximate dependency mining: database and FCA points of view , 2002, J. Exp. Theor. Artif. Intell..
[9] Rosine Cicchetti,et al. FUN: An Efficient Algorithm for Mining Functional and Embedded Dependencies , 2001, ICDT.
[10] Tomasz Imielinski,et al. Incomplete Information in Relational Databases , 1984, JACM.
[11] Wenfei Fan,et al. Dependencies revisited for improving data quality , 2008, PODS.
[12] C. Koch,et al. Worlds and Beyond : Effcient Representation and Processing of Incomplete Information , 2007 .
[13] Gustavo E. A. P. A. Batista,et al. A Study of K-Nearest Neighbour as an Imputation Method , 2002, HIS.
[14] D. Rubin,et al. Statistical Analysis with Missing Data. , 1989 .
[15] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[16] Paul Brown,et al. CORDS: automatic discovery of correlations and soft functional dependencies , 2004, SIGMOD '04.
[17] Gultekin Özsoyoglu,et al. Incomplete Relational Database Models Based on Intervals , 1993, IEEE Trans. Knowl. Data Eng..
[18] Val Tannen,et al. Models for Incomplete and Probabilistic Information , 2006, IEEE Data Eng. Bull..
[19] Leonid Libkin,et al. Data exchange and incomplete information , 2006, PODS '06.
[20] David Heckerman,et al. A Tutorial on Learning with Bayesian Networks , 1999, Innovations in Bayesian Networks.
[21] Paola Sebastiani,et al. Robust Learning with Missing Data , 2001, Machine Learning.
[22] Witold Lipski,et al. On semantic issues connected with incomplete information databases , 1979, ACM Trans. Database Syst..
[23] Surajit Chaudhuri,et al. Leveraging aggregate constraints for deduplication , 2007, SIGMOD '07.
[24] Hemal Khatri. QUERY PROCESSING OVER INCOMPLETE AUTONOMOUS WEB DATABASES , 2006 .
[25] Pedro M. Domingos,et al. Reconciling schemas of disparate data sources: a machine-learning approach , 2001, SIGMOD '01.
[26] Dan Olteanu,et al. $${10^{(10^{6})}}$$ worlds and beyond: efficient representation and processing of incomplete information , 2006, 2007 IEEE 23rd International Conference on Data Engineering.
[27] Jennifer Widom,et al. Trio: A System for Integrated Management of Data, Accuracy, and Lineage , 2004, CIDR.
[28] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[29] Subbarao Kambhampati,et al. QPIAD: Query Processing over Incomplete Autonomous Databases , 2007, 2007 IEEE 23rd International Conference on Data Engineering.
[30] Jayant Madhavan,et al. Structured Data Meets the Web: A Few Observations , 2006, IEEE Data Eng. Bull..
[31] Hannu Toivonen,et al. TANE: An Efficient Algorithm for Discovering Functional and Approximate Dependencies , 1999, Comput. J..
[32] Jean-Marc Petit,et al. Efficient Discovery of Functional Dependencies and Armstrong Relations , 2000, EDBT.
[33] Walid G. Aref,et al. Supporting top-kjoin queries in relational databases , 2004, The VLDB Journal.
[34] Howard J. Hamilton,et al. Mining functional dependencies from data , 2007, Data Mining and Knowledge Discovery.
[35] Sunil Prabhakar,et al. Evaluating probabilistic queries over imprecise data , 2003, SIGMOD '03.
[36] Dan Suciu,et al. Management of probabilistic data: foundations and challenges , 2007, PODS '07.
[37] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[38] Ion Muslea,et al. Online Query Relaxation via Bayesian Causal Structures Discovery , 2005, AAAI.
[39] Edward L. Robertson,et al. FastFDs: A Heuristic-Driven, Depth-First Algorithm for Mining Functional Dependencies from Relation Instances - Extended Abstract , 2001, DaWaK.
[40] Bei Yu,et al. On generating near-optimal tableaux for conditional functional dependencies , 2008, Proc. VLDB Endow..
[41] Dan Olteanu,et al. 10106 Worlds and Beyond: Efficient Representation and Processing of Incomplete Information , 2007, ICDE.
[42] Hannu Toivonen,et al. Efficient discovery of functional and approximate dependencies using partitions , 1998, Proceedings 14th International Conference on Data Engineering.
[43] Val Tannen,et al. An Equational Chase for Path-Conjunctive Queries, Constraints, and Views , 1999, ICDT.
[44] Heikki Mannila,et al. Approximate Dependency Inference from Relations , 1992, ICDT.
[45] Dan Suciu,et al. Efficient query evaluation on probabilistic databases , 2004, The VLDB Journal.
[46] Rahul Gupta,et al. Creating probabilistic databases from information extraction models , 2006, VLDB.
[47] Aravind Kalavagattu. MINING APPROXIMATE FUNCTIONAL DEPENDENCIES AS CONDENSED REPRESENTATIONS OF ASSOCIATION RULES , 2008 .
[48] Jennifer Widom,et al. Working Models for Uncertain Data , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[49] T. S. Jayram,et al. OLAP over uncertain and imprecise data , 2007, The VLDB Journal.
[50] Renée J. Miller,et al. ConQuer: efficient management of inconsistent databases , 2005, SIGMOD '05.
[51] Renée J. Miller,et al. Clean Answers over Dirty Databases: A Probabilistic Approach , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[52] Maurizio Lenzerini,et al. Source inconsistency and incompleteness in data integration , 2002, KRDB.
[53] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..
[54] Dan Suciu,et al. Answering Queries from Statistics and Probabilistic Views , 2005, VLDB.