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Probabilistic Skyline on Incomplete Data
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017The skyline query is important in database community. In recent years, the researches on incomplete data have been increasingly considered, especially for the skyline query. However, the existing skyline definition on incomplete data cannot provide users with valuable references.
Kaiqi Zhang 0001 +4 more
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Incomplete data management: a survey
Frontiers of Computer Science, 2017Incomplete data accompanies our life processes and covers almost all fields of scientific studies, as a result of delivery failure, no power of battery, accidental loss, etc. However, how to model, index, and query incomplete data incurs big challenges.
Xiaoye Miao +3 more
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Incompleteness in Conceptual Data Modelling
2013Although conceptual data modelers can ”get creative” when designing entities and relationships to meet business requirements, they are highly constrained by the business rules which determine the details of how the entities and relationships combine. Typically, there is a delay in realising which business rules might be relevant and a further delay in ...
Peter Thanisch +5 more
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2015
Incomplete data are common in empirical research. The default solutions in software packages are very simplistic; the default is generally listwise deletion where a case with any variable missing is completely removed from the analysis. In multilevel data, missing values at the group level can be a serious problem.
Hox, J., van Buuren, S., Jolani, Shahab
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Incomplete data are common in empirical research. The default solutions in software packages are very simplistic; the default is generally listwise deletion where a case with any variable missing is completely removed from the analysis. In multilevel data, missing values at the group level can be a serious problem.
Hox, J., van Buuren, S., Jolani, Shahab
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ON CLASSIFICATION FOR INCOMPLETE MULTINORMAL DATA
Communications in Statistics - Simulation and Computation, 1973Using statistics proposed by Hocking and Smith (JASA (1968), 63, 159-173) a multinormal observation vector is classified into one of two normal populations whose mean vectors and covariance matrices are unknown, where the data used for estimation contains both full and partial records.
Smith, W. B., Zeis, C. D.
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On decomposition for incomplete data
Fundam. Informaticae, 2003Summary: In this paper we present a method of data decomposition to avoid the necessity of reasoning on data with missing attribute values. This method can be applied to any algorithm of classifier induction. The original incomplete data is decomposed into data subsets without missing values.
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Concept Lattices of Incomplete Data
2012We present a method of constructing a concept lattice of a formal context with incomplete data. The lattice reduces to a classical concept lattice when the missing values are completed. The lattice also can reflect any known dependencies between the missing values.
Michal Krupka, Jan Lastovicka
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A Selective Classifier for Incomplete Data
2008Classifiers based on feature selection (selective classifiers) are a kind of algorithms that can effectively improve the accuracy and efficiency of classification by deleting irrelevant or redundant attributes of a data set. Due to the complexity of processing incomplete data, however, most of them deal with complete data.
Jingnian Chen +3 more
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Generating Incomplete Data with DataZapper
2010A nearly universal problem with real data is that they are incomplete, with some values missing. Furthermore, the ways in which values can go missing are quite varied, with arbitrary interdependencies between variables and their values leading to missing values.
Yingying Wen +2 more
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A Study of Incomplete Data – A Review
2014Incomplete data are questions without answers or variables without observations. Even a small percentage of missing data can cause serious problems with the analysis leading to draw wrong conclusions and imperfect knowledge. There are many techniques to overcome the imperfect knowledge and manage data with incomplete items, but no one is absolutely ...
Sasanko Sekhar Gantayat +2 more
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