Results 271 to 280 of about 140,074 (315)
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Sort sets in the relational model
Proceedings of the 2nd ACM SIGACT-SIGMOD symposium on Principles of database systems - PODS '83, 1983The notion ofsort setis introduced here to formalize the fact that certain database relations can be sorted so that two or more columns are simultaneously listed in order. This notion is shown to be applicable in several ways to enhance the efficiency of an implemented database.
Seymour Ginsburg, Richard Hull 0001
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2005
We will outline some of the important problems of extending the relational model for processing statistical data bases. We achieve this by augmenting to relational algebra few more numerical operations without altering the relational algebra. This algebra is referred to as statistical relational algebra.
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We will outline some of the important problems of extending the relational model for processing statistical data bases. We achieve this by augmenting to relational algebra few more numerical operations without altering the relational algebra. This algebra is referred to as statistical relational algebra.
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Injective Models and Disjunctive Relations
Journal of Logic and Computation, 1993The main purpose of this paper is to characterize the nonmonotonic inference relations that can be represented by preferential models in which distinct states never satisfy exactly the same formulae (``injective models''). The key tool is the author's concept of ``preferential orderings''.
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Relational Models for the Modal Syllogistic*
Journal of Philosophical Logic, 1997Suppose that for every term \(x\) in Aristotle's syllogistic there are some things that are actually-\(x\), some that are necessarily-\(x\), and some that are possibly-\(x\). Label these extensions \(|x|\), \(|x^\square |\), and \(|x^\lozenge |\). And suppose further that \(|x^\square |\subseteq|x|\subseteq |x^\lozenge |\).
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Probabilistic Relational Models
1999Probabilistic models provide a sound and coherent foundation for dealing with the noise and uncertainty encountered in most real-world domains. Bayesian networks are a language for representing complex probabilistic models in a compact and natural way.
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2014
This chapter introduces you to the fundamental principles and concepts upon which subsequent chapters will be built. Discussion advances under the following captions:
Elvis C. Foster, Shripad Godbole
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This chapter introduces you to the fundamental principles and concepts upon which subsequent chapters will be built. Discussion advances under the following captions:
Elvis C. Foster, Shripad Godbole
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Graphical Models for Relations - Modeling Relational Context.
Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, 2011Tresp, V. +3 more
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Systems Research, 1988
AbstractSome conceptual problems which are related to the way data (i.e. empirical information) are represented in model building are discussed. Elements of a framework for modelling are proposed in which a constructive relationship between the data and the modelling relation itself is incorporated.
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AbstractSome conceptual problems which are related to the way data (i.e. empirical information) are represented in model building are discussed. Elements of a framework for modelling are proposed in which a constructive relationship between the data and the modelling relation itself is incorporated.
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2017
Science can be understood as a vast repository of models. Given a natural system, one may select the models that are most appropriate for whichever purpose one has in mind. Eventually, one can tweak the model as needed. This conception lies at the heart of the Newtonian way of doing science, and it underpins our understanding of science and modeling as
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Science can be understood as a vast repository of models. Given a natural system, one may select the models that are most appropriate for whichever purpose one has in mind. Eventually, one can tweak the model as needed. This conception lies at the heart of the Newtonian way of doing science, and it underpins our understanding of science and modeling as
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1977
A relation is a mathematical term for a two-dimensional table such as the one shown in figure 3.15. It is characterised by rows and columns, each entry there being a data item value. The reason for calling this a relation rather than a matrix lies in the lack of homogeneity in its entries — the entries are homogeneous in the columns but not in the rows.
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A relation is a mathematical term for a two-dimensional table such as the one shown in figure 3.15. It is characterised by rows and columns, each entry there being a data item value. The reason for calling this a relation rather than a matrix lies in the lack of homogeneity in its entries — the entries are homogeneous in the columns but not in the rows.
openaire +1 more source