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Multidimensional data modeling for complex data
Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337), 1999Online Analytical Processing (OLAP) systems considerably ease the process of analyzing business data and have become widely used in industry. Such systems primarily employ multidimensional data models to structure their data. However current multidimensional data models fall short in their abilities to model the complex data found in some real world ...
Torben Bach Pedersen +1 more
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Common Data Model for Healthcare Data
2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2018There is a huge volume of data made openly available to the masses on Government data sites such as the www.data.gov.in. However, it is very difficult to make sense between data from two different data sets or different domains. As a result a lot of time is spent in just collecting and linking this data from various sources before it can be put to use.
Umair M. Khan +3 more
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Data modeling styles in data warehousing
2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014The paper presents a coordinated set of data modeling styles relevant for data warehouse design in the context of relational databases. The scope of presented models covers: a) entity relationship models of existing relational DB sources, b) logical data vault model for integrated enterprise data warehouses as a system of records, c) dimensional fact ...
Vladan M. Jovanovic +2 more
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2009
The Grid allows scientists to design and perform very large-scale experiments that are not possible previously. Many of these experiments produce a large number of data sets and significantly the amount of data being captured, generated, replicated and archived is growing at an astonishing rate.
Tim Ho, David Abramson 0001
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The Grid allows scientists to design and perform very large-scale experiments that are not possible previously. Many of these experiments produce a large number of data sets and significantly the amount of data being captured, generated, replicated and archived is growing at an astonishing rate.
Tim Ho, David Abramson 0001
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ACM Computing Surveys, 1988
Semantic data models have emerged from a requirement for more expressive conceptual data models. Current generation data models lack direct support for relationships, data abstraction, inheritance, constraints, unstructured objects, and the dynamic properties of an application.
Joan Peckham, Fred J. Maryanski
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Semantic data models have emerged from a requirement for more expressive conceptual data models. Current generation data models lack direct support for relationships, data abstraction, inheritance, constraints, unstructured objects, and the dynamic properties of an application.
Joan Peckham, Fred J. Maryanski
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ACM Transactions on Database Systems, 1993
We propose an object-oriented data model that generalizes the relational, hierarchical, and network models. A database scheme in this model is a directed graph, whose leaves represent data and whose internal nodes represent connections among the data. Instances are constructed from objects, which have separate names and values.
Kuper, Gabriel Mark, VARDI MOSHE
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We propose an object-oriented data model that generalizes the relational, hierarchical, and network models. A database scheme in this model is a directed graph, whose leaves represent data and whose internal nodes represent connections among the data. Instances are constructed from objects, which have separate names and values.
Kuper, Gabriel Mark, VARDI MOSHE
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2010
Reading and assimilating information in documents is a necessity of modern life. Literacy was once considered to be just the ability to read and write; but the term has evolved today to mean the ability to understand and employ printed information in daily activities, at home, at work and in the community.
Ron McFadyen, Susan Birdwise
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Reading and assimilating information in documents is a necessity of modern life. Literacy was once considered to be just the ability to read and write; but the term has evolved today to mean the ability to understand and employ printed information in daily activities, at home, at work and in the community.
Ron McFadyen, Susan Birdwise
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Information Sciences, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
James P. Held, John V. Carlis
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
James P. Held, John V. Carlis
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Proceedings of the 14th International Conference on Computer Systems and Technologies, 2013
In this paper the model PER (Process Entity Relationships) for semantic data modeling is presented, based on process and architectural approach. Terms, symbols and conventions used are explained. The levels of the model were described, and some example models are given.
Hristo Tujarov +2 more
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In this paper the model PER (Process Entity Relationships) for semantic data modeling is presented, based on process and architectural approach. Terms, symbols and conventions used are explained. The levels of the model were described, and some example models are given.
Hristo Tujarov +2 more
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2021
Time is an essential dimension of our perception of the world and hence an important dimension for the representation of the real and social world in data models. We give an overview of the basics of representing time in data models and representing objects and processes with respect to the temporal dimension.
Johann Eder +2 more
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Time is an essential dimension of our perception of the world and hence an important dimension for the representation of the real and social world in data models. We give an overview of the basics of representing time in data models and representing objects and processes with respect to the temporal dimension.
Johann Eder +2 more
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