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A Logical Temporal Relational Data Model [article]

Nadeem Mahmood, Aqil Burney, Kamran Ahsan
2010 arXiv   pre-print
Relational database management systems proposed by Codd offer very little built-in query language support for temporal data management.  ...  We propose a conceptual model for handling time varying attributes in the relational database model with minimal temporal attributes.  ...  Third section gives an overview of proposed logical temporal data model. Most of the work is related to the semantics and the logical modeling of temporal data [17] , [35] .  ... 
arXiv:1002.1143v2 fatcat:wdz32kfcrjdzvhowjpdgun26ay

References and Bibliography [chapter]

2003 Temporal Data & the Relational Model  
Liu, 1992: Cirrus-cloud thermostat for tropical sea surface temperatures tested using satellite data. Nature, 358, 394-397.  ...  Rutledge, 1996: Liquid and ice cloud microphysics in the CSU general circulation model. Part I: Model description and results of a baseline simulation. J. Climate, 9, 489-529.  ... 
doi:10.1016/b978-155860855-9/50069-6 fatcat:cayjxvouh5hi3ihtoj3zf6favi


Sebastian Łacheciński
2017 Informatyka Ekonomiczna  
Summary: This article presents a problem of changes modeling which occurs over time, in mapping to relational data model.  ...  This issue is particularly important wherever not only always current data, but also historical data should be stored in the database.  ...  Cykliczny model czasu Źródło: opracowanie własne. Rys. 6. Spiralny model czasu Źródło: opracowanie własne.  ... 
doi:10.15611/ie.2017.4.08 fatcat:6yhgvvw3qjhmjh7neq5qnbm3va

Relational model of temporal data based on 6th normal form

2017 Tehnički Vjesnik  
Temporal Data and Relational Modelling. Temporal data is data that represents a state in time while temporal database is a database with built-in support for handling data involving time.  ...  Most of temporal systems provide sufficient temporal features, but the relational models are improperly normalized, and modelling approaches are missing or unconvincing.  ...  -C 12 (Relational model of temporal data based on 6NF): Model is a set of concepts.  ... 
doi:10.17559/tv-20160425214024 fatcat:nruphmnqmrfzfku3nlpksz2o7m

Exploring Spatio-Temporal Data Modeled as Dynamic Weighted Relations

Michael Burch, Michael Raschke, Daniel Weiskopf
2013 Deutsche Jahrestagung für Künstliche Intelligenz  
Such data can be modeled as a dynamic graph that expresses the transitions of gaze positions between Areas of Interest (AOIs) by time-varying weighted relations.  ...  Eye tracking studies lead to spatio-temporal data in the form of gaze trajectories that show the behavior of gaze positions over time.  ...  By using the AOI information and the gaze trajectories this data can be modeled as a dynamic weighted compound AOI digraph.  ... 
dblp:conf/ki/BurchRW13 fatcat:ypoog4yx7bablepzcecmgikiq4

Retrieval Optimization Technique for Tuple Timestamp Historical Relation Temporal Data Model

2012 Journal of Computer Science  
TRA is involved to help querying temporal database that is modeled using Tuple Timestamp Historical Relation (TTHR) Model.  ...  Problem statement: In the field of database technology, Recoding time related data are referred to as temporal databases.  ...  Some of the approaches of developing temporal data model suggested extending the standard relational data model so that it supports time varying data and the other approaches are based on extending the  ... 
doi:10.3844/jcssp.2012.243.250 fatcat:5ndxopi7erdjbndq5v2jg24ycy

Object-Relational Representation of a Conceptual Model for Temporal Data Warehouses [chapter]

E. Malinowski, E. Zimányi
2006 Lecture Notes in Computer Science  
Temporal Data Warehouses (TDWs) allow to manage timevarying multidimensional data by joining the research of Temporal Databases and Data Warehouses.  ...  In this paper, we present a mapping transforming our conceptual model for TDW design into the conventional ER and an object-relational models.  ...  Conclusions The temporally-extended MultiDimER model [6, 8] is used for modeling timevarying data for DW applications.  ... 
doi:10.1007/11767138_8 fatcat:wevoenj26vhidguwlospz55sd4

Valid-Time Indeterminacy in Temporal Relational Databases: A Family of Data Models

Luca Anselma, Paolo Terenziani, Richard T. Snodgrass
2010 2010 17th International Symposium on Temporal Representation and Reasoning  
Finally, we compare these compact models along several relevant dimensions. Keywords-temporal relational database; valid-time indeterminacy; data models and algebras I.  ...  In this paper, we first propose a reference approach (data model and algebra) in which all possible temporal scenarios induced by valid-time indeterminacy can be extensionally modeled.  ...  1 For example, Allen [1] devised a reference approach (the Interval Algebra) for representing and reasoning with qualitative relations about periods.  ... 
doi:10.1109/time.2010.15 dblp:conf/time/AnselmaTS10 fatcat:cmdbu6vsrneehh2ip65zs3k4dy

Algebraic identities and query optimization in a parametric model for relational temporal databases

S.K. Gadia, S.S. Nair
1998 IEEE Transactions on Knowledge and Data Engineering  
Relational algebra, algebraic optimization, temporal databases, query optimization, relational model. 1. The parametric model also extends to belief data.  ...  This paper presents algebraic identities and algebraic query optimization for a parametric model for temporal databases. The parametric model has several features not present in the classical model.  ...  The parametric model extends to spatial data, where an empty key is of special interest.  ... 
doi:10.1109/69.729733 fatcat:zi5ydfivznamnmkjscwwj5ud6y

Predicting influenza-like illness-related emergency department visits by modelling spatio-temporal syndromic surveillance data

L. J. Martin, H. Dong, Q. Liu, J. Talbot, W. Qiu, Y. Yasui
2019 Epidemiology and Infection  
August 2008–19 February 2014) spatio-temporal statistical prediction models of daily ILI-related ED visits to estimate high visit volumes 3 days in advance.  ...  Using ILI-related ED visit data from the Alberta Real Time Syndromic Surveillance Net for Edmonton, Alberta, Canada, we developed (training data, 1 August 2004–31 July 2008) and tested (testing data, 1  ...  We thank the members of the Alberta Real-Time Syndromic Surveillance Net (ARTSSN), especially Rita Biel for help with the data and Bryan Wicentowich for data extraction, Shihe Fan, Adrienne MacDonald,  ... 
doi:10.1017/s0950268819001948 pmid:31787127 pmcid:PMC7003624 fatcat:tf335gw4bbfxnl5v3hvkvxzrhe

Modeling the Temporal Dynamics of Social Rating Networks Using Bidirectional Effects of Social Relations and Rating Patterns

Mohsen Jamali, Gholamreza Haffari, Martin Ester
2010 2010 IEEE International Conference on Data Mining Workshops  
Then, we model the temporal dynamics of an SRN based on our observations, using the bidirectional effects of ratings and social relations.  ...  In this paper, we first observe and analyze the temporal behavior of users in a social rating network, who express ratings and create social relations.  ...  MODELING THE TEMPORAL DYNAM-ICS OF SRNS In this section we exploit our observations and analysis to model the temporal dynamics of social rating networks.  ... 
doi:10.1109/icdmw.2010.103 dblp:conf/icdm/JamaliHE10 fatcat:65irpuokpjgoxjeuz2xuayork4

Bayesian spatio-temporal modelling of tobacco-related cancer data in Switzerland

Annibale Biggeri, Verena Jürgens, Jürg Utzinger, Penelope Vounatsou
2013 unpublished
Bayesian hierarchical spatio-temporal, negative binomial models were tted on subgroup-specic death rates indirectly standardized by national references to explore age-and gender-specic spatio-temporal  ...  The spatio-temporal patterns of mortality were similar for lung cancer and other tobacco-related cancers.  ...  Bayesian spatio-temporal modelling of cancer data Spatial data can be broadly classied into three categories viz areal unit data, geostatistical data and point processes (Bailey and Gatrell, 1995) .  ... 
doi:10.5451/unibas-006210660 fatcat:hjc36erlarb2vlfeqvcqojycsu

Representation of Data Association Problems using Temporal Relational Probability Models: An Overview

Navdeep Kumar, Meenakshi Jaiswal
International Research Journal of Engineering and Technology   unpublished
To represent objects and their relations with other objects there is a need to define models that are capable of defining relations among real world objects and also its associated data values.  ...  This paper defines a novel relational model that combines the probability theory with expressive power of first order logic to represent data association problems of complex world which in turn helps to  ...  relational probability model for temporal reasoning Relational probability models use expressive and declarative power of first order logic with slight changes.  ... 

A Modern Approaches for Modeling Time-Varying Database Models

2019 VFAST Transactions on Software Engineering  
Time-varying data models store data related to time instances and offer different types of timestamping.  ...  This research work introduces the state-of-the-art modeling approaches of Time-varying data.  ...  databases [16] . (4)Temporal Data Model, Temporal Data Model (TDM) stores data related to time instances.  ... 
doi:10.21015/vtse.v14i2.552 fatcat:d6yrdpwhobf55gq7yi42wcm7yu

Literature survey of temporal data models

2017 International Journal of Latest Trends in Engineering and Technology  
Bi-temporal Data Models Bi-temporal data models backs both valid time and transaction time, implemented using relational databases.  ...  Temporal data models implementation using Distributed environments and parallel computing can resolve the same. Model, first bi-temporal model, with two types of relations-snapshot & bi-temporal.  ... 
doi:10.21172/1.841.47 fatcat:odbedlm2zrabrkqf3xnjroei5q
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