Search Results - subject:"temporal data"

Factor-augmented autoregressive neural network to forecast nox in the city of Madrid

Fernández-Avilés, Gema; Mattera, Raffaele; Scepi, Germana - In: Socio-economic planning sciences : the international … 95 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10015097511

Simplifying the interpretation of continuous time models for spatio-temporal networks

Gadd, Sarah C.; Comber, Lex; Gilthorpe, Mark S.; … - In: Journal of geographical systems : geographical … 24 (2022) 2, pp. 171-198

Persistent link: https://www.econbiz.de/10013277294

TEMPORAL DATA MANAGEMENT IN NOSQL DATABASES

Monger, Morgan D.; Mata-Toledo, Ramon A.; Gupta, Pranshu - In: Romanian Economic Business Review 6 (2012) 2, pp. 237-243

Temporal data management is recognized concept of managing data that changes over time. Traditionally, a temporal data … data. Even with this new approach for managing data, temporal data management is still a work in progress. This paper … provides an overview of temporal data management and NoSQL databases. Also, temporal data management is discussed within the …

Persistent link: https://www.econbiz.de/10010618180

Mathematical Genesis of the Spatio-Temporal Covariance Functions

Fernández-Avilés, G; Montero, JM; Mateu, J - Volkswirtschaftliche Fakultät, … - 2011

Obtaining new and flexible classes of nonseparable spatio-temporal covariances have resulted in a key point of research in the last years within the context of spatiotemporal Geostatistics. Approach: In general, the literature has focused on the problem of full symmetry and the problem of...

Persistent link: https://www.econbiz.de/10009397174

The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture

PIRJAN, Alexandru - In: Database Systems Journal 1 (2010) 1, pp. 37-47

paper the performance of algorithms for temporal data mining that are implemented in the new Compute Unified Device …

Persistent link: https://www.econbiz.de/10010819187

Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining

PIRJAN, Alexandru - In: Informatica Economica 14 (2010) 3, pp. 165-178

An important aspect in the data mining process is the discovery of patterns having a great influence on the studied problem. The purpose of this paper is to study the frequent episodes data mining through the use of parallel pattern discovery algorithms. Parallel pattern discovery algorithms...

Persistent link: https://www.econbiz.de/10009416745

Efficient duration modelling in the hierarchical hidden semi-Markov models and their applications

Duong, Thi V. T. - 2008

Modeling patterns in temporal data has arisen as an important problem in engineering and science. This has led to the …

Persistent link: https://www.econbiz.de/10009434909

Mapping of oil and gas exploration business data entities for effective operational management

Nimmagadda, Shastri; Dreher, Heinz; Rudra, Amit - 2006

Spatio-temporal data of petroleum resources businesses are heterogeneous in nature with multiple relationships among …, vertical seismic profiling (VSP), well-log and reservoir. Authors classify these typical spatio-temporal data items as classes …

Persistent link: https://www.econbiz.de/10009434996

Sinusoidal Modeling Applied to Spatially Variant Tropospheric Ozone Air Pollution

Muller, Nicholas Z.; Phillips, Peter C. B. - Cowles Foundation for Research in Economics, Yale University - 2006

This paper demonstrates how parsimonious models of sinusoidal functions can be used to fit spatially variant time series in which there is considerable variation of a periodic type. A typical shortcoming of such tools relates to the difficulty in capturing idiosyncratic variation in periodic...

Persistent link: https://www.econbiz.de/10005593285