Matches in SemOpenAlex for { <https://semopenalex.org/work/W870949485> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W870949485 endingPage "388" @default.
- W870949485 startingPage "379" @default.
- W870949485 abstract "Forecasting techniques for analogous time series require the identification of related time series as a fundamental first step of the analysis. The selection of meaningful groupings at this stage is known to be a major factor for final forecasting performance. In this context, a segmentation is typically obtained using clustering of the actual time series data, clustering of suspected causal factors (associated with each time series), or, alternatively, by taking into account expert opinion. Here, we consider the potential of multicriterion segmentation techniques to allow for the simultaneous consideration of multiple types of information sources at this segmentation stage. We use experiments on synthetic data to illustrate the potential this has in feeding forward into the analytics pipeline and, thus, improving the final robustness and accuracy of forecasting results. We discuss the potential of this approach in a real-world context and highlight the role that evolutionary computation can play in contributing to further developments in this area." @default.
- W870949485 created "2016-06-24" @default.
- W870949485 creator A5020541197 @default.
- W870949485 creator A5071966599 @default.
- W870949485 date "2015-01-01" @default.
- W870949485 modified "2023-10-07" @default.
- W870949485 title "Multicriterion Segmentation of Demand Markets to Increase Forecasting Accuracy of Analogous Time Series: A First Investigation" @default.
- W870949485 cites W1987971958 @default.
- W870949485 cites W2019231125 @default.
- W870949485 cites W2040801950 @default.
- W870949485 cites W2070983909 @default.
- W870949485 cites W2075594497 @default.
- W870949485 cites W2082823924 @default.
- W870949485 cites W2108031918 @default.
- W870949485 cites W2168869827 @default.
- W870949485 doi "https://doi.org/10.1007/978-3-319-18833-1_40" @default.
- W870949485 hasPublicationYear "2015" @default.
- W870949485 type Work @default.
- W870949485 sameAs 870949485 @default.
- W870949485 citedByCount "0" @default.
- W870949485 crossrefType "book-chapter" @default.
- W870949485 hasAuthorship W870949485A5020541197 @default.
- W870949485 hasAuthorship W870949485A5071966599 @default.
- W870949485 hasConcept C104317684 @default.
- W870949485 hasConcept C116834253 @default.
- W870949485 hasConcept C119857082 @default.
- W870949485 hasConcept C124101348 @default.
- W870949485 hasConcept C125308379 @default.
- W870949485 hasConcept C143724316 @default.
- W870949485 hasConcept C144133560 @default.
- W870949485 hasConcept C151406439 @default.
- W870949485 hasConcept C151730666 @default.
- W870949485 hasConcept C154945302 @default.
- W870949485 hasConcept C162853370 @default.
- W870949485 hasConcept C166957645 @default.
- W870949485 hasConcept C185592680 @default.
- W870949485 hasConcept C199360897 @default.
- W870949485 hasConcept C205649164 @default.
- W870949485 hasConcept C2779343474 @default.
- W870949485 hasConcept C41008148 @default.
- W870949485 hasConcept C43521106 @default.
- W870949485 hasConcept C55493867 @default.
- W870949485 hasConcept C59822182 @default.
- W870949485 hasConcept C63479239 @default.
- W870949485 hasConcept C73555534 @default.
- W870949485 hasConcept C86803240 @default.
- W870949485 hasConcept C89600930 @default.
- W870949485 hasConceptScore W870949485C104317684 @default.
- W870949485 hasConceptScore W870949485C116834253 @default.
- W870949485 hasConceptScore W870949485C119857082 @default.
- W870949485 hasConceptScore W870949485C124101348 @default.
- W870949485 hasConceptScore W870949485C125308379 @default.
- W870949485 hasConceptScore W870949485C143724316 @default.
- W870949485 hasConceptScore W870949485C144133560 @default.
- W870949485 hasConceptScore W870949485C151406439 @default.
- W870949485 hasConceptScore W870949485C151730666 @default.
- W870949485 hasConceptScore W870949485C154945302 @default.
- W870949485 hasConceptScore W870949485C162853370 @default.
- W870949485 hasConceptScore W870949485C166957645 @default.
- W870949485 hasConceptScore W870949485C185592680 @default.
- W870949485 hasConceptScore W870949485C199360897 @default.
- W870949485 hasConceptScore W870949485C205649164 @default.
- W870949485 hasConceptScore W870949485C2779343474 @default.
- W870949485 hasConceptScore W870949485C41008148 @default.
- W870949485 hasConceptScore W870949485C43521106 @default.
- W870949485 hasConceptScore W870949485C55493867 @default.
- W870949485 hasConceptScore W870949485C59822182 @default.
- W870949485 hasConceptScore W870949485C63479239 @default.
- W870949485 hasConceptScore W870949485C73555534 @default.
- W870949485 hasConceptScore W870949485C86803240 @default.
- W870949485 hasConceptScore W870949485C89600930 @default.
- W870949485 hasLocation W8709494851 @default.
- W870949485 hasOpenAccess W870949485 @default.
- W870949485 hasPrimaryLocation W8709494851 @default.
- W870949485 hasRelatedWork W1501331687 @default.
- W870949485 hasRelatedWork W2045342254 @default.
- W870949485 hasRelatedWork W2142182663 @default.
- W870949485 hasRelatedWork W2326647871 @default.
- W870949485 hasRelatedWork W2468652214 @default.
- W870949485 hasRelatedWork W2501551404 @default.
- W870949485 hasRelatedWork W2535231171 @default.
- W870949485 hasRelatedWork W2592395359 @default.
- W870949485 hasRelatedWork W4205247302 @default.
- W870949485 hasRelatedWork W4255512592 @default.
- W870949485 isParatext "false" @default.
- W870949485 isRetracted "false" @default.
- W870949485 magId "870949485" @default.
- W870949485 workType "book-chapter" @default.