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http://hdl.handle.net/1942/10687
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DC Field | Value | Language |
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dc.contributor.author | VANHULSEL, Marlies | - |
dc.contributor.author | JANSSENS, Davy | - |
dc.contributor.author | VANHOOF, Koen | - |
dc.contributor.author | WETS, Geert | - |
dc.date.accessioned | 2010-03-12T17:02:28Z | - |
dc.date.available | 2010-03-12T17:02:28Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | First Ubiquitous Knowledge Discovery Workshop (UKD08), Antwerp, Belgium, 2008. | - |
dc.identifier.uri | http://hdl.handle.net/1942/10687 | - |
dc.description.abstract | Modelling efforts aiming at predicting traffic flows accurately should be capable of handling a continuous stream of data while being able to account for structural changes. To this end, the current research proposes three regression tree induction algorithms, including a batch, incremental and hybrid batch/incremental technique. These algorithms are discussed, implemented and evaluated based on their predictive power and coputational requirements. The incremental and batch/incremental algorithms prove to be particularly suited as on-line learning approaches, whereas the batch algorithm needs to be adapted in order to handle a continuous stream of data. The outcomes of the batch/incremental and batch algorithms ae comparable and these algorithms also prove to forecast traffic flows better than a selected baseline model. Additionally, the incremental, and batch/incremental approaches show to consume considerably less memory capacity and computational time compared to the adapted batch algorithm. | - |
dc.language.iso | en | - |
dc.subject.other | regression tree; on-line learning; incremental regression tree induction; traffic flow forecasting | - |
dc.title | Application of Online Regression Tree Induction to Forecast Traffic Flows | - |
dc.type | Conference Material | - |
local.bibliographicCitation.conferencename | First Ubiquitous Knowledge Discovery Workshop (UKD08) | - |
local.bibliographicCitation.conferenceplace | Antwerp, Belgium, 2008 | - |
local.bibliographicCitation.jcat | C2 | - |
local.type.refereed | Refereed | - |
local.type.specified | Paper | - |
dc.bibliographicCitation.oldjcat | - | |
item.fullcitation | VANHULSEL, Marlies; JANSSENS, Davy; VANHOOF, Koen & WETS, Geert (2008) Application of Online Regression Tree Induction to Forecast Traffic Flows. In: First Ubiquitous Knowledge Discovery Workshop (UKD08), Antwerp, Belgium, 2008.. | - |
item.fulltext | No Fulltext | - |
item.accessRights | Closed Access | - |
item.contributor | VANHULSEL, Marlies | - |
item.contributor | JANSSENS, Davy | - |
item.contributor | VANHOOF, Koen | - |
item.contributor | WETS, Geert | - |
Appears in Collections: | Research publications |
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