Diversity based Relevance Feedback for Time Series Search

Simple item page
dc.citation.epage120en_US
dc.citation.issueNumber2en_US
dc.citation.spage109en_US
dc.citation.volumeNumber7en_US
dc.contributor.authorEravci, B.en_US
dc.contributor.authorFerhatosmanoglu H.en_US
dc.date.accessioned2016-02-08T09:35:27Z
dc.date.available2016-02-08T09:35:27Z
dc.date.issued2013en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractWe propose a diversity based relevance feedback approach for time series data to improve the accuracy of search results. We first develop the concept of relevance feedback for time series based on dual-tree complex wavelet (CWT) and SAX based approaches. We aim to enhance the search quality by incorporating diversity in the results presented to the user for feedback. We then propose a method which utilizes the representation type as part of the feedback, as opposed to a human choosing based on a preprocessing or training phase. The proposed methods utilize a weighting to handle the relevance feedback of important properties for both single and multiple representation cases. Our experiments on a large variety of time series data sets show that the proposed diversity based relevance feedback improves the retrieval performance. Results confirm that representation feedback incorporates item diversity implicitly and achieves good performance even when using simple nearest neighbor as the retrieval method. To the best of our knowledge, this is the first study on diversification of time series search to improve retrieval accuracy and representation feedback. © 2013 VLDB Endowment.en_US
dc.identifier.issn21508097
dc.identifier.urihttp://hdl.handle.net/11693/20798
dc.language.isoEnglishen_US
dc.source.titleProceedings of the VLDB Endowmenten_US
dc.subjectDual-tree complex waveletsen_US
dc.subjectMultiple representationen_US
dc.subjectNearest neighborsen_US
dc.subjectRelevance feedbacken_US
dc.subjectRepresentation typeen_US
dc.subjectRetrieval accuracyen_US
dc.subjectRetrieval performanceen_US
dc.subjectTime series searchesen_US
dc.subjectInformation retrievalen_US
dc.subjectTime seriesen_US
dc.subjectWavelet transformsen_US
dc.subjectFeedbacken_US
dc.titleDiversity based Relevance Feedback for Time Series Searchen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Diversity based Relevance Feedback for Time Series Search.pdf
Size:
2.72 MB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download
Collections
Department of Computer Engineering