Information retrieval with time series query

Hyun Duk Kim, Danila Nikitin, Chengxiang Zhai, Malu Castellanos, Meichun Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study a novel information retrieval problem, where the query is a time series for a given time period, and the retrieval task is to find relevant documents in a text collection of the same time period, which contain topics that are correlated with the query time series. This retrieval problem arises in many text mining applications where there is a need to analyze text data in order to discover potentially causal topics. To solve this problem, we propose and study multiple retrieval algorithms that use the general idea of ranking text documents based on how well their terms are correlated with the query time series. Experiment results show that the proposed retrieval algorithm can effectively help users find documents that are relevant to the time series queries, which can help users analyze the variation patterns of the time series.

Original languageEnglish (US)
Title of host publicationInternational Conference on the Theory of Information Retrieval, ICTIR 2013 Proceedings
Pages56-63
Number of pages8
DOIs
StatePublished - Oct 30 2013
Event4th International Conference on the Theory of Information Retrieval, ICTIR 2013 - Copenhagen, Denmark
Duration: Sep 29 2013Oct 2 2013

Publication series

NameACM International Conference Proceeding Series

Other

Other4th International Conference on the Theory of Information Retrieval, ICTIR 2013
CountryDenmark
CityCopenhagen
Period9/29/1310/2/13

Keywords

  • Information retrieval
  • Text stream
  • Time series query

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Kim, H. D., Nikitin, D., Zhai, C., Castellanos, M., & Hsu, M. (2013). Information retrieval with time series query. In International Conference on the Theory of Information Retrieval, ICTIR 2013 Proceedings (pp. 56-63). (ACM International Conference Proceeding Series). https://doi.org/10.1145/2499178.2499195