TY - GEN
T1 - Information retrieval with time series query
AU - Kim, Hyun Duk
AU - Nikitin, Danila
AU - Zhai, Chengxiang
AU - Castellanos, Malu
AU - Hsu, Meichun
PY - 2013/10/30
Y1 - 2013/10/30
N2 - 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.
AB - 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.
KW - Information retrieval
KW - Text stream
KW - Time series query
UR - http://www.scopus.com/inward/record.url?scp=84886429279&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886429279&partnerID=8YFLogxK
U2 - 10.1145/2499178.2499195
DO - 10.1145/2499178.2499195
M3 - Conference contribution
AN - SCOPUS:84886429279
SN - 9781450321075
T3 - ACM International Conference Proceeding Series
SP - 56
EP - 63
BT - International Conference on the Theory of Information Retrieval, ICTIR 2013 Proceedings
T2 - 4th International Conference on the Theory of Information Retrieval, ICTIR 2013
Y2 - 29 September 2013 through 2 October 2013
ER -