caa a22 4500 475799313 CHVBK 20180406123733.0 cr unu---uuuuu 170329e20000701xx s 000 0 eng 10.1023/A:1008781812242 doi (NATIONALLICENCE)springer-10.1023/A:1008781812242 Knowledge Discovery from Series of Interval Events [Elektronische Daten] [Roy Villafane, Kien Hua, Duc Tran, Basab Maulik] Knowledge discovery from data sets can be extensively automated by using data mining software tools. Techniques for mining series of interval events, however, have not been considered. Such time series are common in many applications. In this paper, we propose mining techniques to discover temporal containment relationships in such series. Specifically, an item A is said to contain an item B if an event of type B occurs during the time span of an event of type A, and this is a frequent relationship in the data set. Mining such relationships provides insight about temporal relationships among various items. We implement the technique and analyze trace data collected from a real database application. Experimental results indicate that the proposed mining technique can discover interesting results. We also introduce a quantization technique as a preprocessing step to generalize the method to all time series. Kluwer Academic Publishers, 2000 data mining nationallicence knowledge discovery nationallicence time series nationallicence event sequence nationallicence temporal nationallicence Villafane Roy School of Electrical Engineering and Computer Science, University of Central Florida, 32816, Orlando, FL aut Hua Kien School of Electrical Engineering and Computer Science, University of Central Florida, 32816, Orlando, FL aut Tran Duc School of Electrical Engineering and Computer Science, University of Central Florida, 32816, Orlando, FL aut Maulik Basab Oracle Corporation, USA aut Journal of Intelligent Information Systems Kluwer Academic Publishers 15/1(2000-07-01), 71-89 0925-9902 15:1<71 2000 15 10844 https://doi.org/10.1023/A:1008781812242 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1008781812242 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Villafane Roy School of Electrical Engineering and Computer Science, University of Central Florida, 32816, Orlando, FL aut NATIONALLICENCE 700 1- Hua Kien School of Electrical Engineering and Computer Science, University of Central Florida, 32816, Orlando, FL aut NATIONALLICENCE 700 1- Tran Duc School of Electrical Engineering and Computer Science, University of Central Florida, 32816, Orlando, FL aut NATIONALLICENCE 700 1- Maulik Basab Oracle Corporation, USA aut NATIONALLICENCE 773 0- Journal of Intelligent Information Systems Kluwer Academic Publishers 15/1(2000-07-01), 71-89 0925-9902 15:1<71 2000 15 10844 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer