Survey on Visual Analysis of Event Sequence Data

• Published in: IEEE transactions on visualization and computer graphics Vol. 28; no. 12; pp. 5091 - 5112
• Main Authors: Guo, Yi, Guo, Shunan, Jin, Zhuochen, Kaul, Smiti, Gotz, David, Cao, Nan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Data mining; Data visualization; Electronic health records; Event detection; event sequences; Literature reviews; Mathematical analysis; Medical diagnostic imaging; Sequences; State-of-the-art reviews; Visual analysis; Visual analytics; visualization

Event sequence data record series of discrete events in the time order of occurrence. They are commonly observed in a variety of applications ranging from electronic health records to network logs, with the characteristics of large-scale, high-dimensional and heterogeneous. This high complexity of e...