CONTEXT-AWARE SIMILARITY MEASURE OF TRAJECTORIES BASED ON MOPSO ALGORITHM AND FUZZY THEORY

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TASHAYO BEHNAM; SHARIF MOHAMMAD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Paper Information

Journal: GEOGRAPHICAL DATA Year:2018 | Volume:27 | Issue:106 Page(s): 3-4

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Title

CONTEXT-AWARE SIMILARITY MEASURE OF TRAJECTORIES BASED ON MOPSO ALGORITHM AND FUZZY THEORY

Author(s)

TASHAYO BEHNAM | SHARIF MOHAMMAD | Issue Writer Certificate

Keywords

TRAJECTORYQ1

SIMILARITY MEASUREQ1

CONTEXT-AWARENESSQ1

HFISQ1

MULTI-OBJECTIVE OPTIMIZATIONQ1

Abstract

Introduction With the developments in navigation, positioning, and tracking technologies, a large amount of moving point data (e.g., human, vehicle, animal) have been produced. Through moving an object in the course of time, a sequence of its position is recorded which is known as TRAJECTORY. Studying the behaviors of point objects and analyzing their trajectories have recently received great attentions among researchers in different fields of science, especially in geographic information science. Such studies contribute to better understanding of movement-behavior patterns of moving objects. Data mining, as one of the main approaches in geographic knowledge discovery, is normally used in moving databases to extract information from moving point objects’ trajectories. Analyzing the similarity of trajectories as one of the frequently used approaches in geographic data mining, is of great importance, which is normally performed by distance functions.

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APA: Copy

TASHAYO, BEHNAM, & SHARIF, MOHAMMAD. (2018). CONTEXT-AWARE SIMILARITY MEASURE OF TRAJECTORIES BASED ON MOPSO ALGORITHM AND FUZZY THEORY. GEOGRAPHICAL DATA, 27(106 ), 3-4. SID. https://sid.ir/paper/366832/en

Vancouver: Copy

TASHAYO BEHNAM, SHARIF MOHAMMAD. CONTEXT-AWARE SIMILARITY MEASURE OF TRAJECTORIES BASED ON MOPSO ALGORITHM AND FUZZY THEORY. GEOGRAPHICAL DATA[Internet]. 2018;27(106 ):3-4. Available from: https://sid.ir/paper/366832/en

IEEE: Copy

BEHNAM TASHAYO, and MOHAMMAD SHARIF, “CONTEXT-AWARE SIMILARITY MEASURE OF TRAJECTORIES BASED ON MOPSO ALGORITHM AND FUZZY THEORY,” GEOGRAPHICAL DATA, vol. 27, no. 106 , pp. 3–4, 2018, [Online]. Available: https://sid.ir/paper/366832/en

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