Software for spatio-temporal trajectory analysis and pattern mining

被引：0

作者：

Sidorova, Marina ^{[1
]}

Pidhornyi, Pavlo ^{[1
]}

机构：

[1] Oles Honchar Dnipro Natl Univ, Dnipro, Ukraine

来源：

2018 14TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET) | 2018年

关键词：

information technology; cluster analysis; geodata; spatio-temporal analysis; dbscan; association rule; pattern mining;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work involves development and implementation of an algorithm for a search of points of interest and also the identification of various patterns in the trajectories of moving objects on the basis of the association rule mining algorithms.

引用

页码：958 / 961

页数：4

共 7 条

[1]

[Anonymous], 2006, WILDLIFE TRACKING PR

[2]

Baibuz O. G., 2014, NAUKOVYI VISNYK NATS, V2014, P11

[3] Reporting flock patterns [J].

Benkert, Marc ;

Gudmundsson, Joachim ;

Huebner, Florian ;

Wolle, Thomas .

COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, 2008, 41 (03) :111-125

[4] Efficient detection of patterns in 2D trajectories of moving points [J].

Gudmundsson, Joachim ;

van Kreveld, Marc ;

Speckmann, Bettina .

GEOINFORMATICA, 2007, 11 (02) :195-215

[5]

Kazemi Vahed Dehghani, 2016, Open Journal of Ecology, V6, P312

[6]

Sidorova M., 2012, 2012 11th International Conference on "Modern Problems of Radio Engineering, Telecommunications and Computer Science"

[7]

Tan Pang-Ning, 2005, INTRO DATA MINING PE

← 1 →