Spatio-Temporal Pattern and Trend Extraction on Turkish Meteorological Data

被引：0

作者：

Goler, Isil ^{[1
]}

Senkul, Pinar ^{[2
]}

Yazici, Adnan ^{[2
]}

机构：

[1] Havelsan Inc, Eskisehir Yolu 7 km, TR-06520 Ankara, Turkey

[2] Middle Tech Univ, Dept Comp Engn, TR-06531 Ankara, Turkey

来源：

COMPUTER AND INFORMATION SCIENCES II | 2012年

关键词：

Spatio-temporal data mining; Trend extraction; Spatio-temporal data;

D O I：

10.1007/978-1-4471-2155-8_64

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Due to increasing amount of spatio-temporal data collected from various applications, spatio-temporal data mining has become a demanding and challenging research field requiring development of novel algorithms and techniques for successful analysis of large spatio-temporal databases. In this study, we propose a spatio-temporal mining technique and apply it on meteorological data, which has been collected from various weather stations in Turkey. In addition, we introduce one more mining level on the extracted patterns in order to discover general trends with respect to spatial changes. Generated patterns are investigated under different temporal ranges, in order to monitor the change of the events with respect to temporal changes.

引用

页码：505 / 510

页数：6

共 9 条

[1]

Koperski K., 1995, 4 INT S ADV SPAT DAT, V951, p[6, 47]

[2]

Mennis J., 2005, Transactions in GIS, V9, P517, DOI [10.1111/j.1467-9671.2005.00202.x, DOI 10.1111/J.1467-9671.2005.00202.X]

[3]

Peuquet D., 1984, CARTOGRAPHICA, V21, P66, DOI DOI 10.3138/D794-N214-221R-23R5

[4]

Roddick J. F., 1999, ACM SIGKDD, V1

[5]

Shekhar S., 2001, INT S SPAT TEMP DAT

[6]

Subramanyam R. B., 2008, INT J DATA ANAL TECH, V1

[7]

Wang J., 2004, P 16 IEEE INT C TOOL

[8]

Wang JM, 2005, LECT NOTES COMPUT SC, V3453, P649

[9]

Yao X., 2003, U CONS GEOGR I UNPUB

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