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" In-Depth Analysis of Texas Accidents Using Data-Mining Techniques and Geo-Statistical Analyst Tools "
Faiz ul Islam
Asa, Eric
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Latin Dissertation
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| Language of Document
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English
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| Record Number
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805065
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| Doc. No
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TL49909
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| Call number
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2047578407; 10789887
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| Main Entry
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Davis, Carrie Elizabeth
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| Title & Author
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In-Depth Analysis of Texas Accidents Using Data-Mining Techniques and Geo-Statistical Analyst Tools\ Faiz ul IslamAsa, Eric
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| College
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North Dakota State University
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| Date
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2018
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| Degree
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M.S.
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| field of study
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Construction Management and Engineering
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| student score
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2018
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| Page No
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161
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| Note
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Committee members: Day, Stephanie; Stone, Matthew
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| Note
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Place of publication: United States, Ann Arbor; ISBN=978-0-355-97684-7
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| Abstract
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Traffic accidents have been a consistently growing problem in the United States. The road-safety issues have not been completely resolved and pose danger to people driving on the roadways. This research used various approaches and techniques to evaluate and analyze the Texas State traffic-accident dataset profoundly and meticulously. Data-mining techniques were used to analyze the accident dataset for Texas statistically, and information were collected. The resulting information from the analysis suggested that the city of Houston, Texas, was the point of persistent accidents and accounted for most accidents in all Texas cities. Therefore, Houston was analyzed further by using the geostatistical and geo-analyst tools in ArcGIS. The Geostatistical Analysis tools including Space-Time identified the key hotspot locations within the city to study the overall behavior, and developed prediction maps from the kriging tool. A similar approach can apply to other parts of Texas and any location in the United States.
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| Subject
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Civil engineering
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| Descriptor
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Applied sciences
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| Added Entry
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Asa, Eric
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| Added Entry
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Construction Management and EngineeringNorth Dakota State University
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