DECISION TREE BASED ANALYSIS OF ROAD ACCIDENT

dc.contributor.author	Hafeeza Reg # 35640
dc.contributor.author	Samad Reg # 35691
dc.contributor.author	Arif, Shaikh Ammar Reg # 35697
dc.contributor.author	Hussain, Hunaina Reg # 35725
dc.date.accessioned	2020-11-28T02:48:07Z
dc.date.available	2020-11-28T02:48:07Z
dc.date.issued	2017
dc.identifier.uri	http://hdl.handle.net/123456789/10378
dc.description	Supervised by Azmat Khan	en_US
dc.description.abstract	Life risks depends on many events where road accident is one of the key element. The objective of this research project is to minimize the life risk associated with human being while travelling on road. Vision based video processing for pattern computation and decision tree based calculation of chances involved in our research methodology. Decision tree is a machine learning algorithm that is based on entropy calculation to classify the input in one of the categories of output. The output categories are: ‘Yes’ means 100% collision, ‘No’ means 0% collision.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Bahria University Karachi Campus	en_US
dc.relation.ispartofseries	BS CS;MFN BSCS 77
dc.title	DECISION TREE BASED ANALYSIS OF ROAD ACCIDENT	en_US
dc.type	Thesis	en_US