Data mining is the extraction of implicit, previously unknown and potentially useful information from data. In recent time, data mining studies have been carried out in many engineering disciplines. In this paper the background of data mining and tools is introduced. Further applications of data mining to transportation engineering problems are reviewed. The application of data mining for typical example of ‘Vehicle Crash Study’ is demonstrated using commercially available data mining tool. The paper highlights the potential of data mining tool application in transportation engineering sector. First Published Online: 19 Dec 201
Data mining is the analysis of large observational datasets to find unsuspected relationships that...
Seventy percent of the traffic crash fatalities of Iran happen on rural roads, and a significant pro...
The paper presents initial research related to use of data mining for analysis of condition of an of...
Data mining is the extraction of implicit, previously unknown and potentially useful information fro...
vance analysis and classification of road traffic ac-cident data through data mining techniques, Pro...
Decision makers working to improve transportation systems must constantly balance the need to improv...
Data mining is the analysis of large observational datasets to find unsuspected relationships that...
[[abstract]]Traffic accidents are one of the critical reasons to cause deaths in Taiwan based upon t...
Roadway traffic safety is a major concern for transportation governing agencies as well as ordinary ...
Road asset managers are seeking analysis of the whole road network to supplement statistical analyse...
In this paper, an understanding and a review of data mining (DM) development and its applications in...
This paper presents a brief overview of Data Mining applications in transporta- tion geotechnics, hi...
Data Mining is removing from concealed examples from enormous database. It is generally utilized as ...
This paper describes the application of data mining methods in the database of the DORIS transportat...
As advances in traffic detection technology help to operate roads more efficiently and as the author...
Data mining is the analysis of large observational datasets to find unsuspected relationships that...
Seventy percent of the traffic crash fatalities of Iran happen on rural roads, and a significant pro...
The paper presents initial research related to use of data mining for analysis of condition of an of...
Data mining is the extraction of implicit, previously unknown and potentially useful information fro...
vance analysis and classification of road traffic ac-cident data through data mining techniques, Pro...
Decision makers working to improve transportation systems must constantly balance the need to improv...
Data mining is the analysis of large observational datasets to find unsuspected relationships that...
[[abstract]]Traffic accidents are one of the critical reasons to cause deaths in Taiwan based upon t...
Roadway traffic safety is a major concern for transportation governing agencies as well as ordinary ...
Road asset managers are seeking analysis of the whole road network to supplement statistical analyse...
In this paper, an understanding and a review of data mining (DM) development and its applications in...
This paper presents a brief overview of Data Mining applications in transporta- tion geotechnics, hi...
Data Mining is removing from concealed examples from enormous database. It is generally utilized as ...
This paper describes the application of data mining methods in the database of the DORIS transportat...
As advances in traffic detection technology help to operate roads more efficiently and as the author...
Data mining is the analysis of large observational datasets to find unsuspected relationships that...
Seventy percent of the traffic crash fatalities of Iran happen on rural roads, and a significant pro...
The paper presents initial research related to use of data mining for analysis of condition of an of...