Vehicle

1
Vehicle

• We had to design a data mining tool, to identify
  4 different types of vehicles based on their
  silhouettes.
• This could be used for a toll gate, which charges
  different prices for different types of vehicles.

Frank and Nick
2
The problem and the goal

• To classify a given silhouette as one of four
  types of vehicle, using a set of features
  extracted from the silhouette. The vehicle may be
  viewed from one of many different angles.

3
Description of data

• There are 19 attributes in the data set
• There are 846 instances in the data set

4
Description of data

• Some of the attributes include
• Compactness
• Circularity
• Scatter ratio
• Scaled radius of gyration
• Radius ratio
• Etc.

5
Classification accuracy

• Decision stump 38.5
• Decision tree 69.7
• ZeroR 21.5

6
Interesting patterns

• If max length aspect ratio is between 7.3 and
  infinity then its a bus
• If pr. Axis rectangularity is between 25.4 and
  infinity then its a bus

7
Association rules

• If pr. axis rectangularity is between 18.2 and
  19.4 then scatter ratio is between 142.6 and
  157.9
• If elongatedness is between 43.5 and 47 and pr.
  axis rectangularity is between 18.2 and 19.4 then
  scatter ratio is between 142.6 and 157.9

8
Practical use

• The results could be used to determine the price
  that a vehicle has to pay at a toll gate,
  depending on what type of vehicle it is.