Method for making decision tree using context inference engine in ubiquitous environment
First Claim
1. A method for forming a decision tree by using an inference engine in a ubiquitous environment having a plurality of sensors, the method comprising:
- a) generating a data table for a data event set based on information collected by the at least one sensor;
b) establishing a weight value of the data event set, and calculating an entropy based on the established weight value (here, the entropy is a measure for classifying the information collected by the sensor into respective classes); and
c) forming the decision tree for the collected information based on the calculated entropy.
2 Assignments
0 Petitions
Accused Products
Abstract
The present invention relates to a method for generating a decision tree using an inference engine in a ubiquitous environment. In the method, a data table for a data event set is generated based on information collected by at least one sensor. Subsequently, a weight value of the data event set is established, and an entropy is calculated based on the established weight value (here, the entropy is a scale for classifying the information collected by the sensor into respective classes). In addition, the decision tree for the collected information is formed based on the calculated entropy.
-
Citations
15 Claims
-
1. A method for forming a decision tree by using an inference engine in a ubiquitous environment having a plurality of sensors, the method comprising:
-
a) generating a data table for a data event set based on information collected by the at least one sensor;
b) establishing a weight value of the data event set, and calculating an entropy based on the established weight value (here, the entropy is a measure for classifying the information collected by the sensor into respective classes); and
c) forming the decision tree for the collected information based on the calculated entropy. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
-
-
13. A method for updating a decision tree by using an inference engine in a ubiquitous environment having a plurality of sensors, the method comprising:
-
a) collecting data from at least one second sensor while a first decision tree is formed based on attributes of data collected from at least one first sensor;
b) when a new attribute is generated from the data collected from the second sensor, establishing a weight value for the new attribute;
c) generating a data table for the data collected from the second sensor having the attribute having the established weight value;
d) generating a final data table based on the data table generated in c) and a data table for the first decision tree; and
e) generating a second decision tree for the data collected from the first and second sensors based on the final data table. - View Dependent Claims (14, 15)
-
Specification