Onboard vehicle data mining, social networking, and pattern-based advertisement

A multi-agent distributed data mining system for monitoring the performance of vehicles and drivers and fleets. The apparatus has the following components:

• a. Onboard Module for Data Stream Mining:
• This component monitors vehicle diagnostic data coming out of OBD/J1708/J1939 ports, GPS data, and accelerometer (also known as G-sensor data) and performs the following data stream mining tasks to generate onboard results (analytics):
• i. Onboard Data Stream Mining for detecting the effects of various engine parameters on fuel consumption.
• ii. Onboard Predictive Classification of Driving Patterns and Associative Indexing of Driver Performance Matrix.
• iii. Resource-constrained Anomaly Detection for Onboard Predictive Vehicle Health Monitoring.
• iv. Onboard Vehicle Emission Data Analysis.
• v. Automated Adaptive Algorithm Generation and Management.
• b. Web-based Presentation of the Results of Onboard Data Analysis and User-Interaction. This component allows presentation of the analytics to the user using a web-based interface.
• c. Onboard and remote-server-based techniques for advertising products and services that are triggered by the patterns identified by the vehicle data analysis.
• d. Pattern-driven Web-based and Onboard vehicle-to-vehicle social networking and collective computation.