An improvement of methods and systems using mobile and distributed data stream mining algorithms for mining continuously generated data from different components of a vehicle. The system is designed for both on-board and remote mining and management of the data in order to (1) detect the effect of various engine parameters on fuel consumption behavior, (2) predictive classification of driving patterns and associative indexing of driver performance matrix, (3) resource-constrained anomaly detection for onboard health monitoring, (4) vehicle-to-vehicle social networking and distributed data mining, (5) adaptive placement of advertisements based on vehicle performance profile and (6) onboard emissions analytics computation for wireless emissions monitoring and smog test.