A real-time frequent pattern mining algorithm for semi structured data streams

This paper presented a frequent pattern mining algorithm SSDTreeMiner used in semi structured data streams. The algorithm gets the frequent pattern in the target time by using the adding and deleting principle and maintaining the sliding windows, at the same time, uses the time attenuation model to eliminate the influence of historical data in the mining process, compared with the traditional algorithms, the SSDTreeMiner algorithm can deal with high speed and complex data streams and complete mining tasks real-timely and efficiently.