A New Data Mining Algorithm based on MapReduce and Hadoop
Xianfeng Yang and Liming Lian
The goal of data mining is to discover hidden useful information in large databases. Mining frequent patterns from transaction databases is an important problem in data mining. As the database size increases, the computation time and required memory also increase. Base on this, we use the MapReduce programming mode which has parallel processing ability to analysis the large-scale network.