Mining of Emerging Pattern: Discovering Frequent Itemsets in a Stock Data
Data mining is the process of finding valid, useful and understandable pattern in data. Due to the large size of databases, importance of information stored, and valuable information obtained, finding hidden patterns in data has become increasingly significant. Stock data mining plays an important role to visualize the behavior of financial market. Association rule mining algorithms can be used to discover all item associations (or rules) in a dataset that satisfy user-specified constraints, i.e. minimum support and minimum confidence.