Informative Pattern Discovery Using Combined Mining
These actionable patterns are identified by applying different data mining methods. Traditional data mining techniques are available to identify homogeneous features of patterns in the data sources. Enterprise applications consist of large volumes of data, mining such data causes more space complexity and time complexity. In this paper authors implemented combined mining approach i.e. Location based search mining algorithm and Cluster kinship search technique to generate the incremental cluster patterns. By observing informative patterns acquired from the above techniques efficient actionable decision making possible and also user interestingness evaluated.