An Efficient Information Retrieval from Domain Expert Using Active Learning with Generalized Queries

In recent years, domain-driven data mining (D3M) has received extensive attention in data mining. Unlike the traditional data-driven data mining, D3M tends to discover actionable knowledge by tightly integrating the data mining methods with the domain-specific business processes. However, in most cases, the domain specific actionable knowledge cannot be discovered without the support of domain knowledge, mainly provided by human experts. Thus, the human-machine-cooperated interactive knowledge discovery process is widely applied in realworld applications. Active learning can integrate the automated learning algorithm with the domain experts. The main aim of the paper is to get the information from domain experts to the generalized queries with don’t care attribute using data mining with addition off Active Learning with Generalized Queries Algorithm.