New algorithms in inductive machine learning

Parallel to the advancement in machine learning, data collecting sources were developed and became common. Almost all the disciplines formed a database with the data they produced along with those they collected from the surroundings. Among the data, there is valuable information that they may facilitate to give decisions about the future. It has been a significant research area to extract significant and useful knowledge from the databases.One of the most significant tasks of expert systems is to explore useful but hidden information in databases. Acquisition of knowledge is also known as obtaining knowledge. There are vital problems that must be solved related to the illustration, usage and acquisition of information in expert systems. Acquisition of knowledge is the most crucial of them. Machine learning algorithms (IREM and keREM) developed to acquire information will be presented in this study.