Knowledge Discovery in Databases (KDD), as any organizational process, is carried out beneath a Knowledge Management (KM) model adopted (even informally) by a corporation. KDD is ...
Data Mining and Knowledge Discovery techniques proved to be efficient tools for variety of complex tasks in biology including DNA research. This paper presents implementation of th...
Eugenii E. Vityaev, Yuri L. Orlov, Oleg V. Vishnev...
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...