Data mining in most cases relies on and is limited by a biologist's experience and knowledge. It is concentration- and time-intensive. We have developed an original hierarchical protein family ...

Abstract: There are three types of learning methodologies for data mining algorithms: supervised, unsupervised, and semi-supervised. The algorithm in supervised learning works with a collection of ...

Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete data ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.