Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...

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 ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

*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.

Recently, Ningbo Lanyuan Industrial City Group Co., Ltd. announced that it has obtained a patent titled "Intelligent Industrial Cluster Management System Based on Big Data Analysis ", with the ...

Educational Technology & Society, Vol. 15, No. 3, Learning and Knowledge Analytics (July 2012), pp. 103-115 (13 pages) ABSTRACT Teachers and students increasingly enjoy unprecedented access to ...