Sentence examples for methodology of data mining from inspiring English sources

We applied the developed methodology of data mining in other medical tasks, such as in lung-nodule diagnosis in X-ray images, lymph-node diagnosis in MRI and investigation of breast MRI.

The basis of the methodologies of data mining is its ability to find patterns and relationships within large quantities of data that can enable the construction of models that meet the task of assigning the class label at unlabeled cases, the combination of statistical methods and artificial intelligence to the management of databases [ 18, 19].

A system identification methodology that makes use of data mining techniques to improve the reliability of identification is presented in this paper.

This convergence of deep sequencing technology and the potential regulatory roles of miRNA in stem cells provide many opportunities as well as challenges in terms of data mining methodology in uncovering biological significance.

The majority of data mining methodologies, however, produce large amounts of patterns from the data [ 4, 5].

The social impacts of data mining are discussed, including ubiquitous and invisible data mining, and privacy-preserving data mining.

Additionally, task-driven data mining concepts and principles are elaborated with the help of data mining concepts and techniques.

The mining of frequent itemsets is a fundamental and important task of data mining.

Temporal data mining is the application of data mining techniques to data that takes the time dimension into account.

Utility mining has recently been an emerging topic in the field of data mining.

Applications of data mining to anomaly detection include ADAM (audit data analysis and mining) [ 13], IDDM (intrusion detection using data mining) [ 19], and eBayes [ 20].