Sentence examples for mining domains from inspiring English sources

Sequential pattern mining is crucial to data mining domains.

Feature subset selection and dimensionality reduction of data are fundamental and most explored area of research in machine learning and data mining domains.

Presently, the Cameroon mining domain has about thirty concessions mainly located in the RDR and Douala Basins which are managed by the National Hydrocarbons Cooperation NHCC).

However, due to the relatively unstructured nature of the production environment and the attendant difficulties regarding accurate equipment monitoring, the mining domain represents a particularly challenging industry sector for the application of automation technology.

Still, there are several works that have focused on multi-view clusterings in image and text mining domain (Niu and Dy, 2010).

The Louhi workshop series was initiated in 2008 in Turku, Finland, and has since resulted in the publication of international state-of-the-art research in the health text mining domain [ 11- 14].

Traditional classification algorithms from data mining domain, however, require the input of training data to be formatted in a data matrix where the columns represent features/attributes that characterize the voice data, and the rows are the instances of the voice data.

Taking advantage of studies that reported gene expression profiles during the elongation of bovine embryos [ 5, 12, 30, 37- 43], we (i) defined a list of transcription regulators (TR, n = 70) among which we kept the transcription factors only (TF, n = 64; Table 4) and - from the terminology of the data mining domain – (ii) used it as a "gold standard" to assess the quality of our approach.

Based on the crystallizing concept exploration approach, this study implements an ontology construction mechanism that can automatically mine domain concepts out of domain document, determine relations between concept, and construct the domain ontology accordingly, thereby reducing cost and burden that would be incurred in a manual construction process.

Motivation: Previous research in the biomedical text-mining domain has historically been limited to titles, abstracts and metadata available in MEDLINE records.

Roddick et al. [4] point out that data mining in medical domain requires significant domain-expertise and cannot be performed without the intense cooperation of medical domain-experts.