Sentence examples for mining approaches for from inspiring English sources

The paper describes the state-of-the-art text mining approaches for supporting manual text annotation, such as ontology learning, named entity and concept identification.

In the following section, we start our investigation the performance of sentiment analysis based on data mining approaches for our dataset.

Hence, text mining approaches for sustainability monitoring cannot be seen as standalone tools, but as standardized and repeatable approaches, they can support tracking of topics and links.

Besides the practical characteristic of this work, the process we have presented should also serve as general guidelines to those who need to create mining approaches for other domains/contexts.

To compare registry and electronic health record (EHR) data mining approaches for cohort ascertainment in patients with pediatric pulmonary hypertension (PH) in an effort to overcome some of the limitations of registry enrollment alone in identifying patients with particular disease phenotypes.

Only few studies have proposed text mining approaches for extraction of biomarker related data [ 14– 16].

This paper presents a data mining approach for modeling the adiabatic temperature rise during concrete hydration.

Topic model is a text mining approach for discovering latent topics in a collection of documents.

We propose, in this paper, a (semi-automatic) hybrid aspect mining approach for agent-oriented code.

Suriyakumari and Kathiravan (2013) proposed a Domain Driven Data Mining (D3M) and opinion mining approach for performance evaluation to evaluate the performance of employees in virtual organizations.

The main result of this work is a combined mining approach for KDM that enables a concern-oriented modernization to be performed.