Sentence examples for mining and network from inspiring English sources

The data mining and network management research communities are interested in improving existing score-based network traffic anomaly detection techniques because of ample scopes to increase performance.

From sentiment mining and network construction to demographic estimation and geographic imputation, many fields of "big data" like social media analysis are almost entirely based on collections of opaque black boxes.

As we get more advanced in the era of integrative, predictive and comparative systems biology in rice research, such a question has become quite relevant in the context of subsequent translation of genomics to various applications in molecular breeding, allele mining and network engineering for the improvement of yield and nutritional value of rice.

We introduce an automatic approach based on text mining and network analysis to predict gene-disease associations.

We have presented a new approach to predict gene-disease associations based on text mining and network analysis.

Özgür et al. [ 24] had proposed an automatic method that utilized automatic literature mining and network analysis to extract known and infer unknown gene-disease association.

We have described a representation of the role of phosphorylation for a few core proteins in the spindle checkpoint, which we developed using a combination of text mining, data mining, ontologies and network visualization tools.

To our knowledge, this is the first effort of building a gene-interaction network by automatic literature mining and applying network centrality to predict gene-disease associations on that network.

This chapter presents a high-level overview of mining complex data types, which includes mining sequence data such as time series, symbolic sequences, and biological sequences; mining graphs and networks; and mining other kinds of data, including spatiotemporal and cyber-physical system data, multimedia, text and Web data, and data streams.

In this sense, the data mining screening and network design of repressed or induced genes-associated PPPI networks was performed using Cytoscape software, version 2.6.3 [ 20].

A team at Indiana University used data-mining and network-analysis techniques to detect the activity.