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Multi-relational data mining algorithms emerged to enable the extraction of multiple relation patterns, with efficiency and efficacy, without the necessity of joining the data into a single table [4, 5].
Community structures and relation patterns, and ranking them for social networks provide us with great knowledge about network.
Besides, semi-supervised methods for Relation Extraction are usually applied over a great volume of data, such as Web pages, and the outcome is usually a large number of new relation patterns (e.g., Open IE).
We address the challenge of learning complex relation patterns from data objects exhibiting heterogeneous properties, and develop an effective multi-view multimodal similarity learning model with much improved learning performance and model interpretability.
Later on, the concept of gender-refined relevant theories, pushing up front the issue of the cultural construction of these theoretical categories as well as the various models of female subordination and subsequent power relation patterns, were lurking behind the so far unquestioned dichotomies (Barnard and Spencer 1996).
Second, we obtained passenger social relation patterns by using the method of questionnaire investigation.
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It can simultaneously learn the relation pattern's information and the semantic properties of given entities.
To demonstrate the relation pattern between L1 methylation levels and gene expression, we measured intragenic L1 methylation levels and host gene's mRNA level.
The relation pattern was similar for serum activities of PON1 and PON3.
Table 3 provides the assumptions about the four social relation structures of passengers.> We have made a survey on the social relation pattern of passengers in a Chinese terminal to get their spatial distribution.
A total of 400 questionnaires, included social relation pattern and number of passengers in each pattern, were issued to ticket sellers, check-in staffs and passengers in the terminal every day.
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