LEEDS, England, July 30 -- Data Technologies and Applications, a peer-reviewed journal that says it covers all aspects of the data revolution brought about by the internet and world-wide-web, published research articles on the following topics in its Vol. 58, Issue 3 edition:

* Construction of public security indicators based on characteristics of shared group behavior patterns

* Machine learning methods for results merging in patent retrieval

* TMsDP: two- . . .

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