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- W2293291291 abstract "The majority of enterprises are in the process of recognizing that business data analytics have the potentialto transform their daily operations and make them extremely effective at addressing business challenges,identifying new market trends and embracing new ways to engage customers. Such analytics are in mostcases related with the processing of data coming from various data sources that include structured andunstructured data. In order to get insight through the analysis results, appropriate input has to be providedthat in many cases has to combine data from cross-sectorial and heterogeneous public or private datasources. Thus, there is inherent a need for applying novel techniques in order to harvest complex andheterogeneous datasets, turn them into insights and make decisions. In this paper, we present an approachfor the production of added-value business analytics through the consumption of interlinked versions of dataand the exploitation of linked data principles. Such interlinked data constitute valuable input for theinitiation of an analytics extraction process and can lead to the realization of analysis that was not envisagedin the past. In addition to the production of analytics based on the consumption of linked data, the proposedapproach supports the interlinking of the produced results with the associated input data, increasing in thisway the value of the produced data and making them discoverable for further use in the future. The designedbusiness analytics and data mining component is described in detail, along with an indicative applicationscenario combining data from the governmental, societal and health sectors." @default.
- W2293291291 created "2016-06-24" @default.
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- W2293291291 date "2015-01-01" @default.
- W2293291291 modified "2023-09-27" @default.
- W2293291291 title "Exploiting Linked Data Towards the Production of Added-Value Business Analytics and Vice-versa" @default.
- W2293291291 doi "https://doi.org/10.5220/0005508700690080" @default.
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