The Dicode Data Mining Services

Friesen, Natalja; Jakob, Max; Kindermann, Jörg; Maassen, Doris; Poigné, Axel; Rüping, Stefan; Trabold, Daniel

doi:10.1007/978-3-319-02612-1_5

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…However, modules are bound to be named uniformly because of the heterogeneous author base in workflow repositories. Therefore, less variable module features such as types are used to facilitate alignment 18 . The authors of Reference 19 additionally compare the numbers and types of input/output ports, but the qualities of those ports have not been utilized adequately.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, less variable module features such as types are used to facilitate alignment. 18 The authors of Reference 19 additionally compare the numbers and types of input/output ports, but the qualities of those ports have not been utilized adequately. The strategy for selecting a suitable module in Reference 20 is based on compatibility between pairs of successive modules, while ignoring the transitivity of neighbor influence.…”

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confidence: 99%

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MANSOR: A module alignment method based on neighbor information for scientific workflow

Cao

Qian

et al. 2023

Concurrency and Computation

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SummaryFinding similar scientific workflow modules that can substitute essential components of the privacy workflows from public repositories to create a personalized workflow is growing in popularity. This is a cost‐effective and error‐free strategy for the scientific community. Currently, module alignment approaches heavily depend on syntactic information such as modules' names and types. However, the contextual semantic information of modules, which encompasses inputs, outputs, and datalinks connecting modules, can also convey their functions. Unfortunately, this information is scarcely utilized during the module alignment process. In this work, we propose a module alignment method based on neighbor information for scientific workflow (MANSOR). Specifically, we present a rule‐based attribute similarity computation approach for calculating initial module‐pair similarity in two workflows. The relation similarity is then employed to iteratively fine‐tune the matching degree with uncertainty of module pairs by considering the contextual semantics until reaching a steady state. After pairwise comparison of workflows, the module alignment results are determined based on their module‐pair similarity. Experimental results on the human‐curated corpus of ratings indicate that MANSOR outperforms the existing state‐of‐the‐art approaches with statistical significance.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

MANSOR: A module alignment method based on neighbor information for scientific workflow

Cao

Qian

et al. 2023

Concurrency and Computation

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Mastering Data-Intensive Collaboration and Decision Making: The Dicode Project

Karacapilidis

2015

Communications in Computer and Information Science

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Managing adaptive orientation systems for museum visitors from an IoT perspective

Solima

Peruta

Maggioni

2016

Business Process Management Journal

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Purpose Starting from the premises that IoT applications can be used in museums as an aid to visiting systems, the aim of this research is to see how recommendation systems can be developed to provide advanced services to museum visitors. Design/methodology/approach The research methodology employs a qualitative exploratory multi-case study: the method used has consisted in crossing the information currently known on the most advanced communication technologies (ICT) with the requirements of enhancing museum services, in order to determine the possible trajectories of applying the former to the latter Findings The implementation of recommender system outlines the main implications and effects of an advanced market-driven digital orientation, as the system’s users are the starting point for innovation and the creation of value. For a museum, it will be possible to access to an additional system of knowledge alongside that of its scientific staff. This process has profound implications in the way in which a museum presents itself and how it is perceived by its visitors and, in a wider sense, by the potential demand. Research limitations/implications Our paper consists in an exploratory effort to introduce an analytical framework for an evolved adaptive museum orientation system; the empirical investigation can be structured in the inductive-predictive view of assessing this promising debate further. Originality/value Implementing the IoT blueprint entails introducing a plethora of new products, services and business models, opening new routes to guide and direct cultural events. Now, more than ever, sustainable development involves an intrinsic balancing act between the pluralism of data and that of customer needs, which is achieved through the elaboration of digital data.

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The Dicode Data Mining Services

Cited by 4 publications

References 4 publications

MANSOR: A module alignment method based on neighbor information for scientific workflow

MANSOR: A module alignment method based on neighbor information for scientific workflow

Mastering Data-Intensive Collaboration and Decision Making: The Dicode Project

Managing adaptive orientation systems for museum visitors from an IoT perspective

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