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Titlebook: Data Management and Analysis; Case Studies in Educ Reda Alhajj,Mohammad Moshirpour,Behrouz Far Book 2020 Springer Nature Switzerland AG 202

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https://doi.org/10.1007/978-1-4419-6117-4ifies all paths of varying lengths in a graph and stores those paths in the form of a . (MBVT). This MBVT results in faster computation of shortest path from source vertex to target vertex with the use of .. Additionally, our proposed algorithm with vertical data structures is more suitable in distr
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https://doi.org/10.1007/978-1-4419-6117-4tandard, we propose a programming model for automated workflow logging. The programming model is easy to implement and easily configurable by domain experts independent of workflow users. We implement our workflow programming model on Bioinformatics research—for evaluation and collect workflow logs
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https://doi.org/10.1007/978-3-319-14535-8ired algorithms (i.e., Genetic Algorithm (GA), Particle Swarm Optimizer (PSO), and Grey Wolf Optimizer (GWO)) as search strategies, were used for comparison purposes, and the results demonstrate the effectiveness of the proposed approach in solving different feature selection tasks.
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Leveraging Protection and Efficiency of Query Answering in Heterogenous RDF Data Using Blockchain,ties. The proposed view layer architecture between heterogeneous data sources and user interface layer using distributed Hyperledger can ensure only authorized users have access to the data sources in order to protect the system against unauthorized violation and determine the degree of users’ permi
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Big Data Analytics of Twitter Data and Its Application for Physician Assistants: Who Is Talking Abor, we design a system to allow non-computer experts to extract interesting information from the social network (especially, Twitter) data. To demonstrate the practicality of the system, we also conduct a case study to demonstrate how the system helps physician assistants (PAs) to find interesting pa
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Homogeneous Vs. Heterogeneous Distributed Data Clustering: A Taxonomy,eir distributed modeling strategies. The taxonomy classifies the distributed clustering processes as either a homogeneous or heterogeneous process. Various distributed performance and quality measures are also addressed.
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Prediction Model for Prevalence of Type-2 Diabetes Mellitus Complications Using Machine Learning Apt-Learn, Pandas for Python, and R-Studio for R. In this work, machine learning approaches such as decision tree, random forest for developing classification system-based prediction model to assess type-2 diabetes mellitus chronic diseases have been studied. Additionally, we have proposed an algorith
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