Big Data Analytics Framework for Predictive Analytics using Public ...
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A big data analytics framework for public data, called BDAP, was presented predictive analytics for community need considering data the spatial and temporal ...
A big data analytics framework for public data, called BDAP, was presented predictive analytics for community need considering data the spatial and temporal.
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Feb 22, 2024 · These studies provide empirical evidence and quantitative conclusions from their analysis of open data portals [41,44] and analytical inputs for ...
Predictive Big Data Analytics for Service Requests: A Framework
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Hence, in this article, we present a framework for predictive big data analytics for service requests. The framework mines historical open big data to discover ...
This temporally hierarchical privacy-preserving model (THPPM) adapts and extends the traditional temporal hierarchy to generalize spatial data generated within ...
Mar 28, 2020 · As a preview, in this paper, we use the framework to analyze weather data and web-search data to predict and forecast dengue cases as it is ...
In this paper, we present an innovative big data predictive analytics framework over hybrid big data sources. To demonstrate the effectiveness and practicality ...
Sep 22, 2018 · Privacy is the ability of an individual to determine what data can be shared, and employ access control. If the data is in public domain then it ...
Apr 5, 2024 · Big data analytics is the systematic processing and analysis of large amounts of data to extract valuable insights and help analysts make ...
It focuses on algorithms and tools for sharing data in a privacy-preserving manner. The goal of iDASH is to bring together a multi-institutional team of ...