The proposed HDS Analytics framework design aides analytic models in using heterogeneous data sources "As-Is" without integrating into a single data source ...
The proposed HDS Analytics framework design aides analytic models in using heterogeneous data sources "As-Is" without integrating into a single data source, ...
This paper presents HDSAnalytics: A data analytics framework for heterogeneous data sources. This framework utilizes data from a variety of data sources ...
ABSTRACT. This paper presents HDSAnalytics: A data analytics framework for heterogeneous data sources. This framework utilizes data from.
HDSanalytics: a data analytics framework for heterogeneous data sources. Y Jaybal, C Ramanathan, S Rajagopalan. Proceedings of the ACM India Joint International ...
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TL;DR: The proposed HDS Analytics framework design aides analytic models in using heterogeneous data sources "As-Is" without integrating into a single data ...
For example, the HDS Analytics framework created a heterogeneous dataset to feed an analysis model that located the shortest route in a public transport domain ...
Research papers. A framework of integrating heterogeneous data sources for monthly streamflow prediction using a state-of-the-art deep learning model.
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HDSanalytics: a data analytics framework for heterogeneous data sources. COMAD/CODS 2018: 11-19; 2013. [i2]. view. electronic edition @ arxiv.org (open access) ...
HDSanalytics: a data analytics framework for ... The proposed HDS Analytics framework design aides analytic models in using heterogeneous data sources ...