Results 271 to 280 of about 115,029 (313)
Some of the next articles are maybe not open access.

Big Data Platform for Analysing Crime Evidences

2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService), 2020
During a criminal investigation, the evidence collection process produces an enormous amount of data. These data are present in many medias that are extracted as crime evidences (USB flash drives, smartphones, hard drives, computers, etc). Due to this data volume, the manual analysis is slow and costly.
João Marcos do Valle   +11 more
openaire   +1 more source

Multitudinous Data Platform for Community Big Data

Proceedings of the 11th International Conference on Data Science, Technology and Applications, 2022
S. Junrat   +4 more
openaire   +1 more source

Conceptual Architecture of GATE Big Data Platform

Proceedings of the 20th International Conference on Computer Systems and Technologies, 2019
Today we experience a data-driven society. All human activities, industrial processes and research lead to data generation of unprecedented scale, spurring new products, services and businesses. Big Data and its application have been a target for European Commission -- with more than 100 FP7 and about 50 H2020 funded projects under Big Data domain ...
Dessislava Petrova-Antonova   +3 more
openaire   +1 more source

Attack Models for Big Data Platform Hadoop

2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), 2019
Hadoop is a very popular big data processing framework, however, due to its distributed and large-scale characteristics, its security problems have not been solved very well. Existing research does not systematically analyze attacks in big data platforms. This paper proposes four innovative hadoop attack models.
Ningwei Li   +4 more
openaire   +1 more source

Popular platforms for big data analytics: A survey

2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), 2018
This paper aims to make a comparative study of the different platforms used in the field of Big data analytics. It lists the different hardware platforms available, and widely used in Big data, to perform data analysis. A detailed description of the frameworks and processing paradigms used by each platform is also provided.
Mohamed Merrouchi   +2 more
openaire   +1 more source

Big Data Analytics Tools and Platform in Big Data Landscape

2018
The term big data analytics refers to mining and analyzing of the voluminous amount of data in big data by using various tools and platforms. Some of the popular tools are Apache Hadoop, Apache Spark, HBase, Storm, Grid Gain, HPCC, Casandra, Pig, Hive, and No SQL, etc. These tools are used depending on the parameter taken for big data analysis.
Mohd Imran   +3 more
openaire   +1 more source

A performance study of big data analytics platforms

2017 IEEE International Conference on Big Data (Big Data), 2017
Big Data analytics has become an invaluable tool in a wide variety of businesses for exploiting the wealth of Big Data that they now have access to. As a result, various solutions within different categories of Big Data systems are emerging to meet their needs. In this paper we use the TPC-H benchmark to compare the performance of four Big Data systems
Pouria Pirzadeh   +2 more
openaire   +1 more source

Analysis of Big Data Platform with OpenStack and Hadoop

2016
In the era of big data, the cloud infrastructure needs to strongly support big data. As a distributed computational framework, Hadoop is one of the de facto leading software tools for solving big data problems. The cloud infrastructure has been proven to be a good support for three-tier architecture applications.
Xiaoyan Li   +4 more
openaire   +1 more source

Experimental Survey of Geospatial Big Data Platforms

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW), 2018
Recent advances in geospatial data acquisition techniques are instrumental in the generation of massive data that are being processed by geospatial big data platforms such as Spatial Hadoop and Geo-spark. While some of this data is stored in databases, much of the data is unstructured and temporal.
Nilkamal More   +2 more
openaire   +1 more source

Big Data Platforms

2022
Jay Gohil, Manan Shah
openaire   +1 more source

Home - About - Disclaimer - Privacy