An intelligent clustering algorithm for high-dimensional multiview data in big data applications
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.093
Abstract: Abstract There are many high-dimensional multiview data in various big data applications. It is very difficult to deal with those high-dimensional multiview data for the classic clustering algorithms, which consider all features of data with… read more here.
Keywords: multiview data; dimensional multiview; high dimensional; data applications ... See more keywords
The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability
Sign Up to like & getrecommendations! Published in 2018 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2017.12.034
Abstract: Abstract The Internet of Things (IoT) is one of the key components of the ICT infrastructure of smart sustainable cities as an emerging urban development approach due to its great potential to advance environmental sustainability.… read more here.
Keywords: sustainable cities; big data; smart sustainable; environmental sustainability ... See more keywords
Rethinking Visual Analytics for Streaming Data Applications
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Internet Computing"
DOI: 10.1109/mic.2017.2911428
Abstract: Visual analytics is entering a period of renewed growth due to a shift in focus from static to streaming data applications. In this article, the authors illustrate several challenges arising from this pivot and suggest… read more here.
Keywords: analytics streaming; visual analytics; streaming data; rethinking visual ... See more keywords
Preconditioned Data Sparsification for Big Data With Applications to PCA and K-Means
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2017.2672725
Abstract: We analyze a compression scheme for large data sets that randomly keeps a small percentage of the components of each data sample. The benefit is that the output is a sparse matrix, and therefore, subsequent… read more here.
Keywords: big data; sparsification big; preconditioned data; data applications ... See more keywords
Accelerating Spark-Based Applications with MPI and OpenACC
Sign Up to like & getrecommendations! Published in 2021 at "Complexity"
DOI: 10.1155/2021/9943289
Abstract: The amount of data produced in scientific and commercial fields is growing dramatically. Correspondingly, big data technologies, such as Hadoop and Spark, have emerged to tackle the challenges of collecting, processing, and storing such large-scale… read more here.
Keywords: big data; spark; topology; data applications ... See more keywords
Insufficiency in functional genomics studies, data, and applications: A case study of bio-prospecting research in ruminant microbiome
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.946449
Abstract: Over the last two decades, biotechnology has advanced at a rapid pace, propelled by the incorporation of bio-products into various aspects of pharmaceuticals, industry, and the environment. These developments have sparked interest in the bioprospecting… read more here.
Keywords: data applications; studies data; insufficiency functional; genomics studies ... See more keywords