Matches in SemOpenAlex for { <https://semopenalex.org/work/W3157678233> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W3157678233 endingPage "84" @default.
- W3157678233 startingPage "76" @default.
- W3157678233 abstract "With the advancement of smart devices and cloud computing, more and more public health data can be collected from various sources and analyzed in unprecedented ways. The enormous social and academic impact of this development has led to a global buzz for bigdata. Moreover, due to the massive data source, the security of big data in the cloud is becoming an important issue. In these days, various issues have arisen in the field of big data security, such as Infrastructure security, data confidentiality, data management and data integrity. In this paper, we propose a novel technique based on Artificial Neural Network-and Particle Swarm Optimization Algorithm (ANN-PSO) for enabling a highly secured framework. The ANN-PSO method was created to predict health status from a database and its functions were selected from these data sets. The particle swarm optimization algorithm matches the ANN for better results by reducing errors. The results show the potential of the ANN-PSO-based methodology for satisfactory health prediction results. This proposed approach will be tested using large medical data in a Hadoop environment. The proposed work will be carried out in the JAVA work phase." @default.
- W3157678233 created "2021-05-10" @default.
- W3157678233 creator A5065380526 @default.
- W3157678233 date "2021-03-30" @default.
- W3157678233 modified "2023-09-25" @default.
- W3157678233 title "An Enhanced Framework To Secure Big Data Based on Hybrid Machine Learning Technique ANN-PSO" @default.
- W3157678233 cites W2004339534 @default.
- W3157678233 cites W2007933982 @default.
- W3157678233 cites W2010297342 @default.
- W3157678233 cites W2013787102 @default.
- W3157678233 cites W2013938307 @default.
- W3157678233 cites W2022985331 @default.
- W3157678233 cites W2060647977 @default.
- W3157678233 cites W2090981944 @default.
- W3157678233 cites W2124794572 @default.
- W3157678233 cites W2137351756 @default.
- W3157678233 cites W2159128662 @default.
- W3157678233 cites W2413484043 @default.
- W3157678233 cites W2509591188 @default.
- W3157678233 cites W2524372520 @default.
- W3157678233 cites W2550329658 @default.
- W3157678233 cites W2571067114 @default.
- W3157678233 cites W2607113351 @default.
- W3157678233 cites W2625392185 @default.
- W3157678233 cites W2759348285 @default.
- W3157678233 cites W2776897388 @default.
- W3157678233 cites W2963901460 @default.
- W3157678233 doi "https://doi.org/10.35940/ijrte.f5385.039621" @default.
- W3157678233 hasPublicationYear "2021" @default.
- W3157678233 type Work @default.
- W3157678233 sameAs 3157678233 @default.
- W3157678233 citedByCount "1" @default.
- W3157678233 countsByYear W31576782332022 @default.
- W3157678233 crossrefType "journal-article" @default.
- W3157678233 hasAuthorship W3157678233A5065380526 @default.
- W3157678233 hasBestOaLocation W31576782331 @default.
- W3157678233 hasConcept C10511746 @default.
- W3157678233 hasConcept C111919701 @default.
- W3157678233 hasConcept C113993141 @default.
- W3157678233 hasConcept C119487961 @default.
- W3157678233 hasConcept C119857082 @default.
- W3157678233 hasConcept C124101348 @default.
- W3157678233 hasConcept C136764020 @default.
- W3157678233 hasConcept C148730421 @default.
- W3157678233 hasConcept C154945302 @default.
- W3157678233 hasConcept C202444582 @default.
- W3157678233 hasConcept C33923547 @default.
- W3157678233 hasConcept C38652104 @default.
- W3157678233 hasConcept C41008148 @default.
- W3157678233 hasConcept C50644808 @default.
- W3157678233 hasConcept C71745522 @default.
- W3157678233 hasConcept C75684735 @default.
- W3157678233 hasConcept C79974875 @default.
- W3157678233 hasConcept C85617194 @default.
- W3157678233 hasConcept C9652623 @default.
- W3157678233 hasConceptScore W3157678233C10511746 @default.
- W3157678233 hasConceptScore W3157678233C111919701 @default.
- W3157678233 hasConceptScore W3157678233C113993141 @default.
- W3157678233 hasConceptScore W3157678233C119487961 @default.
- W3157678233 hasConceptScore W3157678233C119857082 @default.
- W3157678233 hasConceptScore W3157678233C124101348 @default.
- W3157678233 hasConceptScore W3157678233C136764020 @default.
- W3157678233 hasConceptScore W3157678233C148730421 @default.
- W3157678233 hasConceptScore W3157678233C154945302 @default.
- W3157678233 hasConceptScore W3157678233C202444582 @default.
- W3157678233 hasConceptScore W3157678233C33923547 @default.
- W3157678233 hasConceptScore W3157678233C38652104 @default.
- W3157678233 hasConceptScore W3157678233C41008148 @default.
- W3157678233 hasConceptScore W3157678233C50644808 @default.
- W3157678233 hasConceptScore W3157678233C71745522 @default.
- W3157678233 hasConceptScore W3157678233C75684735 @default.
- W3157678233 hasConceptScore W3157678233C79974875 @default.
- W3157678233 hasConceptScore W3157678233C85617194 @default.
- W3157678233 hasConceptScore W3157678233C9652623 @default.
- W3157678233 hasIssue "6" @default.
- W3157678233 hasLocation W31576782331 @default.
- W3157678233 hasLocation W31576782332 @default.
- W3157678233 hasOpenAccess W3157678233 @default.
- W3157678233 hasPrimaryLocation W31576782331 @default.
- W3157678233 hasRelatedWork W2324831660 @default.
- W3157678233 hasRelatedWork W2753722581 @default.
- W3157678233 hasRelatedWork W2994070184 @default.
- W3157678233 hasRelatedWork W3001330582 @default.
- W3157678233 hasRelatedWork W3014300295 @default.
- W3157678233 hasRelatedWork W3108519568 @default.
- W3157678233 hasRelatedWork W3154145749 @default.
- W3157678233 hasRelatedWork W3157678233 @default.
- W3157678233 hasRelatedWork W3208380362 @default.
- W3157678233 hasRelatedWork W4385864097 @default.
- W3157678233 hasVolume "9" @default.
- W3157678233 isParatext "false" @default.
- W3157678233 isRetracted "false" @default.
- W3157678233 magId "3157678233" @default.
- W3157678233 workType "article" @default.