Matches in SemOpenAlex for { <https://semopenalex.org/work/W3166355540> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W3166355540 endingPage "244" @default.
- W3166355540 startingPage "238" @default.
- W3166355540 abstract "Internet of Things (IoT) is a growing technology in all fields of science and engineering. The amount of data emitted by the sensors used in the various fields is high. Therefore, efficient knowledge from such large datasets is a clear requirement of many users. This large data is far from perfect; it has many defects (such as noise, missing values, outliers etc.) and is not suitable for analysis because it can lead to incorrect conclusions. So, data preprocessing is a required technique for such data. Data preprocessing is an important and essential step, the main goal of which is to dedicate techniques to clean, refine, repair and improve that raw data. This paper proposes a survey on IoT data preprocessing and its techniques. This paper discusses exiting research on data preprocessing in the IoT context and, introduces the background of IoT data preprocessing and present literature reviews of the advanced research on data preprocessing techniques. The classification of various preprocessing approaches with techniques is clearly depicted in the figure. Various approaches of preprocessing cleaning, transformation, reduction and integration are described. In addition, methods for such approaches in IoT data preprocessing are also discussed. IoT Data preprocessing techniques on various applications are tabulated. Finally, issues and challenges, most useful in future work, are discussed." @default.
- W3166355540 created "2021-06-22" @default.
- W3166355540 creator A5069526435 @default.
- W3166355540 date "2021-04-24" @default.
- W3166355540 modified "2023-09-23" @default.
- W3166355540 title "Survey on IoT Data Preprocessing" @default.
- W3166355540 doi "https://doi.org/10.17762/turcomat.v12i9.3001" @default.
- W3166355540 hasPublicationYear "2021" @default.
- W3166355540 type Work @default.
- W3166355540 sameAs 3166355540 @default.
- W3166355540 citedByCount "1" @default.
- W3166355540 countsByYear W31663555402022 @default.
- W3166355540 crossrefType "journal-article" @default.
- W3166355540 hasAuthorship W3166355540A5069526435 @default.
- W3166355540 hasConcept C10551718 @default.
- W3166355540 hasConcept C124101348 @default.
- W3166355540 hasConcept C132964779 @default.
- W3166355540 hasConcept C136764020 @default.
- W3166355540 hasConcept C151730666 @default.
- W3166355540 hasConcept C154945302 @default.
- W3166355540 hasConcept C199360897 @default.
- W3166355540 hasConcept C23123220 @default.
- W3166355540 hasConcept C2522767166 @default.
- W3166355540 hasConcept C2779343474 @default.
- W3166355540 hasConcept C34736171 @default.
- W3166355540 hasConcept C41008148 @default.
- W3166355540 hasConcept C79337645 @default.
- W3166355540 hasConcept C81860439 @default.
- W3166355540 hasConcept C86803240 @default.
- W3166355540 hasConceptScore W3166355540C10551718 @default.
- W3166355540 hasConceptScore W3166355540C124101348 @default.
- W3166355540 hasConceptScore W3166355540C132964779 @default.
- W3166355540 hasConceptScore W3166355540C136764020 @default.
- W3166355540 hasConceptScore W3166355540C151730666 @default.
- W3166355540 hasConceptScore W3166355540C154945302 @default.
- W3166355540 hasConceptScore W3166355540C199360897 @default.
- W3166355540 hasConceptScore W3166355540C23123220 @default.
- W3166355540 hasConceptScore W3166355540C2522767166 @default.
- W3166355540 hasConceptScore W3166355540C2779343474 @default.
- W3166355540 hasConceptScore W3166355540C34736171 @default.
- W3166355540 hasConceptScore W3166355540C41008148 @default.
- W3166355540 hasConceptScore W3166355540C79337645 @default.
- W3166355540 hasConceptScore W3166355540C81860439 @default.
- W3166355540 hasConceptScore W3166355540C86803240 @default.
- W3166355540 hasIssue "9" @default.
- W3166355540 hasLocation W31663555401 @default.
- W3166355540 hasOpenAccess W3166355540 @default.
- W3166355540 hasPrimaryLocation W31663555401 @default.
- W3166355540 hasRelatedWork W1593053852 @default.
- W3166355540 hasRelatedWork W2007143696 @default.
- W3166355540 hasRelatedWork W2189038591 @default.
- W3166355540 hasRelatedWork W2342673226 @default.
- W3166355540 hasRelatedWork W2694221692 @default.
- W3166355540 hasRelatedWork W271996680 @default.
- W3166355540 hasRelatedWork W2741938435 @default.
- W3166355540 hasRelatedWork W2768907601 @default.
- W3166355540 hasRelatedWork W2799573905 @default.
- W3166355540 hasRelatedWork W2973760770 @default.
- W3166355540 hasRelatedWork W3045411184 @default.
- W3166355540 hasRelatedWork W3048817225 @default.
- W3166355540 hasRelatedWork W3097618751 @default.
- W3166355540 hasRelatedWork W3116748500 @default.
- W3166355540 hasRelatedWork W3129796818 @default.
- W3166355540 hasRelatedWork W3138639388 @default.
- W3166355540 hasRelatedWork W3187430725 @default.
- W3166355540 hasRelatedWork W3208722131 @default.
- W3166355540 hasRelatedWork W83984544 @default.
- W3166355540 hasRelatedWork W2565982574 @default.
- W3166355540 hasVolume "12" @default.
- W3166355540 isParatext "false" @default.
- W3166355540 isRetracted "false" @default.
- W3166355540 magId "3166355540" @default.
- W3166355540 workType "article" @default.