Matches in SemOpenAlex for { <https://semopenalex.org/work/W3118376998> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W3118376998 endingPage "101710" @default.
- W3118376998 startingPage "101710" @default.
- W3118376998 abstract "Principal Component Analysis (PCA) is a widely popular technique for reducing the dimensionality of a dataset. Interestingly, when dimensions of the dataset grow too large, existing state-of-the-art methods for PCA face scalability issue due to the explosion of intermediate data. Moreover, in a geographically distributed environment where most of today’s data are originally generated, these methods require unnecessary data transmissions as they apply centralized algorithms for PCA and thus are proven to be inefficient. To solve these problems, we take advantage of the zero-noise-limit Probabilistic PCA model, which provably outputs the correct principal components, and introduce a block-division method for it in order to suppress the explosion of intermediate data efficiently. We employ several optimization ideas such as mean propagation for preserving sparsity, dynamic tuning of the number of blocks to automatically adjust to large dimensions, etc. Additionally, in the geo-distributed environment, we propose a communication efficient solution by reducing idle time, passing only the required parameters, and choosing geographically ideal central datacenter for faster accumulation. We refer to our algorithm as TallnWide. Our empirical evaluation with real datasets shows that TallnWide can successfully handle significantly higher dimensional data (10×) than existing methods, and offer up to 2.9× improvement in running time in the geo-distributed environment compared to the conventional approaches. For reproducibility and extensibility of our work, we make the source code of TallnWide publicly available at https://github.com/tmadnan10/TallnWide." @default.
- W3118376998 created "2021-01-18" @default.
- W3118376998 creator A5038514843 @default.
- W3118376998 creator A5053305093 @default.
- W3118376998 creator A5059669108 @default.
- W3118376998 date "2021-05-01" @default.
- W3118376998 modified "2023-09-27" @default.
- W3118376998 title "Fast, scalable and geo-distributed PCA for big data analytics" @default.
- W3118376998 cites W1964455610 @default.
- W3118376998 cites W2004255221 @default.
- W3118376998 cites W2041517243 @default.
- W3118376998 cites W2063329254 @default.
- W3118376998 cites W2079885973 @default.
- W3118376998 cites W2099242680 @default.
- W3118376998 cites W2101196063 @default.
- W3118376998 cites W2114060717 @default.
- W3118376998 cites W2117756735 @default.
- W3118376998 cites W2119528150 @default.
- W3118376998 cites W2125027820 @default.
- W3118376998 cites W2146897752 @default.
- W3118376998 cites W2149140091 @default.
- W3118376998 cites W2154983209 @default.
- W3118376998 cites W2158548804 @default.
- W3118376998 cites W2743167307 @default.
- W3118376998 cites W2783850392 @default.
- W3118376998 cites W3000407226 @default.
- W3118376998 cites W3045358720 @default.
- W3118376998 doi "https://doi.org/10.1016/j.is.2020.101710" @default.
- W3118376998 hasPublicationYear "2021" @default.
- W3118376998 type Work @default.
- W3118376998 sameAs 3118376998 @default.
- W3118376998 citedByCount "4" @default.
- W3118376998 countsByYear W31183769982021 @default.
- W3118376998 countsByYear W31183769982022 @default.
- W3118376998 crossrefType "journal-article" @default.
- W3118376998 hasAuthorship W3118376998A5038514843 @default.
- W3118376998 hasAuthorship W3118376998A5053305093 @default.
- W3118376998 hasAuthorship W3118376998A5059669108 @default.
- W3118376998 hasConcept C111030470 @default.
- W3118376998 hasConcept C111919701 @default.
- W3118376998 hasConcept C119857082 @default.
- W3118376998 hasConcept C120314980 @default.
- W3118376998 hasConcept C124101348 @default.
- W3118376998 hasConcept C154945302 @default.
- W3118376998 hasConcept C2524010 @default.
- W3118376998 hasConcept C27438332 @default.
- W3118376998 hasConcept C2777210771 @default.
- W3118376998 hasConcept C33923547 @default.
- W3118376998 hasConcept C41008148 @default.
- W3118376998 hasConcept C43126263 @default.
- W3118376998 hasConcept C48044578 @default.
- W3118376998 hasConcept C49937458 @default.
- W3118376998 hasConcept C70518039 @default.
- W3118376998 hasConcept C75684735 @default.
- W3118376998 hasConcept C77088390 @default.
- W3118376998 hasConcept C79158427 @default.
- W3118376998 hasConcept C79974875 @default.
- W3118376998 hasConceptScore W3118376998C111030470 @default.
- W3118376998 hasConceptScore W3118376998C111919701 @default.
- W3118376998 hasConceptScore W3118376998C119857082 @default.
- W3118376998 hasConceptScore W3118376998C120314980 @default.
- W3118376998 hasConceptScore W3118376998C124101348 @default.
- W3118376998 hasConceptScore W3118376998C154945302 @default.
- W3118376998 hasConceptScore W3118376998C2524010 @default.
- W3118376998 hasConceptScore W3118376998C27438332 @default.
- W3118376998 hasConceptScore W3118376998C2777210771 @default.
- W3118376998 hasConceptScore W3118376998C33923547 @default.
- W3118376998 hasConceptScore W3118376998C41008148 @default.
- W3118376998 hasConceptScore W3118376998C43126263 @default.
- W3118376998 hasConceptScore W3118376998C48044578 @default.
- W3118376998 hasConceptScore W3118376998C49937458 @default.
- W3118376998 hasConceptScore W3118376998C70518039 @default.
- W3118376998 hasConceptScore W3118376998C75684735 @default.
- W3118376998 hasConceptScore W3118376998C77088390 @default.
- W3118376998 hasConceptScore W3118376998C79158427 @default.
- W3118376998 hasConceptScore W3118376998C79974875 @default.
- W3118376998 hasFunder F4320325821 @default.
- W3118376998 hasLocation W31183769981 @default.
- W3118376998 hasOpenAccess W3118376998 @default.
- W3118376998 hasPrimaryLocation W31183769981 @default.
- W3118376998 hasRelatedWork W1995622179 @default.
- W3118376998 hasRelatedWork W2012491005 @default.
- W3118376998 hasRelatedWork W2097463421 @default.
- W3118376998 hasRelatedWork W2364921833 @default.
- W3118376998 hasRelatedWork W2599424341 @default.
- W3118376998 hasRelatedWork W2606853126 @default.
- W3118376998 hasRelatedWork W2771038650 @default.
- W3118376998 hasRelatedWork W2910780475 @default.
- W3118376998 hasRelatedWork W2921086987 @default.
- W3118376998 hasRelatedWork W4200080476 @default.
- W3118376998 hasVolume "98" @default.
- W3118376998 isParatext "false" @default.
- W3118376998 isRetracted "false" @default.
- W3118376998 magId "3118376998" @default.
- W3118376998 workType "article" @default.