Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2228
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dc.contributor.authorSangam, M Biradar-
dc.contributor.authorShekhar, R-
dc.contributor.authorReddy, Pranayanath-
dc.date.accessioned2023-12-09T08:56:01Z-
dc.date.available2023-12-09T08:56:01Z-
dc.date.issued2020-
dc.identifier.citationVol. 33; pp. 116-126en_US
dc.identifier.isbn9783030283636-
dc.identifier.isbn9783030283643-
dc.identifier.issn2367-4512-
dc.identifier.issn2367-4520-
dc.identifier.urihttps://doi.org/10.1007/978-3-030-28364-3_11-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2228-
dc.description.abstractAlgorithms are the crucial and important part for any research and developments. Algorithms are usually published in the scientific publications, journals, conference papers or thesis. Algorithms plays important role especially in the computational and research areas where the researchers and developers look for the innovations. Therefore there is need for a search system which automatically searches for algorithms from the scholarly big data. Algo_Seer is been proposed as part of CiteSeer system which automatically searches for pseudo codes and algorithmic procedures and performs indexing, analysis and ranking to extract the algorithms. This work proposes a search system Algo_Seer which utilizes a novel arrangement of procedures such as rule based method, machine learning methods to recognize, separate and extract the calculated algorithms from the academic reports. Particularly mixture troupe machine learning systems are utilized to obtain the efficient results. © 2020, Springer Nature Switzerland AG.en_US
dc.language.isoenen_US
dc.publisherIntelligent Communication Technologies and Virtual Mobile Networks: ICICV 2019en_US
dc.subjectAlgorithmic proceduresen_US
dc.subjectAlgo_Seeren_US
dc.subjectCiteSeeren_US
dc.subjectPseudo codesen_US
dc.subjectRule based methoden_US
dc.subjectTroupe machine learningen_US
dc.titleAlgo_Seer: System For Extracting and Searching Algorithms In Scholarly Big Dataen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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