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A computational theoretical approach for mining data on transient events from databases of high ener...

A computational theoretical approach for mining data on transient events from databases of high ener...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2387879545

A computational theoretical approach for mining data on transient events from databases of high energy astrophysics experiments

About this item

Full title

A computational theoretical approach for mining data on transient events from databases of high energy astrophysics experiments

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2020-04

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Data on transient events, like GRBs, are often contained in large databases of unstructured data from space experiments, merged with potentially large amount of background or simply undesired information. We present a computational formal model to apply techniques of modern computer science -such as Data Mining (DM) and Knowledge Discovering in Dat...

Alternative Titles

Full title

A computational theoretical approach for mining data on transient events from databases of high energy astrophysics experiments

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2387879545

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2387879545

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2004.04131

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