Histogram bin interval approximation

Using approximated bin intervals to label the histograms provides clarity and allows for the histogram to be more intuitively understood. A dataset may comprise a plurality of records having a plurality of features including one or more continuous features. A selection of a continuous feature may be...

Full description

Saved in:
Bibliographic Details
Main Authors Kaufmann, Malte Christian, O'Hara, Paul, Ortiz, Esther Rodrigo, White, Conor
Format Patent
LanguageEnglish
Published 22.08.2023
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Using approximated bin intervals to label the histograms provides clarity and allows for the histogram to be more intuitively understood. A dataset may comprise a plurality of records having a plurality of features including one or more continuous features. A selection of a continuous feature may be obtained. A bin width based on a number of bins and feature statistics of the continuous feature may be determined. An approximated bin interval range is determined by applying a bin mask based on the bin width to the feature statistics. An approximated bin width is determined based on the number of bins and the approximated bin interval range. Approximated bin intervals for the histogram are determined based on the approximated bin width. A histogram is generated having bins with intervals based the approximated bin intervals.
AbstractList Using approximated bin intervals to label the histograms provides clarity and allows for the histogram to be more intuitively understood. A dataset may comprise a plurality of records having a plurality of features including one or more continuous features. A selection of a continuous feature may be obtained. A bin width based on a number of bins and feature statistics of the continuous feature may be determined. An approximated bin interval range is determined by applying a bin mask based on the bin width to the feature statistics. An approximated bin width is determined based on the number of bins and the approximated bin interval range. Approximated bin intervals for the histogram are determined based on the approximated bin width. A histogram is generated having bins with intervals based the approximated bin intervals.
Author O'Hara, Paul
White, Conor
Kaufmann, Malte Christian
Ortiz, Esther Rodrigo
Author_xml – fullname: Kaufmann, Malte Christian
– fullname: O'Hara, Paul
– fullname: Ortiz, Esther Rodrigo
– fullname: White, Conor
BookMark eNrjYmDJy89L5WRQ8cgsLslPL0rMVUjKzFPIzCtJLSpLzFFILCgoyq_IzE0syczP42FgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8aHBhobmxiYWZiZORsbEqAEAJuApOA
ContentType Patent
DBID EVB
DatabaseName esp@cenet
DatabaseTitleList
Database_xml – sequence: 1
  dbid: EVB
  name: esp@cenet
  url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP
  sourceTypes: Open Access Repository
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Chemistry
Sciences
Physics
ExternalDocumentID US11734864B2
GroupedDBID EVB
ID FETCH-epo_espacenet_US11734864B23
IEDL.DBID EVB
IngestDate Fri Jul 19 13:04:49 EDT 2024
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-epo_espacenet_US11734864B23
Notes Application Number: US202117514801
OpenAccessLink https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230822&DB=EPODOC&CC=US&NR=11734864B2
ParticipantIDs epo_espacenet_US11734864B2
PublicationCentury 2000
PublicationDate 20230822
PublicationDateYYYYMMDD 2023-08-22
PublicationDate_xml – month: 08
  year: 2023
  text: 20230822
  day: 22
PublicationDecade 2020
PublicationYear 2023
RelatedCompanies Business Objects Software Ltd
RelatedCompanies_xml – name: Business Objects Software Ltd
Score 3.4819486
Snippet Using approximated bin intervals to label the histograms provides clarity and allows for the histogram to be more intuitively understood. A dataset may...
SourceID epo
SourceType Open Access Repository
SubjectTerms CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
Title Histogram bin interval approximation
URI https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230822&DB=EPODOC&locale=&CC=US&NR=11734864B2
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8NAEB5Kfd40KrY-iFByC6bbNOklCNkkFKEPbCO9lX0kEJFamoj-fGfX1HrRw152YV8w-83sfvMtQMdjLEegdG2HOb7tekLaXDqZPcBQQPSYi0VlI4_G3jB1Hxf9RQNetrkwWif0Q4sjokUJtPdKn9fr3SVWpLmV5T0vsOrtIZkHkVVHx0SJrxArCoN4Ookm1KI0SGfW-CnodpWMi-eGeFzvoRvtK_pX_ByqrJT1b0hJTmB_ir2tqlNoZCsDjuj25zUDDkf1g7cBB5qhKUqsrK2wPIOO1vZQtCoT41qz0LRF9mpqffDP4jsZ8RzuknhOhzYOvPxZ5TKd7ebYu4AmRv_ZJZgEHapccC4lAr_vIbxnkudS-mTQR19GtKD9dz_t_xqv4FjtmLogJeQamtXmPbtBhK34rd6aL9hrf_M
link.rule.ids 230,309,783,888,25578,76884
linkProvider European Patent Office
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LT4NAEJ409VFvihqtL0wabkS6pcCFmPAKaqGNBdMbARYSjKmNYPTnO7tS60UPe5lN9pXMfDO7M98CDLQ0LREoVVlJFV1WtZzKGVUK2cBQIB-lKjZWjRyEmh-r94vxogPP61oYzhP6wckRUaNy1PeG2-vV5hLL4bmV9U1Woej11otMR2qjY8LIV4jkWKY7mzpTW7JtM55L4aM5HDIaF0210FxvoYttMJ5998liVSmr35Di7cP2DEdbNgfQKZYC9Oz1z2sC7Abtg7cAOzxDM69R2GphfQgDzu3B0qpEjGvFiqctpi8i5wf_rL6LEY_g2nMj25dx4uRnl0k836xxdAxdjP6LExAJOlRlnmWUIvDrGsJ7QbOSUp0YY_Rl8lPo_z1O_7_OK-j5UTBJJnfhwxnssdNjl6WEnEO3eXsvLhBtm-ySH9MXAAyC4w
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=Histogram+bin+interval+approximation&rft.inventor=Kaufmann%2C+Malte+Christian&rft.inventor=O%27Hara%2C+Paul&rft.inventor=Ortiz%2C+Esther+Rodrigo&rft.inventor=White%2C+Conor&rft.date=2023-08-22&rft.externalDBID=B2&rft.externalDocID=US11734864B2