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Advances in knowledge discovery in databases
This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association mea...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2015
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-13212-9 http://cds.cern.ch/record/1980529 |
_version_ | 1780945251136962560 |
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author | Adhikari, Animesh Adhikari, Jhimli |
author_facet | Adhikari, Animesh Adhikari, Jhimli |
author_sort | Adhikari, Animesh |
collection | CERN |
description | This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis. |
id | cern-1980529 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | Springer |
record_format | invenio |
spelling | cern-19805292021-04-21T20:38:24Zdoi:10.1007/978-3-319-13212-9http://cds.cern.ch/record/1980529engAdhikari, AnimeshAdhikari, JhimliAdvances in knowledge discovery in databasesEngineeringThis book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis. Springeroai:cds.cern.ch:19805292015 |
spellingShingle | Engineering Adhikari, Animesh Adhikari, Jhimli Advances in knowledge discovery in databases |
title | Advances in knowledge discovery in databases |
title_full | Advances in knowledge discovery in databases |
title_fullStr | Advances in knowledge discovery in databases |
title_full_unstemmed | Advances in knowledge discovery in databases |
title_short | Advances in knowledge discovery in databases |
title_sort | advances in knowledge discovery in databases |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-319-13212-9 http://cds.cern.ch/record/1980529 |
work_keys_str_mv | AT adhikarianimesh advancesinknowledgediscoveryindatabases AT adhikarijhimli advancesinknowledgediscoveryindatabases |