Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Adhikari, Animesh, Adhikari, Jhimli
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-13212-9
http://cds.cern.ch/record/1980529
_version_ 1780945251136962560
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