Advances in Knowledge Discovery in Databases
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Beschreibung
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.
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.
Recent Research in Knowledge Discovery in Databases (KDD) Presents advances in the areas of market basket database, time-stamped databases and multiple related databases Reports various interesting and intelligent algorithms on data mining tasks Includes supplementary material: sn.pub/extras
Autor*in
Animesh Adhikari
Themen in »Advances in Knowledge Discovery in Databases«
Data Mining Intelligent Systems KDD Knowledge Discovery in Databases Market Based Database Multiple Related Database Time-stamped Database