Advances in Knowledge Discovery in Databases

· Intelligent Systems Reference Library Ibhuku elingu-79 · Springer
I-Ebook
370
Amakhasi
Izilinganiso nezibuyekezo aziqinisekisiwe  Funda Kabanzi

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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.

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