224,54 €
249,49 €
-10% with code: EXTRA
Advances in Knowledge Discovery in Databases
Advances in Knowledge Discovery in Databases
224,54
249,49 €
  • We will send in 10–14 business days.
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,…
  • Publisher:
  • Year: 2015
  • Pages: 370
  • ISBN-10: 3319132113
  • ISBN-13: 9783319132112
  • Format: 15.6 x 23.4 x 2.2 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

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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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  • Author: Animesh Adhikari
  • Publisher:
  • Year: 2015
  • Pages: 370
  • ISBN-10: 3319132113
  • ISBN-13: 9783319132112
  • Format: 15.6 x 23.4 x 2.2 cm, hardcover
  • Language: English English

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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