Advances in Knowledge Discovery in Databases
Material type: TextSeries: Publication details: New York Springer 2015Description: 1 online resource (XV, 370 pages 136 illustrations)ISBN: 9783319132129Subject(s): Artificial intelligence | Computational intelligence | Data mining | Computational Intelligence | Artificial Intelligence | Data Mining and Knowledge DiscoveryDDC classification: 006.3 Summary: 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..Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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BK | Stack | Stack | 006.3 ANI/A (Browse shelf (Opens below)) | Available | 59643 |
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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