Advances in Knowledge Discovery in Databases / / by Animesh Adhikari, Jhimli Adhikari
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| Autore: |
Adhikari Animesh
|
| Titolo: |
Advances in Knowledge Discovery in Databases / / by Animesh Adhikari, Jhimli Adhikari
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Edizione: | 1st ed. 2015. |
| Descrizione fisica: | 1 online resource (377 p.) |
| Disciplina: | 006.312 |
| Soggetto topico: | Computational intelligence |
| Data mining | |
| Artificial intelligence | |
| Computational Intelligence | |
| Data Mining and Knowledge Discovery | |
| Artificial Intelligence | |
| Persona (resp. second.): | AdhikariJhimli |
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Introduction -- Synthesizing conditional patterns in a database -- Synthesizing arbitrary Boolean expressions induced by frequent itemsets -- Measuring association among items in a database -- Mining association rules induced by item and quantity purchased -- Mining patterns different related databases -- Mining icebergs in different time-stamped data sources.-Synthesizing exceptional patterns in different data Sources -- Clustering items in time-stamped databases -- Synthesizing some extreme association rules from multiple databases -- Clustering local frequency items in multiple data sources -- Mining patterns of select items in different data sources -- Mining calendar-based periodic patterns in time-stamped data -- Measuring influence of an item in time-stamped databases -- Clustering multiple databases induced by local patterns -- Enhancing quality of patterns in multiple related databases -- Concluding remarks. |
| Sommario/riassunto: | 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. . |
| Titolo autorizzato: | Advances in Knowledge Discovery in Databases |
| ISBN: | 3-319-13212-1 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910299679503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Intelligent Systems Reference Library, . 1868-4394 ; ; 79