A State-of-the-Art Review of Knowledge Discovery in Multiple Databases
| Autor: | Animesh Adhikari, Lakhmi C. Jain, Bhanu Prasad |
|---|---|
| Přispěvatelé: | Adhikari, Animesh, Jain, Lakhmi C, Prasad, Bhanu |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Computer science
Science InformationSystems_DATABASEMANAGEMENT data preparation in multi-database environment 02 engineering and technology State of the art review 68t10 QA75.5-76.95 computer.software_genre 01 natural sciences Data science Knowledge extraction Artificial Intelligence Electronic computers. Computer science 0103 physical sciences multi-database mining 0202 electrical engineering electronic engineering information engineering patterns in multiple databases 020201 artificial intelligence & image processing Data mining 010306 general physics computer Software Information Systems |
| Zdroj: | Journal of Intelligent Systems, Vol 26, Iss 1, Pp 23-34 (2017) |
| ISSN: | 0334-1860 |
| Popis: | Knowledge discovery in multiple databases offers many opportunities and challenges. We have given a number of motivating points on knowledge discovery in multiple databases. In view of further studies on this aspect, we highlight some domains that generated numerous problems on multiple related databases. Activities related to data preprocessing in a multi-database mining environment are also discussed. Important techniques of mining multiple databases are outlined. Many interesting patterns that originated out of multi-database environments are highlighted. We shall witness more research outcomes and investigations as the number of multi-database domains is on the rise. |
| Databáze: | OpenAIRE |
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