INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE
Data Mining is a broad term often used to describe the process of using database technology, modeling techniques, statistical analysis, and machine learning to analyze large amounts of data in an automated fashion to discover hidden patterns and predictive information in the data. By building highly...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Dunarea de Jos University of Galati
2006-01-01
|
| Series: | Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics |
| Subjects: | |
| Online Access: | http://www.ann.ugal.ro/eco/Doc%202006/5.%20OK%20Cristina_Enache_Anale.pdf |
| id |
doaj-702425f9782048348225a03cd1f9fa2a |
|---|---|
| record_format |
Article |
| spelling |
doaj-702425f9782048348225a03cd1f9fa2a2020-11-24T23:16:15ZengDunarea de Jos University of GalatiAnnals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics1584-04092006-01-0112528INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCEMaria Cristina ENACHEData Mining is a broad term often used to describe the process of using database technology, modeling techniques, statistical analysis, and machine learning to analyze large amounts of data in an automated fashion to discover hidden patterns and predictive information in the data. By building highly complex and sophisticated statistical and mathematical models, organizations can gain new insight into their activities. The purpose of this document is to provide users with a background of a few key data mining concepts and business intelligence and about benefits of integrating business intelligence and data mining.http://www.ann.ugal.ro/eco/Doc%202006/5.%20OK%20Cristina_Enache_Anale.pdfBusiness Intelligenceplatformdata mining |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Maria Cristina ENACHE |
| spellingShingle |
Maria Cristina ENACHE INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics Business Intelligence platform data mining |
| author_facet |
Maria Cristina ENACHE |
| author_sort |
Maria Cristina ENACHE |
| title |
INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE |
| title_short |
INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE |
| title_full |
INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE |
| title_fullStr |
INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE |
| title_full_unstemmed |
INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE |
| title_sort |
integrating data mining into business intelligence |
| publisher |
Dunarea de Jos University of Galati |
| series |
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics |
| issn |
1584-0409 |
| publishDate |
2006-01-01 |
| description |
Data Mining is a broad term often used to describe the process of using database technology, modeling techniques, statistical analysis, and machine learning to analyze large amounts of data in an automated fashion to discover hidden patterns and predictive information in the data. By building highly complex and sophisticated statistical and mathematical models, organizations can gain new insight into their activities. The purpose of this document is to provide users with a background of a few key data mining concepts and business intelligence and about benefits of integrating business intelligence and data mining. |
| topic |
Business Intelligence platform data mining |
| url |
http://www.ann.ugal.ro/eco/Doc%202006/5.%20OK%20Cristina_Enache_Anale.pdf |
| work_keys_str_mv |
AT mariacristinaenache integratingdataminingintobusinessintelligence |
| _version_ |
1725588089130188800 |