Unsupervised Adaptive Clustering for Data Prospecting and Data Mining
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Description: By Ben A. Hitt, Ph.D. - American Heuristics Corporation. Automated tools must be developed to help extract meaningful information from a morass of information. Moreover, these tools must be sophisticated enough to search for correlations among the data unspecified by the user, as the potential for unforeseen relationships to exist among the data is very high.
Unsupervised Adaptive Clustering for Data Prospecting and Data Mining THE DATA ADMINISTRATION NEWSLETTER – TDAN.com ROBERT S. SEINER – PUBLISHER Unsupervised Adaptive Clustering for Data Prospecting and Data Mining
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| Page title: | Unsupervised Adaptive Clustering for Data Prospecting and Data Mining |
| Keywords: | business intelligence, data warehousing, data management, analytics, claudia imhoff, bill inmon, data quality, data integration, knowledge management, crm, data marts, data mining, business performance management, bpm, data modeling, meta data, enterprise application management, erp, rfid, storage, supply chain, real time enterprise, query and reporting, data acquisition, government, financial services |
| Description: | The Data Administration Newsletter delivers business intelligence, data warehousing and analytics resources provided by Claudia Imhoff, Bill Inmon and other experts. Additional topics include data quality, data integration, CRM, data marts, data mining, business performance management, BPM, data modeling, enterprise application management, ERP, RFID, storage, supply chain and others. |
| IP-address: | 206.19.49.169 |
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| NS | Name Server: NS.TECHTARGET.COM Name Server: NS3.TECHTARGET.COM |
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| Date | Creation Date: 30-jan-1998 Expiration Date: 29-jan-2016 |