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Data exploration systems for databases
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Greene, Richard J. Hield, Christopher |
| Copyright Year | 1992 |
| Description | Data exploration systems apply machine learning techniques, multivariate statistical methods, information theory, and database theory to databases to identify significant relationships among the data and summarize information. The result of applying data exploration systems should be a better understanding of the structure of the data and a perspective of the data enabling an analyst to form hypotheses for interpreting the data. This paper argues that data exploration systems need a minimum amount of domain knowledge to guide both the statistical strategy and the interpretation of the resulting patterns discovered by these systems. |
| File Size | 1042918 |
| Page Count | 14 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19920014131 |
| Archival Resource Key | ark:/13960/t86h9gd13 |
| Language | English |
| Publisher Date | 1992-01-01 |
| Access Restriction | Open |
| Subject Keyword | Documentation And Information Science Hypotheses Statistical Analysis Data Management Machine Learning Data Systems Artificial Intelligence Data Bases Information Theory Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
