Data mining: the search for knowledge in databases
Abstract: "Data mining is the search for relationships and global patterns that exist in large databases, but are 'hidden' among the vast amounts of data, such as a relationship between patient data and their medical diagnosis. These relationships represent valuable knowledge about th...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
1994
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| Schriftenreihe: | Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS
94,6 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "Data mining is the search for relationships and global patterns that exist in large databases, but are 'hidden' among the vast amounts of data, such as a relationship between patient data and their medical diagnosis. These relationships represent valuable knowledge about the database and objects in the database and, if the database is a faithful mirror, of the real world registered by the database. One of the main problems for data mining is that the number of possible relationships is very large, thus prohibiting the search for the correct ones by simple [sic] validating each of them. Hence, we need intelligent search strategies, as taken from the area of machine learning. Another important problem is that information in data objects is often corrupted or missing. Hence, statistical techniques should be applied to estimate the reliability of the discovered relationships. This report provides a survey of current data mining research, it presents the main underlying ideas, such as inductive learning, and search strategies and knowledge representations used in data mine systems. Furthermore, it describes the most important problems and their solutions, and provides an [sic] survey of research projects." |
| Beschreibung: | 78 S. |
Internformat
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| 245 | 1 | 0 | |a Data mining |b the search for knowledge in databases |c M. Holsheimer ; A. P. J. M. Siebes |
| 264 | 1 | |a Amsterdam |c 1994 | |
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| 490 | 1 | |a Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS |v 94,6 | |
| 520 | 3 | |a Abstract: "Data mining is the search for relationships and global patterns that exist in large databases, but are 'hidden' among the vast amounts of data, such as a relationship between patient data and their medical diagnosis. These relationships represent valuable knowledge about the database and objects in the database and, if the database is a faithful mirror, of the real world registered by the database. One of the main problems for data mining is that the number of possible relationships is very large, thus prohibiting the search for the correct ones by simple [sic] validating each of them. Hence, we need intelligent search strategies, as taken from the area of machine learning. Another important problem is that information in data objects is often corrupted or missing. Hence, statistical techniques should be applied to estimate the reliability of the discovered relationships. This report provides a survey of current data mining research, it presents the main underlying ideas, such as inductive learning, and search strategies and knowledge representations used in data mine systems. Furthermore, it describes the most important problems and their solutions, and provides an [sic] survey of research projects." | |
| 650 | 4 | |a Databases | |
| 700 | 1 | |a Siebes, Arno P. |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Computer Science: Report CS |t Centrum voor Wiskunde en Informatica <Amsterdam> |v 94,6 |w (DE-604)BV008928356 |9 94,6 | |
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Datensatz im Suchindex
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| author | Holsheimer, Marcel Siebes, Arno P. |
| author_facet | Holsheimer, Marcel Siebes, Arno P. |
| author_role | aut aut |
| author_sort | Holsheimer, Marcel |
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| building | Verbundindex |
| bvnumber | BV010157031 |
| ctrlnum | (OCoLC)31639692 (DE-599)BVBBV010157031 |
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| id | DE-604.BV010157031 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:47:30Z |
| institution | BVB |
| language | English |
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| oclc_num | 31639692 |
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| physical | 78 S. |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| record_format | marc |
| series2 | Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS |
| spelling | Holsheimer, Marcel Verfasser aut Data mining the search for knowledge in databases M. Holsheimer ; A. P. J. M. Siebes Amsterdam 1994 78 S. txt rdacontent n rdamedia nc rdacarrier Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS 94,6 Abstract: "Data mining is the search for relationships and global patterns that exist in large databases, but are 'hidden' among the vast amounts of data, such as a relationship between patient data and their medical diagnosis. These relationships represent valuable knowledge about the database and objects in the database and, if the database is a faithful mirror, of the real world registered by the database. One of the main problems for data mining is that the number of possible relationships is very large, thus prohibiting the search for the correct ones by simple [sic] validating each of them. Hence, we need intelligent search strategies, as taken from the area of machine learning. Another important problem is that information in data objects is often corrupted or missing. Hence, statistical techniques should be applied to estimate the reliability of the discovered relationships. This report provides a survey of current data mining research, it presents the main underlying ideas, such as inductive learning, and search strategies and knowledge representations used in data mine systems. Furthermore, it describes the most important problems and their solutions, and provides an [sic] survey of research projects." Databases Siebes, Arno P. Verfasser aut Department of Computer Science: Report CS Centrum voor Wiskunde en Informatica <Amsterdam> 94,6 (DE-604)BV008928356 94,6 |
| spellingShingle | Holsheimer, Marcel Siebes, Arno P. Data mining the search for knowledge in databases Databases |
| title | Data mining the search for knowledge in databases |
| title_auth | Data mining the search for knowledge in databases |
| title_exact_search | Data mining the search for knowledge in databases |
| title_full | Data mining the search for knowledge in databases M. Holsheimer ; A. P. J. M. Siebes |
| title_fullStr | Data mining the search for knowledge in databases M. Holsheimer ; A. P. J. M. Siebes |
| title_full_unstemmed | Data mining the search for knowledge in databases M. Holsheimer ; A. P. J. M. Siebes |
| title_short | Data mining |
| title_sort | data mining the search for knowledge in databases |
| title_sub | the search for knowledge in databases |
| topic | Databases |
| topic_facet | Databases |
| volume_link | (DE-604)BV008928356 |
| work_keys_str_mv | AT holsheimermarcel dataminingthesearchforknowledgeindatabases AT siebesarnop dataminingthesearchforknowledgeindatabases |