On the symbiosis of a data mining environment and a DBMS:
Abstract: "One of the main obstacles in applying data mining techniques to large, real-world databases is the lack of efficient data management. In this paper, we outline a two-level architecture, consisting of a mining tool and a database server. Key elements in its success are a clear separat...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Amsterdam
1995
|
| Series: | Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS
95,21 |
| Subjects: | |
| Summary: | Abstract: "One of the main obstacles in applying data mining techniques to large, real-world databases is the lack of efficient data management. In this paper, we outline a two-level architecture, consisting of a mining tool and a database server. Key elements in its success are a clear separation of concerns: the mining tool organizes and controls the search process, while all data-handling is performed by the parallel main memory DBMS. Data is stored as a set of binary tables. The interaction consists of queries for statistical information. Properties of the DBMS and the search algorithm are exploited for optimization of the data handling. In particular, results of previous computations are re-used, and I/O activity is reduced by keeping a small hot-set of binary tables in main-memory. As test results show, this system handles large datasets at a competitive performance." |
| Physical Description: | 12 S. |
Staff View
MARC
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| 100 | 1 | |a Kersten, Martin L. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a On the symbiosis of a data mining environment and a DBMS |c M. L. Kersten ; M. Holsheimer |
| 264 | 1 | |a Amsterdam |c 1995 | |
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| 490 | 1 | |a Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS |v 95,21 | |
| 520 | 3 | |a Abstract: "One of the main obstacles in applying data mining techniques to large, real-world databases is the lack of efficient data management. In this paper, we outline a two-level architecture, consisting of a mining tool and a database server. Key elements in its success are a clear separation of concerns: the mining tool organizes and controls the search process, while all data-handling is performed by the parallel main memory DBMS. Data is stored as a set of binary tables. The interaction consists of queries for statistical information. Properties of the DBMS and the search algorithm are exploited for optimization of the data handling. In particular, results of previous computations are re-used, and I/O activity is reduced by keeping a small hot-set of binary tables in main-memory. As test results show, this system handles large datasets at a competitive performance." | |
| 650 | 4 | |a Database management | |
| 650 | 4 | |a Information organization | |
| 650 | 4 | |a Information retrieval | |
| 700 | 1 | |a Holsheimer, Marcel |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Computer Science: Report CS |t Centrum voor Wiskunde en Informatica <Amsterdam> |v 95,21 |w (DE-604)BV008928356 |9 95,21 | |
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Record in the Search Index
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| author | Kersten, Martin L. Holsheimer, Marcel |
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| author_sort | Kersten, Martin L. |
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| bvnumber | BV011063238 |
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| format | Book |
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| id | DE-604.BV011063238 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T18:03:22Z |
| institution | BVB |
| language | English |
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| oclc_num | 33933154 |
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| physical | 12 S. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| record_format | marc |
| series2 | Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS |
| spelling | Kersten, Martin L. Verfasser aut On the symbiosis of a data mining environment and a DBMS M. L. Kersten ; M. Holsheimer Amsterdam 1995 12 S. txt rdacontent n rdamedia nc rdacarrier Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS 95,21 Abstract: "One of the main obstacles in applying data mining techniques to large, real-world databases is the lack of efficient data management. In this paper, we outline a two-level architecture, consisting of a mining tool and a database server. Key elements in its success are a clear separation of concerns: the mining tool organizes and controls the search process, while all data-handling is performed by the parallel main memory DBMS. Data is stored as a set of binary tables. The interaction consists of queries for statistical information. Properties of the DBMS and the search algorithm are exploited for optimization of the data handling. In particular, results of previous computations are re-used, and I/O activity is reduced by keeping a small hot-set of binary tables in main-memory. As test results show, this system handles large datasets at a competitive performance." Database management Information organization Information retrieval Holsheimer, Marcel Verfasser aut Department of Computer Science: Report CS Centrum voor Wiskunde en Informatica <Amsterdam> 95,21 (DE-604)BV008928356 95,21 |
| spellingShingle | Kersten, Martin L. Holsheimer, Marcel On the symbiosis of a data mining environment and a DBMS Database management Information organization Information retrieval |
| title | On the symbiosis of a data mining environment and a DBMS |
| title_auth | On the symbiosis of a data mining environment and a DBMS |
| title_exact_search | On the symbiosis of a data mining environment and a DBMS |
| title_full | On the symbiosis of a data mining environment and a DBMS M. L. Kersten ; M. Holsheimer |
| title_fullStr | On the symbiosis of a data mining environment and a DBMS M. L. Kersten ; M. Holsheimer |
| title_full_unstemmed | On the symbiosis of a data mining environment and a DBMS M. L. Kersten ; M. Holsheimer |
| title_short | On the symbiosis of a data mining environment and a DBMS |
| title_sort | on the symbiosis of a data mining environment and a dbms |
| topic | Database management Information organization Information retrieval |
| topic_facet | Database management Information organization Information retrieval |
| volume_link | (DE-604)BV008928356 |
| work_keys_str_mv | AT kerstenmartinl onthesymbiosisofadataminingenvironmentandadbms AT holsheimermarcel onthesymbiosisofadataminingenvironmentandadbms |