DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources
The successful integration of data from autonomous and heterogeneous systems calls for the resolution of semantic conflicts that may be present. Such conflicts are often reffected by discrepancies in attribute values of the same data ob...
| Main Authors: | , , , |
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| Format: | Working Paper |
| Language: | en_US |
| Published: |
2003
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/1825 |
| _version_ | 1826213572783374336 |
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| author | Fan, Weiguo Lu, Hongjun Madnick, Stuart Cheung, David |
| author_facet | Fan, Weiguo Lu, Hongjun Madnick, Stuart Cheung, David |
| author_sort | Fan, Weiguo |
| collection | MIT |
| description | The successful integration of data from autonomous and heterogeneous systems calls
for the resolution of semantic conflicts that may be present. Such conflicts are often
reffected by discrepancies in attribute values of the same data object. In this paper, we
describe a recently developed prototype system, DIRECT (DIscovering and
REconciling ConflicTs). The system mines data value conversion rules in the process
of integrating business data from multiple sources. The system architecture and
functional modules are described. The process of discovering conversion rules from
sales data of a trading company is presented as an illustrative example |
| first_indexed | 2024-09-23T15:51:23Z |
| format | Working Paper |
| id | mit-1721.1/1825 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:51:23Z |
| publishDate | 2003 |
| record_format | dspace |
| spelling | mit-1721.1/18252019-04-12T08:22:46Z DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources Fan, Weiguo Lu, Hongjun Madnick, Stuart Cheung, David Data Integration Data Mining, Semantic Conflicts Data Visualization Statistical Analysis Data Value Conversion The successful integration of data from autonomous and heterogeneous systems calls for the resolution of semantic conflicts that may be present. Such conflicts are often reffected by discrepancies in attribute values of the same data object. In this paper, we describe a recently developed prototype system, DIRECT (DIscovering and REconciling ConflicTs). The system mines data value conversion rules in the process of integrating business data from multiple sources. The system architecture and functional modules are described. The process of discovering conversion rules from sales data of a trading company is presented as an illustrative example 2003-02-10T21:43:28Z 2003-02-10T21:43:28Z 2003-02-10T21:43:28Z Working Paper http://hdl.handle.net/1721.1/1825 en_US MIT Sloan School of Management Working Paper;4411-01 331454 bytes application/pdf application/pdf |
| spellingShingle | Data Integration Data Mining, Semantic Conflicts Data Visualization Statistical Analysis Data Value Conversion Fan, Weiguo Lu, Hongjun Madnick, Stuart Cheung, David DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources |
| title | DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources |
| title_full | DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources |
| title_fullStr | DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources |
| title_full_unstemmed | DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources |
| title_short | DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources |
| title_sort | direct a system for mining data value conversion rules from disparate data sources |
| topic | Data Integration Data Mining, Semantic Conflicts Data Visualization Statistical Analysis Data Value Conversion |
| url | http://hdl.handle.net/1721.1/1825 |
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