System and method for compressing a data table using models
First Claim
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1. A system for compressing a data table, comprising:
- a table modeller that discovers data mining models with guaranteed error bounds of at least one attribute in said data table in terms of other attributes in said data table; and
a model selector, associated with said table modeller, that selects a subset of said at least one model to form a basis upon which to compress said data table.
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Abstract
A system for, and method of compressing a data table using models and a database management system incorporating the system or the method. In one embodiment, the system includes: (1) a table modeller that discovers data mining models with guaranteed error bounds of at least one attribute in the data table in terms of other attributes in the data table and (2) a model selector, associated with the table modeller, that selects a subset of the at least one model to form a basis upon which to compress the data table.
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Citations
24 Claims
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1. A system for compressing a data table, comprising:
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a table modeller that discovers data mining models with guaranteed error bounds of at least one attribute in said data table in terms of other attributes in said data table; and
a model selector, associated with said table modeller, that selects a subset of said at least one model to form a basis upon which to compress said data table. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method of compressing a data table, comprising:
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discovering data mining models with guaranteed error bounds of at least one attribute in said data table in terms of other attributes in said data table; and
selecting a subset of said at least one model to form a basis upon which to compress said data table. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A database management system, comprising:
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a data structure having at least one data table therein;
a database controller for allowing data to be provided to and extracted from said data structure; and
a system for compressing said at least one data table, including;
a table modeller that discovers data mining models with guaranteed error bounds of at least one attribute in said data table in terms of other attributes in said data table, and a model selector, associated with said table modeller, that selects a subset of said at least one model to form a basis upon which to compress said data table. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification