DATA CLASSIFIER SYSTEM, DATA CLASSIFIER METHOD AND DATA CLASSIFIER PROGRAM
First Claim
1. A data classifier system which selects a plurality of classifications correlated to data groups based on hierarchical classifications and data groups so as to output classification axes, said data classifier system comprising:
- a basic category accumulation means which accumulates classifications serving as basic categories used for selecting desired classifications in advance;
a classification axis candidate reduction means which selects a plurality of classifications from among classifications descendant from each basic category so as to create classification axis candidates and which reduces the number of classification axis candidates subjected to calculations based on data quantity of classifications and hierarchical distances of classifications; and
a priority calculation means which calculates priority in displaying classification i axis candidates reduced by the classification axis candidate reduction means.
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Abstract
A data classifier system of the present invention selects a plurality of classifications correlated to data groups so as to output classification axes based on hierarchical classifications and data groups. The data classifier system includes a basic category accumulation means, a classification axis candidate reduction means and a priority calculation means. The basic category accumulation means accumulates classifications serving as basic categories used for desired classifications in advance. The classification axis candidate reduction means selects a plurality of classifications from among classifications descendant from each basic category so as to create classification axis candidates, thus reducing classification axis candidates subjected to calculations based on data quantity of classifications and hierarchical distances of classifications. The priority calculation means calculates priority in displaying classification axis candidates, the number of which is reduced by the classification axis candidate reduction means.
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Citations
32 Claims
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1. A data classifier system which selects a plurality of classifications correlated to data groups based on hierarchical classifications and data groups so as to output classification axes, said data classifier system comprising:
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a basic category accumulation means which accumulates classifications serving as basic categories used for selecting desired classifications in advance; a classification axis candidate reduction means which selects a plurality of classifications from among classifications descendant from each basic category so as to create classification axis candidates and which reduces the number of classification axis candidates subjected to calculations based on data quantity of classifications and hierarchical distances of classifications; and a priority calculation means which calculates priority in displaying classification i axis candidates reduced by the classification axis candidate reduction means. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A data classifier system which selects a plurality of classifications correlated to data groups so as to create classification axes based on hierarchical classifications and data groups and which outputs combinations of classification axes as multidimensional classification axes, said data classifier system comprising:
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a basic category accumulation means which accumulates classifications serving as basic categories used for selecting desired classifications in advance; a classification axis candidate reduction means which creates classification axes based on combinations of classifications, each correlated to at least one data, among classifications descendant from each basic category and which reduces the number of classification axis candidates subjected to calculations based on data quantity of classifications and hierarchical distances of classifications; a multidimensional classification axis candidate creation means which creates multidimensional classification axis candidates combining classification axis candidates reduced by the classification axis candidate reduction means; and a multidimensional priority calculation means which calculates priority on multidimensional classification axis candidates based on hierarchical distances of classifications in a classified hierarchy. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A data classifier method which selects a plurality of classifications correlated to data groups so as to output classification axes based on hierarchical classifications and data groups, said data classifier method comprising:
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a classification axis candidate reduction process which accumulates classifications serving as basic categories used for selecting desired classifications in a database in advance, which selects a plurality of classifications from among classifications descendant from each basic category so as to create classification axis candidates, and which reduces the number of classification axis candidates subjected to calculations based on data quantity of classifications and hierarchical distances of classifications; and a priority calculation process which calculates priority in displaying the reduced number of classification axis candidates. - View Dependent Claims (16, 17, 18)
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19. A data classifier method which selects a plurality of classifications correlated to data groups based on hierarchical classifications and data groups so as to create classification axes and which outputs multidimensional classification axes combining a plurality of classification axes, said data classifier method comprising:
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a classification axis candidate reduction process which accumulates classifications serving as basic categories used for selecting desired classifications in a database in advance, which creates classification axes based on combinations of classifications correlated to at least one data among classifications descendant from each basic category, and which reduces the number of classification axis candidates subjected to calculations based on data quantity of classifications and hierarchical distances of classifications; a multidimensional classification axis candidate creation process which creates multidimensional classification axis candidates each combining the reduced number of classification axis candidates; and a multidimensional priority calculation process which calculates priority on multidimensional classification axis candidates based on hierarchical distances of classifications in a classified hierarchy. - View Dependent Claims (20, 21, 22)
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23. A data classifier program which selects a plurality of classifications correlated to data groups so as to output classification axes based on hierarchical distances and data groups, said data classifier program causing a computer having a basic category accumulation means, which accumulates classifications serving as basic categoris used for selecting desired classifications, to execute
a classification axis candidate reduction process which selects a plurality of classifications from among classifications descendant from each basic category so as to create classification axis candidates and which reduces the number of classification axis candidates subjected to calculations based on data quantity of classifications and hierarchical distances of classifications, and a priority calculation process which calculates priority in displaying the reduced number of classification axis candidates.
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28. A data classifier program which selects a plurality of classifications correlated to data groups based on hierarchical classifications and data groups so as to create classification axes and which outputs multidimensional classification axes combining a plurality of classification axes, said data classifier program causing a computer having a basic category accumulation means, which accumulates classifications serving as basic categories used for selecting desired classifications in advance, to execute
a classification axis candidate reduction process which creates classification axes based on combinations of classifications correlated to at least one data among classifications descendant from each basic category, and which reduces the number of classification axis candidates subjected to calculations based on data quantity of classifications and hierarchical distances of classifications, a multidimensional classification axis candidate creation process which creates multidimensional classification axis candidates each combining the reduced number of classification axis candidates, and a multidimensional priority calculation process which calculates priority on multidimensional classification axis candidates based on hierarchical distances of classifications in a classified hierarchy.
Specification