RULES GENERATION FOR IT RESOURCE EVENT SITUATION CLASSIFICATION
First Claim
1. A method of transforming data into computer executable rules for mining and constructing situation categories that are applied to information technology resource messages or events comprising:
- receiving computer readable data by a computer processing device from at least one of;
a raw log and a catalog, where the received data is at least one of;
initial seed data and knowledge data, to derive the computer executable rules for mining and constructing situation categories;
transforming the received data into a predetermined standard format if the received data is not already in the predetermined standard format;
parsing the predetermined standard formatted data;
performing an outer, iterative loop until at least one predetermined stopping criterion is met, comprising;
utilizing a keyword rule classifier by the computer processing device to automatically pre-classify at least a portion of the parsed data;
performing an inner iterative loop within the outer iterative loop, comprising;
selecting a subset of the parsed data for expert review;
using at least one of keyword rules, features, and classifications to find, within data available to the computer processing device, a corresponding previously labeled subset of data that has similar semantics to semantics of the selected subset of data;
labeling the selected subset of data with the label associated with the corresponding previously labeled subset of data; and
repeating the inner iterative loop if another subset of data is to be processed;
storing each labeled subset of data on a data storage device;
generating new computer executable rules for mining and constructing situation categories from the stored labeled subsets of data;
transforming keyword list classifiers using the stored labeled subsets of data; and
repeating the outer iterative loop if the predetermined stopping criterion is not met.
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Abstract
A computer processing device receives computer readable data to derive computer executable rules for mining and constructing situation categories. The received data is transformed into a predetermined standard format if the received data is not already in the predetermined standard format. The predetermined standard formatted data is parsed, and an outer, iterative loop is performed until at least one predetermined stopping criterion is met. An inner iterative loop is performed within the outer iterative loop until all desired subsets of data are processed. During the inner iterative loop, selected subsets of data are labeled with labels associated with corresponding previously labeled subsets of data. New computer executable rules are generated for mining and constructing situation categories from the labeled subsets of data. Keyword list classifiers are transformed using the stored labeled subsets of data.
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Citations
20 Claims
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1. A method of transforming data into computer executable rules for mining and constructing situation categories that are applied to information technology resource messages or events comprising:
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receiving computer readable data by a computer processing device from at least one of;
a raw log and a catalog, where the received data is at least one of;
initial seed data and knowledge data, to derive the computer executable rules for mining and constructing situation categories;transforming the received data into a predetermined standard format if the received data is not already in the predetermined standard format; parsing the predetermined standard formatted data; performing an outer, iterative loop until at least one predetermined stopping criterion is met, comprising; utilizing a keyword rule classifier by the computer processing device to automatically pre-classify at least a portion of the parsed data; performing an inner iterative loop within the outer iterative loop, comprising; selecting a subset of the parsed data for expert review; using at least one of keyword rules, features, and classifications to find, within data available to the computer processing device, a corresponding previously labeled subset of data that has similar semantics to semantics of the selected subset of data; labeling the selected subset of data with the label associated with the corresponding previously labeled subset of data; and repeating the inner iterative loop if another subset of data is to be processed; storing each labeled subset of data on a data storage device; generating new computer executable rules for mining and constructing situation categories from the stored labeled subsets of data; transforming keyword list classifiers using the stored labeled subsets of data; and repeating the outer iterative loop if the predetermined stopping criterion is not met. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer program product for transforming data into computer executable rules for mining and constructing situation categories that are applied to information technology resource messages or events comprising:
a computer usable medium having computer usable program code embodied therewith, the computer usable program code comprising; computer usable program code configured to receive computer readable data by a computer processing device from at least one of;
a raw log and a catalog, where the received data is at least one of;
initial seed data and knowledge data, to derive the computer executable rules for mining and constructing situation categories;computer usable program code configured to transform the received data into a predetermined standard format if the received data is not already in the predetermined standard format; computer usable program code configured to parse the predetermined standard formatted data; computer usable program code configured to perform an outer, iterative loop until at least one predetermined stopping criterion is met, comprising; computer usable program code configured to utilize a keyword rule classifier by the computer processing device to automatically pre-classify at least a portion of the parsed data; computer usable program code configured to perform an inner iterative loop within the outer iterative loop, comprising; computer usable program code configured to select a subset of the parsed data for expert review; computer usable program code configured to use at least one of keyword rules, features, and classifications to find, within data available to the computer processing device, a corresponding previously labeled subset of data that has similar semantics to semantics of the selected subset of data; computer usable program code configured to label the selected subset of data with the label associated with the corresponding previously labeled subset of data; and computer usable program code configured to repeat the inner iterative loop if another subset of data is to be processed; computer usable program code configured to store each labeled subset of data on a data storage device; computer usable program code configured to generate new computer executable rules for mining and constructing situation categories from the stored labeled subsets of data; computer usable program code configured to transform keyword list classifiers using the stored labeled subsets of data; and computer usable program code configured to repeat the outer iterative loop if the predetermined stopping criterion is not met. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
Specification