PATENT CLAIM ANALYSIS

Application Number: 15876723
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["706", "012000"]

Abstract:
A computing system provides analysis of data and grouping of variables in support of analytics. From a plurality of observation vectors read from a dataset, a number of observations having a non-missing value and a cardinality value are computed for each variable of the variables. For each variable of the variables, the cardinality ratio value is compared to a first policy parameter value, and the respective variable is identified as a nominal variable type or as an interval variable type based on the comparison. For each variable of the variables identified as the nominal variable type, the cardinality value of the respective variable is compared to a second policy parameter value, and the respective variable is identified as the high-cardinality nominal variable type or as a non-high-cardinality nominal variable type based on the comparison with the cardinality value. The identified variable type is output for each variable of the variables.

Claim (Index 17):
The non-transitory computer-readable medium of  claim 16 , wherein assigning each variable of the plurality of variables identified as the interval variable type is to the fifth category or to the sixth category based on the third comparison between the plurality of values and the at least one policy parameter value for each missing rate value, each skewness value, each kurtosis value, and each outlier percentage value selected from the group.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.66667
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14924929', '14536829', '15173927', '14928177', '14924893']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3716219158269697
- 35 USC 102 Novelty (BERT): 0.4984458144569401
- Combined Prediction Score: 0.3843043056899667
- Mean Citation Score: 221.09842000000003
- Max Citation Score: 225.68314
- Similarity Product: 160.7703778368199

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test