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 7):
The non-transitory computer-readable medium of  claim 4 , wherein the entropy value includes a first entropy value computed using a first entropy computation method and a second entropy value computed using a second entropy computation method.

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): 0.3691281679118275
- 35 USC 102 Novelty (BERT): 0.5096747200174149
- Combined Prediction Score: 0.3831828231223863
- Mean Citation Score: 221.09842000000003
- Max Citation Score: 225.68314
- Similarity Product: 138.46096454611066

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