PATENT CLAIM ANALYSIS

Application Number: 16179802
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["707", "714000"]

Abstract:
A probabilistic counting structure such as a hyperloglog may be formed during a table scan for each of a selected set of columns. The columns may be selected based on an initial estimate of relatedness, which may be based on data types of the respective columns. An estimated cardinality of an intersection or union of columns may be formed based on an intersection of the probabilistic data structures. A join path may be determined based on the estimated cardinality of an intersection or union of the columns.

Claim (Index 14):
A computer-implemented method for identifying analytical relationships in transactional data, the method comprising:\n forming, in a memory of a computing device, a first probabilistic counting structure based at least in part on scanning a first plurality of fields corresponding to a first column, the first plurality of fields stored on a one or more storage devices communicatively coupled to the computing device; forming, in the memory of the computing device, a second probabilistic counting structure based at least in part on a second plurality of fields corresponding to a second column, the second plurality of fields stored on the one or more storage devices; calculating an intersection of the first and second probabilistic counting structures; and identifying a join path between the first column and the second column based at least in part on an estimate of coincidence between fields of the first plurality of fields and fields of the second plurality of fields, the estimate of coincidence based at least in part on the intersection.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.09091
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14578841', '15232610', '12098178', '15362806', '14834430']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1788245158775178
- 35 USC 102 Novelty (BERT): 0.5020593967046544
- Combined Prediction Score: 0.2111480039602315
- Mean Citation Score: 149.697775
- Max Citation Score: 292.13467
- Similarity Product: 257.03732744764994

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test