PATENT CLAIM ANALYSIS

Application Number: 16396584
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-10
Patent Classification: ["705", "313000"]

Abstract:
Described are medias, systems, and computer-implemented methods to detect improper residency status by performing a data mining task to data source to detect one or more improper residency indicia, applying a machine learning algorithm to identify an initial candidate, calculating a probability that the initial candidate has an improper residency status, and validating the detection. Further described are medias, systems, and computer-implemented methods to detect improper occupancy tax status.

Claim (Index 24):
A computer-implemented method for detecting improper residency status comprising:\n a) defining, by a parameter setting module, a data set to be evaluated; b) detecting, by a plurality of data ingestion interfaces, one or more improper residency indicia within the data set, wherein each interface connects to a unique external data source, and wherein each interface performs a data mining task process to its data source to detect the one or more improper residency indicia; c) identifying an initial candidate by applying a machine learning algorithm to the improper residency indicia within the data set; d) calculating, by an improper residency probability calculation module, a probability that the improper residency event has taken place at the initial candidate; e) accepting, by a validation module, verified data regarding the improper residency event; and f) feeding back the verified data from to the improper residency probability calculation module to improve its calculation over time.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 100.0
- Lexical Diversity: 1.77273
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16000750', '16135099', '14923663', '15820260', '11070183']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1008964875044261
- 35 USC 102 Novelty (BERT): 0.4737627752109208
- Combined Prediction Score: 0.1381831162750756
- Mean Citation Score: 145.767014
- Max Citation Score: 160.16243
- Similarity Product: 118.04381403972744

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

Dataset: test