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 15):
A computer-implemented system comprising: a computer-readable storage device coupled to at least one processor and having instructions stored thereon which, when executed by the at least one processor, causes the at least one processor to perform operations 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): 0.0997393640725373
- 35 USC 102 Novelty (BERT): 0.4858457152208301
- Combined Prediction Score: 0.1383499991873666
- Mean Citation Score: 145.767014
- Max Citation Score: 160.16243
- Similarity Product: 106.26028011811616

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