PATENT CLAIM ANALYSIS

Application Number: 16166593
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-06
Patent Classification: ["714", "015000"]

Abstract:
Various embodiments relate generally to electrical and electronic hardware, computer software and systems for controlling a data stream processor configured to detect and/or resolve anomalies in data streams including message data. In particular, a system, a device and a method may be configured to access multiple data streams and to detect an anomaly, in real-time or in substantially real-time, that is associated with at least one of the data streams accessed by a data stream processor. In some examples, a method can include one or more of receiving message data to facilitate a computerized rental of property, classifying subset of messages, fetching the classified messages to form multiple data streams, accessing the data stream to indemnity a stream characteristic, detecting an anomaly based on an identified stream characteristic, and generating anomaly resolution data to counteract the detected anomaly.

Claim (Index 22):
The computer-implemented method of  claim 21 , wherein determining the anomaly threshold associated with the first stream characteristic comprises determining an updated value of the anomaly threshold to replace a prior value of the anomaly threshold, wherein the prior value of the anomaly threshold is based at least partly on a prior analysis of messages in the first subset of messages.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 97.0
- Lexical Diversity: 1.87654
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14935215', '14935209', '16009721', '14968701', '15084343']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3146908574597145
- 35 USC 102 Novelty (BERT): 0.5193678998047104
- Combined Prediction Score: 0.3351585616942141
- Mean Citation Score: 206.332288
- Max Citation Score: 319.14493
- Similarity Product: 204.67798005079985

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

Dataset: test