PATENT CLAIM ANALYSIS

Application Number: 16392335
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["707", "722000"]

Abstract:
The present invention extends to methods, systems, and computer program products for presenting event intelligence and trends tailored per geographic area granularity. Event related data can be combined with information from other domains to enable intelligent decision making within those domains. Responsive to user commands, graphical presentation can be tailored to a geographic granularity and can vary between geographic granularities. Event related information and other information for a defined area as well as adjacent areas can be at least partially summarized based on geographic granularity. At least partially summarizing data for currently presented areas as well as adjacent areas reduces resource consumption when moving between presented areas, for example, in a map. The level of summarization can be a tailored to a selected geographic granularity. As such, overall presented graphical data (e.g., total number of icons) can be relatively stable, and possibly tuned to available computing resources.

Claim (Index 8):
The computer system of  claim 7 , wherein instructions configured to access domain specific data comprise instructions configured to access domain specific data from one of: a real estate domain, an economic development domain, an insurance domain, an actuarial domain, a financial domain, a telecommunications domain, a child protection domain, a pharmaceuticals domain, a narcotics use domain, or a prescription data domain.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 100.0
- Lexical Diversity: 1.78261
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16121762', '16131637', '16238782', '16121917', '16388570']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2330620708628308
- 35 USC 102 Novelty (BERT): 0.5368542754116874
- Combined Prediction Score: 0.2634412913177164
- Mean Citation Score: 245.256112
- Max Citation Score: 397.3342
- Similarity Product: 252.8583631453991

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