PATENT CLAIM ANALYSIS

Application Number: 15895119
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["705", "037000"]

Abstract:
Multi-dimensional temporal data can provide insight into patterns, trends and correlations. Traditional 2D-charts are widely used to support domain analysts' work, but are limited to present large-scale complicated data intuitively and do not allow further exploration to gain insight. A visual analytics system and method which supports interactive analysis of multi-dimensional temporal data, incorporating the idea of a novel visualization method is provided. The system extends the ability of mapping techniques by visualizing domain data based on a 3D geometry enhanced by color, motion and sound. It allows a compact universal overview of large-scale data and drilling down for further exploration. By customizable visualization, it can be adapted to different data models and applied to multiple domains. It helps analysts interact directly with large-scale data, gain insight into the data, and make better decisions.

Claim (Index 20):
The non-transitory computer-readable storage medium of  claim 15 , the processor to linearly map or log-linearly map a radius of the three-dimensional global sphere to a display area of the graphical user interface to present on the display device.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.56842
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12080679', '14219975', '14751093', '15465528', '10617054']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1077364664097277
- 35 USC 102 Novelty (BERT): 0.4780999995714842
- Combined Prediction Score: 0.1447728197259034
- Mean Citation Score: 125.687187
- Max Citation Score: 135.35353
- Similarity Product: 91.4322824149668

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