PATENT CLAIM ANALYSIS

Application Number: 15906652
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-06
Patent Classification: ["717", "100000"]

Abstract:
Disclosed herein are system, method, and computer program product embodiments for determining clusters of operations in a data processing pipeline. By clustering the operations according to the operations' programming languages using the algorithm disclosed herein, performance efficiency gains can be achieved. The algorithm is iterative, traversing all operations in a data processing pipeline with subsequent iterations addressing the clustering regime determined by prior iterations.

Claim (Index 18):
The non-transitory computer-readable device of  claim 16 , the determining a gain of moving further comprising:\n counting a number of internal connections added to the neighboring cluster if the operation moves to the neighboring cluster; counting a number of internal connections lost if the operation moves to the neighboring cluster; and calculating the gain of moving by subtracting the number of internal connections lost from the number of internal connections added.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 88.0
- Lexical Diversity: 1.38462
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15470863', '15706115', '14570941', '14862020', '15424955']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2994408662052643
- 35 USC 102 Novelty (BERT): 0.4724636983089872
- Combined Prediction Score: 0.3167431494156366
- Mean Citation Score: 97.9532032
- Max Citation Score: 106.712776
- Similarity Product: 79.61456765135098

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

Dataset: test