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 20):
The non-transitory computer-readable device of  claim 16 , wherein the updated data processing pipeline comprises operations set to the clusters determined during the previous iteration, connections between the operations set to the connections between the clusters determined during the previous iteration, and the operation-associated set of programming languages set to the cluster-associated set of programming languages determined during the previous iteration.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 88.0
- Lexical Diversity: 1.38462
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15470863', '15706115', '14570941', '14862020', '15424955']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3267083535298004
- 35 USC 102 Novelty (BERT): 0.4675839563474012
- Combined Prediction Score: 0.3407959138115605
- Mean Citation Score: 97.9532032
- Max Citation Score: 106.712776
- Similarity Product: 83.34129338380623

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