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 12):
The system of  claim 9 , wherein to move the operation, the at least one processor is configured to:\n update the cluster-associated set of programming languages for the best cluster by calculating an intersection of the operation-associated set of programming languages for the operation and the cluster-associated set of programming languages for the best cluster; and update the cluster-associated set of programming languages for the operation's prior cluster by calculating an intersection of the sets of programming languages for all operations remaining in the operation's prior cluster.

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): 0.3224757120528122
- 35 USC 102 Novelty (BERT): 0.4849767777241497
- Combined Prediction Score: 0.338725818619946
- Mean Citation Score: 97.9532032
- Max Citation Score: 106.712776
- Similarity Product: 74.31161458498573

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