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 2):
The method of  claim 1 , the grouping the operations into clusters further comprising:\n initializing the clusters so that each cluster encompasses one operation, wherein the cluster-associated set of programming languages matches the operation-associated set of programming languages for the encompassed operation; iterating through the operations, and for each operation:\n (1) setting a max gain to zero; \n (2) setting a best cluster to null; \n (3) determining a set of neighboring clusters for the operation, wherein the set of neighboring clusters are the clusters sharing a connection with the operation; \n (4) iterating through the set of neighboring clusters, and for each neighboring cluster:\n (a) determining a label intersection; \n (b) determining a gain of moving; \n (c) setting the max gain to the gain of moving and setting the best cluster to the neighboring cluster if the gain of moving is greater than the max gain and the label intersection is not null; and \n \n (5) moving the operation to the best cluster if the max gain is greater than zero; and \n repeating the initializing and iterating against an updated data processing pipeline derived from the prior iteration until an iteration occurs without modifying the clusters.

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): 0.2963505387956834
- 35 USC 102 Novelty (BERT): 0.4857815760201733
- Combined Prediction Score: 0.3152936425181324
- Mean Citation Score: 97.9532032
- Max Citation Score: 106.712776
- Similarity Product: 72.70424586556244

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