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 8):
A system, comprising:\n a memory; and at least one processor coupled to the memory and configured to:\n receive a data processing pipeline comprising operations and connections between the operations, wherein the operations each have an operation-associated set of programming languages; \n group the operations into clusters, wherein the clusters are each assigned a cluster-associated set of programming languages; and \n execute the operations in the clusters in a programming language contained in the cluster-associated set of programming languages.

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): 0.3006658863464849
- 35 USC 102 Novelty (BERT): 0.4672159083835782
- Combined Prediction Score: 0.3173208885501942
- Mean Citation Score: 97.9532032
- Max Citation Score: 106.712776
- Similarity Product: 82.3425619271245

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