PATENT CLAIM ANALYSIS

Application Number: 16113151
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["707", "755000"]

Abstract:
A system for segmenting an input data stream, comprising a processor adapted to split an input data stream to a plurality of data sub-streams such that each of the plurality of data sub-streams has an overlapping portion with a consecutive data sub-stream of the plurality of data sub-streams, create concurrently a plurality of segmented data sub-streams by concurrently segmenting the plurality of data sub-streams each in one of a plurality of processing pipelines of the processor and join the plurality of segmented data sub-streams to create a segmented data stream by synchronizing a sequencing of each of the plurality of segmented data sub-streams according to one or more overlapping segments in the overlapping portion of each two consecutive data sub-streams of the plurality of data sub-streams.

Claim (Index 15):
The method according to  claim 7 , wherein each data sub-stream of the plurality of data sub-streams includes data items, and the steps further comprise:\n for each data sub-stream of the plurality of data sub-streams, segmenting the data sub-stream by calculating a rolling hash value for a rolling sequence applied over each data sequence of a plurality of data sequences of consecutive data items of the data sub-stream, and designating each of the plurality of data sequences as a variable size segment when the rolling hash value complies with at least one segmentation criterion, wherein the rolling sequence comprises a subset of consecutive data items of a respective data sequence.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.80435
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15667267', '14462214', '13444787', '13498685', '15810312']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2347583752014319
- 35 USC 102 Novelty (BERT): 0.5810719370118186
- Combined Prediction Score: 0.2693897313824706
- Mean Citation Score: 257.16247200000004
- Max Citation Score: 428.39188
- Similarity Product: 356.1737064114714

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