PATENT CLAIM ANALYSIS

Application Number: 15873376
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["710", "052000"]

Abstract:
A method, computer program product, and apparatus for buffering data sets are provided. The method includes preparing at least one buffer including a plurality of compression windows. The method also includes receiving a data set. The method further includes writing the received data set into a data region in a first compression window among the plurality of compression windows included in a first buffer among the at least one buffer. The method also includes updating statistics of a statistics region in the first compression window based on the received data set. The method further includes compressing the data set from the data region of the first compression window based on the statistics in the statistics region of the first compression window. The method also includes sending the compressed data set to the data region of the first compression window to replace the received data set.

Claim (Index 13):
The computer program product of  claim 12 , wherein the writing includes, in response to filling the data region of the first compression window, writing remaining data of the received data set into the data region in a second compression window, the second compression window located next to the first compression window.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.96154
- Patent Class: 710.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12363637', '11874044', '14839417', '13898690', '14995125']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6299411869290937
- 35 USC 102 Novelty (BERT): 0.4626344256155091
- Combined Prediction Score: 0.6132105107977353
- Mean Citation Score: 128.869934
- Max Citation Score: 133.82437
- Similarity Product: 102.8325939866954

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test