PATENT CLAIM ANALYSIS

Application Number: 15967272
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["707", "722000"]

Abstract:
Techniques for counting event changes with archived relations are provided. In some examples, a query that identifies at least a data object may be identified. Additionally, the query may be evaluated against historical data associated with the data object. Additionally, in some instances, a listening service may be registered with the data object. Further, the query may be evaluated based at least in part on the data object and the historical data.

Claim (Index 17):
A computer-implemented method, comprising:\n identifying, by a query engine, that a continuous query is to be utilized for processing data of an archived relation that comprises historical event data corresponding to a stream of business event data; creating the continuous query; generating a data structure for a query operator graph that represents the continuous query, the data structure comprising nodes that represent each operator of the continuous query; creating, using the query engine, the archived relation comprising:\n applying a window on the stream of business event data; and \n evaluating a snapshot query against the historical data associated with the stream of business event data, the evaluation of the snapshot query comprising:\n executing a query to collect historical data; \n receiving the historical data, via the query, corresponding to the particular stateful operator of the data structure; and \n initializing the continuous query with the historical data corresponding to the particular operator of the data structure; and \n \n evaluating the continuous query with respect to the archived relation after completion of the evaluation of the snapshot query against the historical data associated with the stream of business event data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.95238
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13830428', '13829958', '13830129', '14036500', '14036659']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.217673653758131
- 35 USC 102 Novelty (BERT): 0.5975559852084844
- Combined Prediction Score: 0.2556618869031664
- Mean Citation Score: 412.27181
- Max Citation Score: 543.3891
- Similarity Product: 473.7111386240065

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

Dataset: test