PATENT CLAIM ANALYSIS

Application Number: 16023490
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["370", "241000"]

Abstract:
Embodiments of the present invention relate to data detection technologies, and in particular, to a method and an apparatus for detecting time series data. A method for detecting time series data is disclosed. The method is applied to a data transmission system and includes: determining, based on data information carried in time series data from a data source device, whether missing of time series data occurs in a data receiving process, where the data information includes time information and/or sequence numbers; if missing of time series data occurs, storing data information of the missing time series data; determining whether a preset trigger condition for a data missing notification is currently satisfied; and if the trigger condition for a data missing notification is satisfied, sending data missing notification information to a target device.

Claim (Index 29):
The apparatus according to  claim 27 , wherein the parameters carried in the first request message further comprise a trigger parameter of a time series data missing notification, wherein the data receiving device sets a missing data subscription event in a subscription resource of the time series resource based on the trigger parameter of the time series data missing notification, and the missing data subscription event comprises the preset trigger condition for the data missing notification that is set based on the trigger parameter of the time series data missing notification.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 94.0
- Lexical Diversity: 2.43333
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15414917', '15023193', '14787440', '14909633', '12017423']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5565980852367317
- 35 USC 102 Novelty (BERT): 0.5006188693276873
- Combined Prediction Score: 0.5510001636458273
- Mean Citation Score: 182.372882
- Max Citation Score: 191.51736
- Similarity Product: 113.06136635041236

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