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 13):
The method according to  claim 12 , wherein the parameters carried in the first request message further comprise a maximum waiting time, wherein the data receiving device creates a maximum waiting time attribute in the time series resource based on the maximum waiting time, wherein the maximum waiting time attribute identifies a maximum waiting time taken to determine time series data that has not been received as missing time series data.

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): 0.5558684302224131
- 35 USC 102 Novelty (BERT): 0.5035232767116208
- Combined Prediction Score: 0.5506339148713338
- Mean Citation Score: 182.372882
- Max Citation Score: 191.51736
- Similarity Product: 109.09230378350256

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