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 2):
The method according to  claim 1 , before the determining, based on data information carried in time series data from the data source device, whether missing of time series data occurs in the data receiving process, further comprising:\n determining whether a value of a missing data detection parameter in a time series resource created in advance is true; and if the value is true, determining, based on the data information carried in the time series data from the data source device, whether missing of time series data occurs in the data receiving process.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 94.0
- Lexical Diversity: 2.43333
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15414917', '15023193', '14787440', '14909633', '12017423']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5259514579735624
- 35 USC 102 Novelty (BERT): 0.5028257636116258
- Combined Prediction Score: 0.5236388885373687
- Mean Citation Score: 182.372882
- Max Citation Score: 191.51736
- Similarity Product: 106.90540163243294

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