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 3):
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 creating a time series resource based on a first request message that is from the data source device and that requests to create the time series resource, wherein the first request message carries the following parameters: a maximum quantity of missing data, a current quantity of missing data, and a missing data list; and the time series resource comprises: an attribute of the maximum quantity of missing data, an attribute of the current quantity of missing data, and a missing data list attribute that are respectively created based on the maximum quantity of missing data, the current quantity of missing data, and the missing data list; and the attribute of the maximum quantity of missing data records a maximum quantity of missing time series data, the attribute of the current quantity of missing data records a current quantity of missing time series data, and the missing data list records at least one of time information or a sequence number of time series data that is already missing.

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): 0.5286021336625863
- 35 USC 102 Novelty (BERT): 0.4923777425996615
- Combined Prediction Score: 0.5249796945562939
- Mean Citation Score: 182.372882
- Max Citation Score: 191.51736
- Similarity Product: 121.18384897024154

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