Method and apparatus for generating data in a missing segment of a time data sequence

1. A method for generating data in a missing segment of a target time data sequence of discrete data points, the method comprising:

determining whether there is a breakpoint in the missing segment, wherein the determining is based on a reference time data sequence having a logical similarity to the target time data sequence, wherein the logical similarity is based on, at least, receiving time stamp data associated with the time data sequence and receiving user location data via a global positioning system (GPS) associated with the target time data sequence, and based on determining whether there is a breakpoint in a reference segment of the reference time data sequence, the reference segment corresponding to the missing segment;

determining candidate values of the data in the missing segment, wherein determining the candidate values of the data in the missing segment includes:

determining first candidate values of the data in the missing segment based on data on a first side of the missing segment in the target time data sequence; and

determining second candidate values of the data in the missing segment based on data on a second side of the missing segment in the target time data sequence; and

generating values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment;

wherein the breakpoint is a difference value, above a threshold, between a first reference data in the reference time data sequence and a second reference data in the reference time data sequence.

2. The method according to claim 1 , wherein the determining whether there is the breakpoint in the reference segment, which corresponds to the missing segment, in the reference time data sequence includes:

for at least one reference datum in the reference segment, determining whether the at least one reference datum corresponds to the breakpoint in the reference segment according to a difference degree between average values of predetermined amounts of data on both sides of the at least one reference datum respectively in the reference time data sequence.

3. The method according to claim 1 , wherein the generating the values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment includes:

when there is no breakpoint in the missing segment, using weighted sums of the first candidate values and the second candidate values of the data in the missing segment as values of the data in the missing segment respectively.

4. The method according to claim 1 , wherein the generating the values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment includes:

when there is the breakpoint in the missing segment, determining values of data, which are located on a first side of the breakpoint in the missing segment, as corresponding values in the first candidate values of the data in the missing segment, and determining values of data, which are located on a second side of the breakpoint in the missing segment, as corresponding values in the second candidate values of the data in the missing segment.

5. A computer program product for generating data in a missing segment of a target time data sequence of discrete data points, the computer program product comprising at least one computer readable non-transitory storage medium having computer readable program instructions thereon for execution by a processor, the computer readable program instructions comprising program instructions for:

determining whether there is a breakpoint in the missing segment, wherein the determining is based on a reference time data sequence having a logical similarity to the target time data sequence, wherein the logical similarity is based on, at least, receiving time stamp data associated with the time data sequence and receiving user location data via a global positioning system (GPS) associated with the target time data sequence, and based on determining whether there is a breakpoint in a reference segment of the reference time data sequence, the reference segment corresponding to the missing segment;

determining candidate values of the data in the missing segment, wherein the determining the candidate values of the data in the missing segment includes:

determining first candidate values of the data in the missing segment based on data on a first side of the missing segment in the target time data sequence; and

determining second candidate values of the data in the missing segment based on data on a second side of the missing segment in the target time data sequence; and

generating values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment;

wherein the breakpoint is a difference value, above a threshold, between a first reference data in the reference time data sequence and a second reference data in the reference time data sequence.

6. The computer program product according to claim 5 , wherein the determining whether there is the breakpoint in the reference segment, which corresponds to the missing segment, in the reference time data sequence includes:

for at least one reference datum in the reference segment, determining whether the at least one reference datum corresponds to the breakpoint in the reference segment according to a difference degree between average values of predetermined amounts of data on both sides of the at least one reference datum respectively in the reference time data sequence.

7. The computer program product according to claim 5 , wherein the generating the values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment includes:

when there is no breakpoint in the missing segment, using weighted sums of the first candidate values and the second candidate values of the data in the missing segment as values of the data in the missing segment respectively.

8. A computer system for generating data in a missing segment of a target time data sequence of discrete data points, the computer system comprising:

one or more computer processors;

one or more computer-readable storage media;

program instructions stored on the computer-readable storage media for execution by at least one of the one or more processors, the program instructions comprising:

program instructions to determine whether there is a breakpoint in the missing segment, wherein the program instructions to determine are based on a reference time data sequence having a logical similarity to the target time data sequence, wherein the logical similarity is based on, at least, receiving time stamp data associated with the time data sequence and receiving user location data via a global positioning system (GPS) associated with the target time data sequence, and based on program instructions to determine whether there is a breakpoint in a reference segment of the reference time data sequence, the reference segment corresponding to the missing segment;

program instructions to determine candidate values of the data in the missing segment, wherein the program instructions to determine the candidate values of the data in the missing segment includes:

program instructions to determine first candidate values of the data in the missing segment based on data on a first side of the missing segment in the target time data sequence; and

program instructions to determine second candidate values of the data in the missing segment based on data on a second side of the missing segment in the target time data sequence;

program instructions to generate values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment;

wherein the breakpoint is a difference value, above a threshold, between a first reference data in the reference time data sequence and a second reference data in the reference time data sequence.

9. The computer system according to claim 8 , wherein the determining whether there is the breakpoint in the reference segment, which corresponds to the missing segment, in the reference time data sequence includes:

for at least one reference datum in the reference segment, program instructions to determine whether the at least one reference datum corresponds to the breakpoint in the reference segment according to a difference degree between average values of predetermined amounts of data on both sides of the at least one reference datum respectively in the reference time data sequence.

10. The computer system according to claim 8 , wherein the program instructions to generate the values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment includes:

when there is no breakpoint in the missing segment, program instructions to use weighted sums of the first candidate values and the second candidate values of the data in the missing segment as values of the data in the missing segment respectively.

11. The computer system according to claim 8 , wherein the program instructions to generate the values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment includes:

when there is the breakpoint in the missing segment, program instructions to determine values of data, which are located on a first side of the breakpoint in the missing segment, as corresponding values in the first candidate values of the data in the missing segment, and program instructions to determine values of data, which are located on a second side of the breakpoint in the missing segment, as corresponding values in the second candidate values of the data in the missing segment.