A method and an apparatus for detecting changed data are provided. The method includes: recording change status information of each data field in a data table during a version change; obtaining a probability of a second data field being changed simultaneously when a first data field is changed, the probability being a confidence probability of the second data field being changed in the first data field being changed; determining, when confidence probabilities of at least two second data fields being changed in the same first data field being changed are greater than a confidence probability threshold of the data table, that the second data fields corresponding to the confidence probabilities greater than the confidence probability threshold are a combined field; determining whether a combination of the changed data fields matches a combined field template during the current version change, and prompting a location of the unmatched changed data field.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for detecting changed data, the method comprising: recording change status information of each data field in a data table during a version change; obtaining, according to the change status information, a probability of a second data field being changed at the same time when a first data field is changed, the probability being a confidence probability of the second data field being changed in the first data field being changed; determining, when confidence probabilities of at least two second data fields being changed in the first data field being changed are greater than a confidence probability threshold of the data table, that the second data fields corresponding to the confidence probabilities greater than the confidence probability threshold are a combined field; determining whether a combination of the changed data fields matches a combined field template during the version change, the combined field template being any combined field or a combination of at least two of the combined fields excluding same data fields; and prompting a location of the unmatched changed data field if the combination of the changed data fields does not match the combined field template during the version change. 2. The method according to claim 1, wherein the obtaining, according to the change status information, a probability of a second data field being changed at the same time when a first data field is changed comprises: recording, according to the change status information, the number of times that the second data field being changed at the same time when the first data field is changed; and dividing the number of times that the second data field being changed at the same time when the first data field is changed by the number of times that the first data field is changed, to obtain the probability of the second data field being changed at the same time when the first data field is changed. 3. The method according to claim 2, wherein the recording, according to the change status information, the number of times that the second data field being changed at the same time when the first data field is changed comprises: outputting a change matrix table according to the change status information, wherein an element of the ith column of the jth row of the change matrix table indicates the number of times that the jth second data field being changed at the same time when the ith first data field is changed, wherein i and j are integers not less than 1. 4. The method according to claim 3, wherein the dividing the number of times that the second data field being changed at the same time when the first data field is changed by the number of times that the first data field is changed, to obtain the probability of the second data field being changed at the same time when the first data field is changed comprises: outputting a confidence matrix table according to the change matrix table, wherein an element of the ith column of the jth row of the confidence matrix table is a result of dividing the element of the ith column of the jth row of the change matrix table by an element of the ith column of the ith row of the change matrix table, indicating a probability of the jth second data field being changed at the same time when the ith first data field is changed. 5. The method according to claim 4, wherein the determining, when confidence probabilities of at least two second data fields being changed in the first data field being changed are greater than a confidence probability threshold of the data table, that the second data fields corresponding to the confidence probabilities greater than the confidence probability threshold are a combined field comprises: determining, when at least two elements of the ith column of the confidence matrix table are greater than the confidence probability threshold, that the jth second data fields corresponding to the elements greater than the confidence probability threshold are a combined field. 6. The method according to claim 2, wherein the recording, according to the change status information, the number of times that the second data field being changed at the same time when the first data field is changed comprises: outputting a change matrix table according to the change status information, wherein an element of the jth column of the ith row of the change matrix table indicates the number of times that the jth second data field being changed at the same time when the ith first data field is changed, wherein i and j are integers not less than 1. 7. The method according to claim 6, wherein the dividing the number of times that the second data field being changed at the same time when the first data field is changed by the number of times that the first data field is changed, to obtain the probability of the second data field being changed at the same time when the first data field is changed comprises: outputting a confidence matrix table according to the change matrix table, wherein an element of the jth column of the ith row of the confidence matrix table is a result of dividing the element of the jth column of the ith row of the change matrix table by an element of the ith column of the ith row of the change matrix table, wherein the element of jth column of the ith row of the confidence matrix table indicates a probability of the jth second data field being changed at the same time when the ith first data field is changed. 8. The method according to claim 7, wherein the determining, when confidence probabilities of at least two second data fields being changed in the first data field being changed are greater than a confidence probability threshold of the data table, that the second data fields corresponding to the confidence probabilities greater than the confidence probability threshold are a combined field comprises: determining, when at least two elements of the ith row of the confidence matrix table are greater than the confidence probability threshold, that the jth second data fields corresponding to the elements greater than the confidence probability threshold are a combined field. 9. The method according to claim 1, further comprising: calculating the confidence probability threshold of the data table by using a gradient descent algorithm. 10. An apparatus for detecting changed data, the apparatus comprising: a recording unit, configured to record change status information of each data field in a data table during a version change; an obtaining unit, configured to obtain, according to the change status information, a probability of a second data field being changed at the same time when a first data field is changed, the probability being a confidence probability of the second data field being changed in the first data field being changed; a determining unit, configured to determine, when confidence probabilities of at least two second data fields being changed in the same first data field being changed are greater than a confidence probability threshold of the data table, that the second data fields corresponding to the confidence probabilities greater than the confidence probability threshold are a combined field; a judging unit, configured to determine whether a combination of the changed data fields matches a combined field template during the version change, the combined field template being any combined field or a combination of at least two of the combined fields excluding same data fields; and a prompting unit, configured to prompt a location of the unmatched changed data field if the judging unit determines that the combination of the changed data fields does not match the combined field template during the current version change. 11. The apparatus according to claim 10, wherein the obtaining unit comprises: a recording subunit, configured to record, according to all the change status information, the number of times that the second data field being changed at the same time when the first data field is changed; and an obtaining subunit, configured to divide the number of times that the second data field being changed at the same time when the first data field is changed by the number of times that the first data field is changed, to obtain the probability of the second data field being changed at the same time when the first data field is changed. 12. The apparatus according to claim 11, wherein the recording subunit is specifically configured to: output a change matrix table according to all the change status information, wherein an element of the ith column of the jth row of the change matrix table indicates the number of times that the jth second data field being changed at the same time when the ith first data field is changed, wherein i and j are integers not less than 1. 13. The apparatus according to claim 12, wherein the obtaining subunit is specifically configured to: output a confidence matrix table according to the change matrix table, wherein an element of the ith column of the jth row of the confidence matrix table is a result of dividing the element of the ith column of the jth row of the change matrix table by an element of the ith column of the ith row of the change matrix table, indicating a probability of the jth second data field being changed at the same time when the ith first data field is changed. 14. The apparatus according to claim 13, wherein the determining unit is specifically configured to: determine, when at least two elements of the ith column of the confidence matrix table are greater than the confidence probability threshold, that the jth second data fields corresponding to the elements greater than the confidence probability threshold are a combined field. 15. The apparatus according to claim 11, wherein the recording subunit is specifically configured to: output a change matrix table according to all the change status information, wherein an element of the jth column of the ith row of the change matrix table indicates the number of times that the jth second data field being changed at the same time when the ith first data field is changed, wherein i and j are integers not less than 1. 16. The apparatus according to claim 15, wherein the obtaining subunit is specifically configured to: output a confidence matrix table according to the change matrix table, wherein an element of the jth column of the ith row of the confidence matrix table is a result of dividing the element of the jth column of the ith row of the change matrix table by an element of the ith column of the ith row of the change matrix table, indicating a probability of the jth second data field being changed at the same time when the ith first data field is changed. 17. The apparatus according to claim 16, wherein the determining unit is specifically configured to: determine, when at least two elements of the ith row of the confidence matrix table are greater than the confidence probability threshold, that the jth second data fields corresponding to the elements greater than the confidence probability threshold are a combined field. 18. The apparatus according to claim 10, further comprising: a calculating unit, configured to calculate the confidence probability threshold of the data table by using a gradient descent algorithm. 19. A non-transitory computer readable storage medium having stored therein one or more instructions, which, when executed by a computing device, cause the computing device to: record change status information of each data field in a data table during a version change; obtain, according to the change status information, a probability of a second data field being changed at the same time when a first data field is changed, the probability being a confidence probability of the second data field being changed in the first data field being changed; determine, when confidence probabilities of at least two second data fields being changed in the first data field being changed are greater than a confidence probability threshold of the data table, that the second data fields corresponding to the confidence probabilities greater than the confidence probability threshold are a combined field; determine whether a combination of the changed data fields matches a combined field template during the version change, the combined field template being any combined field or a combination of at least two of the combined fields excluding same data fields; and prompt a location of the unmatched changed data field if the combination of the changed data fields does not match the combined field template during the version change.