Abstract: Embodiments of the present invention disclose a defect prediction method and apparatus, which relate to the data processing field, and implement accurate and quick locating of a defect in a faulty product. A specific solution is as follows: selecting a training attribute set from a pre-stored product fault record according to a target attribute, and combining the target attribute and the training attribute set into a training set, where the target attribute is a defect attribute of a historical faulty product; generating a classifier set according to the training set, where the classifier set includes at least two tree classifiers; and predicting a defect of a faulty product by using the classifier set as a prediction model. The present invention is used in a process of predicting a defect of a faulty product.

Abstract: A method and an apparatus for analyzing signaling traffic are disclosed by the embodiments of the present invention, which relate to the field of wireless communications, and are capable of analyzing signaling traffic and obtaining an analysis result. The method of the present invention includes: obtaining the number of signaling messages generated in the process that a terminal device transmits a packet according to user-plane data of the terminal device, where the user-plane data includes an interval between packets transmitted by a terminal device or the length of each packet transmitted by the terminal device; and analyzing the number of signaling messages generated in the process that the terminal device transmits a packet and obtaining an analysis result, where the analysis result includes address information about a terminal device that generates anomaly signaling traffic and/or characteristic information that affects signaling traffic.

Abstract: Embodiments of the present invention disclose a defect prediction method and apparatus, which relate to the data processing field, and implement accurate and quick locating of a defect in a faulty product. A specific solution is as follows: selecting a training attribute set from a pre-stored product fault record according to a target attribute, and combining the target attribute and the training attribute set into a training set, where the target attribute is a defect attribute of a historical faulty product; generating a classifier set according to the training set, where the classifier set includes at least two tree classifiers; and predicting a defect of a faulty product by using the classifier set as a prediction model. The present invention is used in a process of predicting a defect of a faulty product.

Abstract: A method and an apparatus for analyzing signaling traffic are disclosed by the embodiments of the present invention, which relate to the field of wireless communications, and are capable of analyzing signaling traffic and obtaining an analysis result. The method of the present invention includes: obtaining the number of signaling messages generated in the process that a terminal device transmits a packet according to user-plane data of the terminal device, where the user-plane data includes an interval between packets transmitted by a terminal device or the length of each packet transmitted by the terminal device; and analyzing the number of signaling messages generated in the process that the terminal device transmits a packet and obtaining an analysis result, where the analysis result includes address information about a terminal device that generates anomaly signaling traffic and/or characteristic information that affects signaling traffic.