摘要：【中文】本发明公开了一种图像样本的特征选择方法、装置、计算机设备及存储介质。所述方法包括：获取包含图像样本特征的特征集合；对特征集合中的所述图像样本特征进行冗余特征筛选；对每个冗余特征子集进行施密特正交化处理，得到N个正交化特征子集，并采用预设的Wrapper方法对N个正交化特征子集进行特征筛选，将筛选出的特征组成第一特征子集；计算特征集合中的每个图像样本特征与预设的目标类别特征之间的相关度，并根据相关度筛选出与目标类别特征相关的图像样本特征，组成第二特征子集；将非冗余特征子集、第一特征子集和第二特征子集进行并集操作，得到新特征集合。本发明的技术方案能够提高图像识别模型的训练精度和识别准确率。 【EN】The invention discloses a feature selection method and device for an image sample, computer equipment and a storage medium. The method comprises the following steps: acquiring a feature set containing image sample features; carrying out redundant feature screening on the image sample features in the feature set; performing Schmidt orthogonalization processing on each redundant feature subset to obtain N orthogonalized feature subsets, performing feature screening on the N orthogonalized feature subsets by adopting a preset Wrapper method, and forming screened features into a first feature subset; calculating the correlation degree between each image sample feature in the feature set and a preset target class feature, and screening out image sample features related to the target class feature according to the correlation degree to form a second feature subset; and carrying out union operation on the non-redundant feature subset, the first feature subset and the second feature subset to obtain a new feature set. The technical scheme of the invention can improve the training precision and the recognition accuracy of the image recognition model.

摘要：【中文】本发明涉及信息分类技术领域，提供了一种文件分类方法、装置、计算机设备及存储介质，该文件分类方法包括：获取目标文件的至少一个属性；按照预先设定的衍生规则对属性进行预处理，获得属性对应的衍生变量；判断衍生变量的类别，根据预设的衍生变量的类别与回归树的对应处理关系，在回归模型中查询处理衍生变量的回归树；通过查询得到的回归树对衍生变量进行回归处理，分别获得各颗回归树的预测值，根据各颗回归树的预测值获得目标文件的预测值；根据预先训练好的最佳切分值对预测值进行切分，获得目标文件对应的预测类别。通过本发明的实施，能够有效解决现有的文件分类方法存在特征数据提取难度较大、分类精确度不高的问题。 【EN】The invention relates to the technical field of information classification, and provides a file classification method, a device, computer equipment and a storage medium, wherein the file classification method comprises the following steps: acquiring at least one attribute of a target file; preprocessing the attributes according to preset derivative rules to obtain derivative variables corresponding to the attributes; judging the category of the derivative variable, and inquiring the regression tree for processing the derivative variable in the regression model according to the corresponding processing relation between the preset category of the derivative variable and the regression tree; performing regression processing on the derivative variables through the regression trees obtained through query to respectively obtain the predicted value of each regression tree, and obtaining the predicted value of the target file according to the predicted value of each regression tree; and segmenting the predicted value according to the pre-trained optimal segmentation value to obtain the prediction category corresponding to the target file. By implementing the method, the problems of high difficulty in extracting the characteristic data and low classification accuracy of the conventional file classification method can be effectively solved.

摘要：【中文】本发明涉及数据处理领域，公开了一种特定数据处理方法、装置、计算机设备及存储介质，其方法包括：查询特定数据的映射特征，映射特征包括特定版本和\或特定配置；根据映射特征获取与特定数据匹配的数据处理协议；根据数据处理协议将特定数据解析为多个字段数据，每个字段数据包括字段名和字段值；获取数据处理协议的字段校验列表，根据字段校验列表对多个字段数据进行校验；若多个字段数据通过校验，则将多个字段数据存储在指定存储位置。本发明提出的特定数据处理方法，可以提高对特定数据的处理能力，降低特定数据的处理成本，提高特定数据的处理效率。 【EN】The invention relates to the field of data processing, and discloses a specific data processing method, a specific data processing device, computer equipment and a storage medium, wherein the method comprises the following steps: inquiring the mapping characteristics of the specific data, wherein the mapping characteristics comprise specific versions and/or specific configurations; acquiring a data processing protocol matched with the specific data according to the mapping characteristics; parsing specific data into a plurality of field data according to a data processing protocol, each field data including a field name and a field value; acquiring a field check list of a data processing protocol, and checking a plurality of field data according to the field check list; and if the plurality of field data pass the verification, storing the plurality of field data in the designated storage position. The specific data processing method provided by the invention can improve the processing capacity of specific data, reduce the processing cost of the specific data and improve the processing efficiency of the specific data.

摘要：【中文】本发明涉及分类模型领域，公开了一种数据预处理方法、装置、计算机设备及存储介质，其方法包括：判断天气样本数据的指定因子的数据类型；获取与数据类型匹配的第一数据填充方法，并根据第一数据填充方法对天气样本数据在指定因子上的缺失值进行第一次填充；在所有天气样本数据的缺失值填充完毕后，通过预设嵌入式特征选择算法对存在已填充缺失值的指定因子进行筛选，获得优选因子；判断已填充的缺失值属于优选因子的天气样本数据是否存在历史数据；若已填充的缺失值属于优选因子的天气样本数据存在历史数据，则根据第二数据填充方法和历史数据计算替换值，将已填充的缺失值替换为替换值。本发明可提高数据挖掘方法的预测准确率。 【EN】The invention relates to the field of classification models, and discloses a data preprocessing method, a data preprocessing device, computer equipment and a storage medium, wherein the method comprises the following steps: judging the data type of the designated factor of the weather sample data; acquiring a first data filling method matched with the data type, and filling missing values of the weather sample data on the designated factors for the first time according to the first data filling method; after the missing values of all weather sample data are filled, screening specified factors with filled missing values through a preset embedded feature selection algorithm to obtain preferred factors; judging whether historical data exist in the weather sample data with the filled missing values belonging to the preferred factors; and if the filled missing value belongs to the historical data of the weather sample data of the preferred factor, calculating a replacement value according to the second data filling method and the historical data, and replacing the filled missing value with the replacement value. The invention can improve the prediction accuracy of the data mining method.

摘要：【中文】本发明公开了一种访问数据处理方法、装置、计算机设备及存储介质。所述方法包括：对访问数据样本中的正样本和负样本组成训练集进行训练，得到分类模型；对访问数据样本中的未知访问数据样本进行分类得到第一价值标签；对访问数据样本进行聚类运算得到第二价值标签；若第一价值标签和第二价值标签一致，则确定未知访问数据样本的最终价值标签，根据最终价值标签的未知访问数据样本，训练价值识别模型；将与访问对象关联的访问数据输入训练完成的价值识别模型中，获取访问对象价值结果。本发明可以准确确定出充足的访问数据样本，进而通过根据已确定的访问数据样本训练的价值识别模型，高效、准确地确定有潜在价值客户。 【EN】The invention discloses an access data processing method and device, computer equipment and a storage medium. The method comprises the following steps: training a training set consisting of positive samples and negative samples in the access data samples to obtain a classification model; classifying unknown access data samples in the access data samples to obtain first value labels; clustering the access data samples to obtain a second value label; if the first value label is consistent with the second value label, determining a final value label of the unknown access data sample, and training a value recognition model according to the unknown access data sample of the final value label; and inputting the access data associated with the access object into the trained value recognition model to obtain the value result of the access object. According to the method, sufficient access data samples can be accurately determined, and further, potential value customers can be efficiently and accurately determined through the value recognition model trained according to the determined access data samples.

摘要：【中文】本发明公开了一种数据脱敏处理方法、装置、计算机设备及存储介质。该方法包括获取脱敏处理请求，基于脱敏处理请求获取待脱敏数据表，待脱敏数据表对应一表标识，待脱敏数据表包括待脱敏字段和对应的待脱敏信息；基于表标识查询数据库，获取与表标识相对应的目标敏感数据屏蔽表，目标敏感数据屏蔽表包括目标敏感字段和对应的目标脱敏规则；将待脱敏数据表中，与目标敏感字段相同的待脱敏字段对应的待脱敏信息的处理状态设置为未处理状态；调用目标脱敏脚本执行目标脱敏规则，对待脱敏数据表中与目标敏感字段相同的待脱敏字段对应的待脱敏信息进行脱敏处理，获取脱敏处理结果，并更新待脱敏信息的处理状态，以实时跟进脱敏处理进度。 【EN】The invention discloses a data desensitization processing method, a data desensitization processing device, computer equipment and a storage medium. The method comprises the steps of obtaining a desensitization processing request, obtaining a data table to be desensitized based on the desensitization processing request, wherein the data table to be desensitized corresponds to a table identifier, and the data table to be desensitized comprises a field to be desensitized and corresponding information to be desensitized; inquiring a database based on the table identification to obtain a target sensitive data shielding table corresponding to the table identification, wherein the target sensitive data shielding table comprises a target sensitive field and a corresponding target desensitization rule; setting the processing state of the information to be desensitized corresponding to the field to be desensitized, which is the same as the target sensitive field, in the data table to be desensitized as an unprocessed state; and calling a target desensitization script to execute a target desensitization rule, desensitizing information corresponding to a to-be-desensitized field which is the same as the target desensitization field in the to-be-desensitized data table, acquiring a desensitization processing result, and updating a processing state of the to-be-desensitized information to follow up the desensitization processing progress in real time.

摘要：【中文】本发明公开了一种应用于文件传输的防重处理方法，包括：构建防重维度配置表，所述防重维度配置表包括发送方编码字段、接收方编码字段、发送防重方式字段、接收防重方式字段；构建文件防重表，所述文件防重表用于存储每一次文件传输记录；在发送/接收文件时，根据发送方编码和接收方编码查询所述防重维度配置表，得到待处理文件的发送防重方式/接收防重方式；根据所述发送防重方式/接收防重方式查询所述文件防重表，若未查询到所述待处理文件的文件传输记录时，根据所述发送防重方式/接收防重方式执行防重处理，然后发送/接收所述待处理文件。本发明解决了现有文件传输过程采用统一防重方式导致的过度防重、无法配置文件防重方式的问题。 【EN】The invention discloses a reprocessing prevention method applied to file transmission, which comprises the following steps: constructing a duplicate prevention dimension configuration table, wherein the duplicate prevention dimension configuration table comprises a sender encoding field, a receiver encoding field, a sending duplicate prevention mode field and a receiving duplicate prevention mode field; constructing a file anti-duplication table, wherein the file anti-duplication table is used for storing file transmission records each time; when a file is sent/received, inquiring the anti-duplication dimension configuration table according to a sender code and a receiver code to obtain a sending anti-duplication mode/a receiving anti-duplication mode of the file to be processed; and inquiring the file anti-duplication table according to the sending anti-duplication mode/receiving anti-duplication mode, if the file transmission record of the file to be processed is not inquired, executing anti-duplication processing according to the sending anti-duplication mode/receiving anti-duplication mode, and then sending/receiving the file to be processed. The invention solves the problems that the conventional file transmission process adopts a unified anti-duplication mode, so that the file anti-duplication mode is excessively prevented and cannot be configured.