CN104731800A - Data analysis device - Google Patents
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Abstract
本发明提出了一种数据分析装置，所述装置包括事件处理单元、数据分析单元、用户接口以及存储单元。其中，所述事件处理单元接收外部应用所触发的事件，并确定是否存在与该规则事件相关联的分析规则树，如果存在与该规则事件相关联的分析规则树，则将所述事件传送到数据分析单元，所述数据分析单元基于与所接收到的事件相关联的分析规则树执行数据分析操作，并将分析结果传送回所述外部应用。本发明所公开的数据分析装置能够对分析规则进行有效复用并且易于维护和扩展。
The invention provides a data analysis device, which includes an event processing unit, a data analysis unit, a user interface and a storage unit. Wherein, the event processing unit receives an event triggered by an external application, and determines whether there is an analysis rule tree associated with the rule event, and if there is an analysis rule tree associated with the rule event, then transmits the event to A data analysis unit that performs a data analysis operation based on an analysis rule tree associated with the received event, and transmits an analysis result back to the external application. The data analysis device disclosed by the invention can effectively reuse analysis rules and is easy to maintain and expand.
Description
技术领域 technical field
本发明涉及数据分析装置，更具体地，涉及基于分析规则树的数据分析装置。 The present invention relates to a data analysis device, and more particularly, to a data analysis device based on an analysis rule tree.
背景技术 Background technique
目前，随着信息数据处理需求的日益增长以及不同领域的业务种类的日益丰富，基于预定的分析规则进行数据分析变得越来越重要。 At present, with the increasing demand for information and data processing and the increasing variety of businesses in different fields, data analysis based on predetermined analysis rules is becoming more and more important.
在现有的技术方案中，数据分析的基本过程如下：（1）预先设定分析规则；（2）判定接收到的输入参数是否满足该分析规则；（3）如果满足该分析规则，则触发预定的动作。 In the existing technical solutions, the basic process of data analysis is as follows: (1) pre-set the analysis rules; (2) determine whether the received input parameters meet the analysis rules; (3) if the analysis rules are met, trigger scheduled action.
然而，现有的技术方案存在如下问题：由于难于对各个分析规则之间的关联性进行有效的管理，故存在分析规则的冗余，从而导致分析规则的复用率较低，并进而致使系统的维护、扩展以及升级变得困难。 However, the existing technical solutions have the following problems: because it is difficult to effectively manage the correlation between various analysis rules, there is redundancy in the analysis rules, which leads to a low reuse rate of the analysis rules, and further leads to system failure. Maintenance, expansion, and upgrades become difficult.
因此，存在如下需求：提供能够对分析规则进行有效复用并且易于维护和扩展的基于分析规则树的数据分析装置。 Therefore, there is a need to provide a data analysis device based on an analysis rule tree that can effectively reuse analysis rules and is easy to maintain and expand.
发明内容 Contents of the invention
为了解决上述现有技术方案所存在的问题，本发明提出了能够对分析规则进行有效复用并且易于维护和扩展的基于分析规则树的数据分析装置。 In order to solve the problems in the above prior art solutions, the present invention proposes a data analysis device based on an analysis rule tree that can effectively reuse analysis rules and is easy to maintain and expand.
本发明的目的是通过以下技术方案实现的： The purpose of the present invention is achieved through the following technical solutions:
一种数据分析装置，所述数据分析装置包括： A data analysis device, the data analysis device comprising:
事件处理单元，所述事件处理单元接收外部应用所触发的事件，并确定是否存在与该规则事件相关联的分析规则树，如果存在与该规则事件相关联的分析规则树，则将所述事件传送到数据分析单元，其中，所述事件包含事件参数，并且所述分析规则树定义各个分析规则以及各个分析规则之间的关联关系； An event processing unit, the event processing unit receives an event triggered by an external application, and determines whether there is an analysis rule tree associated with the rule event, and if there is an analysis rule tree associated with the rule event, the event is transmitted to the data analysis unit, wherein the event includes event parameters, and the analysis rule tree defines each analysis rule and the association relationship between each analysis rule;
数据分析单元，数据分析单元基于与所接收到的事件相关联的分析规则树执行数据分析操作，并将分析结果传送回所述外部应用，其中，该事件的事件参数被用作该分析规则树的输入参数； a data analysis unit that performs a data analysis operation based on an analysis rule tree associated with the received event, and transmits the analysis result back to the external application, wherein the event parameter of the event is used as the analysis rule tree input parameters;
用户接口，所述用户接口用于根据用户指令配置所述分析规则树； a user interface configured to configure the analysis rule tree according to user instructions;
存储单元，所述存储单元用于存储所述分析规则树。 A storage unit, the storage unit is used to store the analysis rule tree.
在上面所公开的方案中，优选地，所述数据分析单元进一步用于根据用户预定的修正规则对所述分析结果进行修正，并将经修正的分析结果传送回所述外部应用，其中，用户能够经由所述用户接口配置所述修正规则。 In the solutions disclosed above, preferably, the data analysis unit is further configured to correct the analysis results according to the correction rules predetermined by the user, and send the corrected analysis results back to the external application, wherein the user The modification rules can be configured via the user interface.
在上面所公开的方案中，优选地，所述分析规则树是只有一个根节点的多叉树。 In the solutions disclosed above, preferably, the analysis rule tree is a multi-fork tree with only one root node.
在上面所公开的方案中，优选地，所述分析规则树中的每个节点定义一个分析规则，并且各个节点之间的父子和/或兄弟关系定义各个分析规则之间的关联关系。 In the solution disclosed above, preferably, each node in the analysis rule tree defines an analysis rule, and the parent-child and/or sibling relationship between each node defines the association relationship between each analysis rule.
在上面所公开的方案中，优选地，所述分析规则树中的每个节点至少包含下列元素：规则条件和规则动作，所述规则条件定义满足该条分析规则的条件，所述规则动作定义当该条分析规则的条件被满足时所执行的动作。 In the solution disclosed above, preferably, each node in the analysis rule tree includes at least the following elements: rule condition and rule action, the rule condition defines the condition for satisfying the analysis rule, and the rule action defines The action to be executed when the condition of the analysis rule is met.
在上面所公开的方案中，优选地，所述规则条件进一步包括下列元素：输入参数、输出参数、实现类型以及实现地址，其中所述输入参数是该节点所要分析的数据，所述输出参数是所述输入参数是否满足所述规则条件的判别结果数据，所述实现类型指示所述规则条件的实现类型，所述实现地址指示实施所述规则条件判别的实体的地址。 In the solution disclosed above, preferably, the rule condition further includes the following elements: input parameter, output parameter, implementation type, and implementation address, wherein the input parameter is the data to be analyzed by the node, and the output parameter is The judgment result data of whether the input parameter satisfies the rule condition, the realization type indicates the realization type of the rule condition, and the realization address indicates the address of the entity implementing the rule condition judgment.
在上面所公开的方案中，优选地，所述规则动作进一步包括下列元素：输入参数、输出参数、实现类型以及实现地址，其中所述输入参数是该节点所要分析的数据，所述输出参数是该规则动作被执行后的结果数据，所述实现类型指示所述规则动作的实现类型，所述实现地址指示实施所述规则动作的实体的地址。 In the solution disclosed above, preferably, the rule action further includes the following elements: input parameter, output parameter, implementation type and implementation address, wherein the input parameter is the data to be analyzed by the node, and the output parameter is The result data after the rule action is executed, the implementation type indicates the implementation type of the rule action, and the implementation address indicates the address of the entity implementing the rule action.
在上面所公开的方案中，优选地，如果所述规则条件被满足，则随之由所述规则动作的实现地址所指向的实体执行预定的动作，并将执行后的结果数据经修正后传送回所述外部应用。 In the solution disclosed above, preferably, if the rule condition is satisfied, then the entity pointed to by the implementation address of the rule action executes the predetermined action, and transmits the executed result data after modification back to the external application.
在上面所公开的方案中，优选地，所述规则动作执行后的结果数据指示告警级别，所述告警级别是下列中的一个：通过级别、提示级别、限制级别以及致命错误级别。 In the solution disclosed above, preferably, the result data after the execution of the rule action indicates a warning level, and the warning level is one of the following: pass level, prompt level, limit level and fatal error level.
在上面所公开的方案中，优选地，所述数据分析单元能够根据用户预定的修正规则对结果数据所指示的告警级别进行修正。 In the solution disclosed above, preferably, the data analysis unit can correct the alarm level indicated by the result data according to a correction rule predetermined by the user.
在上面所公开的方案中，优选地，所述数据分析单元以如下方式执行数据分析操作：从分析规则树的根节点开始以前序遍历的方式遍历该分析规则树的节点，其中，事件的事件参数被用作该分析规则树的输入参数。 In the solution disclosed above, preferably, the data analysis unit performs the data analysis operation in the following manner: starting from the root node of the analysis rule tree, traversing the nodes of the analysis rule tree in a preorder traversal manner, wherein the event of the event Parameters are used as input parameters for the analysis rule tree.
在上面所公开的方案中，优选地，针对每一个遍历到的节点，当规则条件被满足并且对应的规则动作执行后返回的告警级别经修正后低于“限制级别”时，继续进行前序遍历过程。 In the solution disclosed above, preferably, for each traversed node, when the rule condition is met and the corresponding rule action is executed and the alarm level returned after correction is lower than the "restriction level", continue the preamble Go through the process.
在上面所公开的方案中，优选地，针对每一个遍历到的节点，如果规则条件被满足并且对应的规则动作执行后返回的告警级别经修正后高于“限制级别”，则终止数据分析操作。 In the solution disclosed above, preferably, for each traversed node, if the rule condition is satisfied and the corresponding rule action is executed and the alarm level returned after the correction is higher than the "restriction level", the data analysis operation is terminated .
本发明所公开的基于分析规则树的数据分析装置具有如下优点：优于使用了分析规则树，并且实现了规则条件和规则动作的分离以及松耦合性（即通过节点将规则条件和规则动作内聚），从而显著地提高了分析规则的复用率以及配置灵活性，并进而使得系统易于维护、扩展以及升级。 The data analysis device based on the analysis rule tree disclosed by the present invention has the following advantages: it is better than using the analysis rule tree, and realizes the separation and loose coupling of the rule condition and the rule action (that is, the rule condition and the rule action are integrated through the node. aggregation), which significantly improves the reuse rate and configuration flexibility of analysis rules, and thus makes the system easy to maintain, expand and upgrade.
附图说明 Description of drawings
结合附图，本发明的技术特征以及优点将会被本领域技术人员更好地理解，其中： With reference to the accompanying drawings, the technical features and advantages of the present invention will be better understood by those skilled in the art, wherein:
图1是根据本发明的实施例的数据分析装置的示意性结构图。 FIG. 1 is a schematic structural diagram of a data analysis device according to an embodiment of the present invention.
具体实施方式 Detailed ways
图1是根据本发明的实施例的数据分析装置的示意性结构图。如图1所示，本发明所公开的数据分析装置包括事件处理单元1、数据分析单元2、用户接口3以及存储单元4。其中，所述事件处理单元1接收外部应用（例如业务逻辑）所触发的事件（示例性地，所述事件可以由某个函数的调用或到达业务流程中的某个节点产生），并确定是否存在与该规则事件相关联的分析规则树，如果存在与该规则事件相关联的分析规则树，则将所述事件传送到数据分析单元2，其中，所述事件包含事件参数，并且所述分析规则树定义各个分析规则以及各个分析规则之间的关联关系。数据分析单元2基于与所接收到的事件相关联的分析规则树执行数据分析操作，并将分析结果传送回所述外部应用，其中，该事件的事件参数被用作该分析规则树的输入参数。所述用户接口3用于根据用户指令配置所述分析规则树。所述存储单元4用于存储所述分析规则树。 FIG. 1 is a schematic structural diagram of a data analysis device according to an embodiment of the present invention. As shown in FIG. 1 , the data analysis device disclosed in the present invention includes an event processing unit 1 , a data analysis unit 2 , a user interface 3 and a storage unit 4 . Wherein, the event processing unit 1 receives an event triggered by an external application (such as business logic) (for example, the event may be generated by calling a certain function or arriving at a certain node in the business process), and determines whether There is an analysis rule tree associated with the rule event, if there is an analysis rule tree associated with the rule event, the event is transmitted to the data analysis unit 2, wherein the event contains event parameters, and the analysis The rule tree defines each analysis rule and the association relationship between each analysis rule. The data analysis unit 2 performs a data analysis operation based on the analysis rule tree associated with the received event, and transmits the analysis result back to the external application, wherein the event parameter of the event is used as an input parameter of the analysis rule tree . The user interface 3 is used to configure the analysis rule tree according to user instructions. The storage unit 4 is used for storing the analysis rule tree.
优选地，在本发明所公开的数据分析装置中，所述数据分析单元2进一步用于根据用户预定的修正规则对所述分析结果进行修正，并将经修正的分析结果传送回所述外部应用，其中，用户能够经由所述用户接口3配置所述修正规则。 Preferably, in the data analysis device disclosed in the present invention, the data analysis unit 2 is further used to correct the analysis result according to the correction rule predetermined by the user, and send the corrected analysis result back to the external application , wherein the user can configure the modification rules via the user interface 3 .
优选地，在本发明所公开的数据分析装置中，所述分析规则树是只有一个根节点的多叉树。 Preferably, in the data analysis device disclosed in the present invention, the analysis rule tree is a multi-fork tree with only one root node.
优选地，在本发明所公开的数据分析装置中，所述分析规则树中的每个节点定义一个分析规则，并且各个节点之间的父子和/或兄弟关系定义各个分析规则之间的关联关系（例如“与”关系、“或”关系等等）。 Preferably, in the data analysis device disclosed in the present invention, each node in the analysis rule tree defines an analysis rule, and the parent-child and/or sibling relationship between each node defines the association relationship between each analysis rule (eg "and" relationship, "or" relationship, etc.).
优选地，在本发明所公开的数据分析装置中，所述分析规则树中的每个节点至少包含下列元素：规则条件和规则动作，所述规则条件定义满足该条分析规则的条件，所述规则动作定义当该条分析规则的条件被满足时所执行的动作。 Preferably, in the data analysis device disclosed in the present invention, each node in the analysis rule tree includes at least the following elements: a rule condition and a rule action, the rule condition defines a condition that satisfies the analysis rule, and the Rule action defines the action to be executed when the condition of the analysis rule is met.
优选地，在本发明所公开的数据分析装置中，所述规则条件进一步包括下列元素：输入参数、输出参数、实现类型以及实现地址，其中所述输入参数是该节点所要分析的数据（即事件的事件参数），所述输出参数是所述输入参数是否满足所述规则条件的判别结果数据（例如True表示满足所述规则条件），所述实现类型指示所述规则条件的实现类型（例如条件表达式），所述实现地址指示实施所述规则条件判别的实体的地址（例如URL）。 Preferably, in the data analysis device disclosed in the present invention, the rule condition further includes the following elements: input parameter, output parameter, implementation type and implementation address, wherein the input parameter is the data to be analyzed by the node (i.e. event event parameter), the output parameter is the judgment result data of whether the input parameter satisfies the rule condition (for example, True means that the rule condition is met), and the implementation type indicates the implementation type of the rule condition (for example, the condition expression), the realization address indicates the address (for example, URL) of the entity that implements the judgment of the rule condition.
优选地，在本发明所公开的数据分析装置中，所述规则动作进一步包括下列元素：输入参数、输出参数、实现类型以及实现地址，其中所述输入参数是该节点所要分析的数据（即事件的事件参数），所述输出参数是该规则动作被执行后的结果数据（例如，针对校验类规则，输出参数为校验信息的说明，而针对变更类规则，输出参数为对业务数据变更后的数据），所述实现类型指示所述规则动作的实现类型，所述实现地址指示实施所述规则动作的实体的地址（例如URL）。 Preferably, in the data analysis device disclosed in the present invention, the rule action further includes the following elements: input parameter, output parameter, implementation type, and implementation address, wherein the input parameter is the data to be analyzed by the node (that is, the event event parameters), the output parameter is the result data after the action of the rule is executed (for example, for the verification rule, the output parameter is the description of the verification information, and for the change rule, the output parameter is the change of the business data data), the implementation type indicates the implementation type of the rule action, and the implementation address indicates the address (for example, URL) of the entity implementing the rule action.
优选地，在本发明所公开的数据分析装置中，如果所述规则条件被满足，则随之由所述规则动作的实现地址所指向的实体执行预定的动作，并将执行后的结果数据经修正后传送回所述外部应用。 Preferably, in the data analysis device disclosed in the present invention, if the rule condition is satisfied, then the entity pointed to by the implementation address of the rule action executes a predetermined action, and the executed result data is passed through Corrections are sent back to the external application.
优选地，在本发明所公开的数据分析装置中，所述规则动作执行后的结果数据指示告警级别，所述告警级别是下列中的一个：通过级别、提示级别、限制级别以及致命错误级别。 Preferably, in the data analysis device disclosed in the present invention, the result data after the execution of the rule action indicates a warning level, and the warning level is one of the following: pass level, prompt level, limit level and fatal error level.
优选地，在本发明所公开的数据分析装置中，所述数据分析单元2能够根据用户预定的修正规则对结果数据所指示的告警级别进行修正（例如将提示级别降低到通过级别）。 Preferably, in the data analysis device disclosed in the present invention, the data analysis unit 2 can modify the warning level indicated by the result data according to the modification rule predetermined by the user (for example, reduce the prompt level to pass level).
优选地，在本发明所公开的数据分析装置中，所述数据分析单元2以如下方式执行数据分析操作：从分析规则树的根节点开始以前序遍历的方式遍历该分析规则树的节点（即针对每一个遍历到的节点，如果规则条件不被满足，则判断是否有兄弟节点，如果有兄弟节点，则循环之前节点所进行的一系列逻辑，而如果规则条件被满足并且对应的规则动作执行后返回的告警级别经修正后低于“限制级别”（即表示允许执行后续的业务逻辑），则判断是否有儿子节点，如果有则循环之前节点进行的一系列逻辑，否则判断是否有兄弟节点，如果有，同样循环之前节点进行的一系列逻辑，否则继续寻找当前节点的上一层节点的兄弟节点，依次遍历整棵树，直至完成所有节点的遍历），其中，事件的事件参数被用作该分析规则树的输入参数。 Preferably, in the data analysis device disclosed in the present invention, the data analysis unit 2 performs the data analysis operation in the following manner: starting from the root node of the analysis rule tree, traversing the nodes of the analysis rule tree in a preorder traversal manner (i.e. For each traversed node, if the rule condition is not satisfied, then judge whether there is a sibling node, if there is a sibling node, loop a series of logic performed by the previous node, and if the rule condition is satisfied and the corresponding rule action is executed After the returned alarm level is revised and lower than the "restriction level" (that is, it is allowed to execute subsequent business logic), it is judged whether there is a child node, and if there is a series of logic performed by the previous node, otherwise it is judged whether there is a sibling node , if there is, the same series of logic performed by the previous node, otherwise continue to search for the sibling nodes of the upper node of the current node, and traverse the entire tree in turn until all nodes are traversed), wherein the event parameters of the event are used as the input parameter of the analysis rule tree.
优选地，在本发明所公开的数据分析装置中，针对每一个遍历到的节点，当规则条件被满足并且对应的规则动作执行后返回的告警级别经修正后低于“限制级别”（即表示允许执行后续的业务逻辑）时，继续进行前序遍历过程。 Preferably, in the data analysis device disclosed in the present invention, for each traversed node, when the rule condition is met and the corresponding rule action is executed, the alarm level returned is lower than the "restriction level" after correction (that is, When subsequent business logic is allowed to execute), the preorder traversal process continues.
优选地，在本发明所公开的数据分析装置中，针对每一个遍历到的节点，如果规则条件被满足并且对应的规则动作执行后返回的告警级别经修正后高于“限制级别”（即表示拒绝执行后续的业务逻辑），则终止数据分析操作。 Preferably, in the data analysis device disclosed in the present invention, for each traversed node, if the rule condition is met and the corresponding rule action is executed, the alarm level returned after correction is higher than the "restriction level" (that is, refuse to execute subsequent business logic), the data analysis operation is terminated.
示例性地，在本发明所公开的数据分析装置中，实施所述规则动作和/或所述规则条件判别的实体由脚本语言（例如JavaScript）实现，并且所述实现地址是所述脚本语言的保存路径。 Exemplarily, in the data analysis device disclosed in the present invention, the entity that implements the rule action and/or the rule condition judgment is implemented by a script language (such as JavaScript), and the implementation address is the script language save route.
可替代地，在本发明所公开的数据分析装置中，实施所述规则动作和/或所述规则条件判别的实体由静态语言（例如Java、C++等等）实现，并且所述实现地址是所述静态语言形成的可执行文件的路径。 Alternatively, in the data analysis device disclosed in the present invention, the entity that implements the rule action and/or the rule condition judgment is implemented by a static language (such as Java, C++, etc.), and the implementation address is the The path to the executable file formed by the above static language.
可替代地，在本发明所公开的数据分析装置中，实施所述规则动作和/或所述规则条件判别的实体由结构化查询语言（例如PL/SQL、T-SQL等等）实现，并且所述实现地址是所述结构化查询语言形成的存储过程名。 Alternatively, in the data analysis device disclosed in the present invention, the entity implementing the rule action and/or the judgment of the rule condition is implemented by a structured query language (such as PL/SQL, T-SQL, etc.), and The implementation address is the name of the stored procedure formed by the structured query language.
由上可见，本发明所公开的数据分析装置具有下列优点：优于使用了分析规则树，并且实现了规则条件和规则动作的分离以及松耦合性（即通过节点将规则条件和规则动作内聚），从而显著地提高了分析规则的复用率以及配置灵活性，并进而使得系统易于维护、扩展以及升级。 It can be seen from the above that the data analysis device disclosed in the present invention has the following advantages: it is better than using an analysis rule tree, and realizes the separation and loose coupling of rule conditions and rule actions (that is, the cohesion of rule conditions and rule actions through nodes ), thus significantly improving the reuse rate of analysis rules and configuration flexibility, and thus making the system easy to maintain, expand and upgrade.
尽管本发明是通过上述的优选实施方式进行描述的，但是其实现形式并不局限于上述的实施方式。应该认识到：在不脱离本发明主旨和范围的情况下，本领域技术人员可以对本发明做出不同的变化和修改。 Although the present invention has been described through the above-mentioned preferred embodiments, its implementation forms are not limited to the above-mentioned embodiments. It should be appreciated that those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106713254A (en) * | 2015-11-18 | 2017-05-24 | 中国科学院声学研究所 | Matching regular set generation and deep packet detection methods |
| CN107645403A (en) * | 2016-07-22 | 2018-01-30 | 阿里巴巴集团控股有限公司 | Terminal rule engine apparatus, terminal rule operation method |
| CN107770798A (en) * | 2016-08-22 | 2018-03-06 | 深圳市中兴微电子技术有限公司 | A kind of data analysing method and device |
| CN109118353A (en) * | 2018-07-20 | 2019-01-01 | 中国邮政储蓄银行股份有限公司 | The data processing method and device of air control model |
| CN112800095A (en) * | 2021-04-13 | 2021-05-14 | 腾讯科技（深圳）有限公司 | Data processing method, device, equipment and storage medium |
| CN113390428A (en) * | 2020-03-13 | 2021-09-14 | 阿里巴巴集团控股有限公司 | Navigation method, server and terminal |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100013910A (en) * | 2008-08-01 | 2010-02-10 | 한국전자통신연구원 | Event rule-based system and method for integrated u-city monitoring services |
| CN101902336A (en) * | 2009-05-27 | 2010-12-01 | 北京启明星辰信息技术股份有限公司 | Rule model-based security event correlation analysis system and method |
| CN102571475A (en) * | 2010-12-27 | 2012-07-11 | 中国银联股份有限公司 | Security information interacting and monitoring system and method based on data analysis |
| CN102724071A (en) * | 2012-06-19 | 2012-10-10 | 国网电力科学研究院 | Method and system for power communication failure early warning analysis based on network model and rule models |
| CN102915373A (en) * | 2012-11-06 | 2013-02-06 | 无锡江南计算技术研究所 | Data storage method and device |
-
2013
- 2013-12-20 CN CN201310707342.2A patent/CN104731800B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100013910A (en) * | 2008-08-01 | 2010-02-10 | 한국전자통신연구원 | Event rule-based system and method for integrated u-city monitoring services |
| CN101902336A (en) * | 2009-05-27 | 2010-12-01 | 北京启明星辰信息技术股份有限公司 | Rule model-based security event correlation analysis system and method |
| CN102571475A (en) * | 2010-12-27 | 2012-07-11 | 中国银联股份有限公司 | Security information interacting and monitoring system and method based on data analysis |
| CN102724071A (en) * | 2012-06-19 | 2012-10-10 | 国网电力科学研究院 | Method and system for power communication failure early warning analysis based on network model and rule models |
| CN102915373A (en) * | 2012-11-06 | 2013-02-06 | 无锡江南计算技术研究所 | Data storage method and device |
Non-Patent Citations (1)
| Title |
|---|
| 岳海涛: "基于事件关联和数据挖掘的网络故障关联技术的研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106713254A (en) * | 2015-11-18 | 2017-05-24 | 中国科学院声学研究所 | Matching regular set generation and deep packet detection methods |
| CN106713254B (en) * | 2015-11-18 | 2019-08-06 | 中国科学院声学研究所 | A method for generating matching regular sets and deep packet inspection |
| CN107645403A (en) * | 2016-07-22 | 2018-01-30 | 阿里巴巴集团控股有限公司 | Terminal rule engine apparatus, terminal rule operation method |
| CN107645403B (en) * | 2016-07-22 | 2020-07-03 | 阿里巴巴集团控股有限公司 | Terminal rule engine device and terminal rule operation method |
| TWI752038B (en) * | 2016-07-22 | 2022-01-11 | 開曼群島商創新先進技術有限公司 | Terminal rule engine device, terminal rule running method |
| CN107770798A (en) * | 2016-08-22 | 2018-03-06 | 深圳市中兴微电子技术有限公司 | A kind of data analysing method and device |
| CN109118353A (en) * | 2018-07-20 | 2019-01-01 | 中国邮政储蓄银行股份有限公司 | The data processing method and device of air control model |
| CN109118353B (en) * | 2018-07-20 | 2022-03-15 | 中国邮政储蓄银行股份有限公司 | Data processing method and device of wind control model |
| CN113390428A (en) * | 2020-03-13 | 2021-09-14 | 阿里巴巴集团控股有限公司 | Navigation method, server and terminal |
| CN112800095A (en) * | 2021-04-13 | 2021-05-14 | 腾讯科技（深圳）有限公司 | Data processing method, device, equipment and storage medium |
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|---|---|
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