Abstract:
A data management method and device are disclosed. The data management method includes acquiring data published by a first user on the Internet and a shared domain of the data; expressing the data published by the first user as user data in a uniform format; and transforming, using a visualization technology, the user data in the uniform format into a graph or an image having a relationship between time and space for display. In the foregoing manner, user data can be visually reflected, such that a user can comprehensively evaluate and manage data of the user, thereby effectively ensuring security of the user data.
Abstract:
A topic mining method and apparatus are disclosed. When an iterative process is executed each time, an object message vector is determined from a message vector according to a residual of the message vector, so that a current document-topic matrix and a current term-topic matrix are updated according to only the object message vector, and then calculation is performed, according to the current document-topic matrix and the current term-topic matrix, on only an object element that is in the term-document matrix and that corresponds to the object message vector, thereby avoiding that in each iterative process, calculation needs to be performed on all non-zero elements in the term-document matrix, and avoiding that the current document-topic matrix and the current term-topic matrix are updated according to all message vectors, which greatly reduces an operation amount, increases a speed of topic mining, and increases efficiency of topic mining.
Abstract:
A method and apparatus for presenting spatial-temporal data, which relate to the field of information processing technologies, are presented. When querying data according to a user query request, the apparatus for presenting spatial-temporal data finds various types of data that correspond to a spatial condition and that are included in the data that the user query request requests to query, where the various types of data include regional data and variation data of a preset feature, and presents, in a graph, both the regional data and the variation data of the preset feature. In this way, various types of data are found during data query, so that spatial-temporal data is presented in a centralized way in a specific manner, and spatial-temporal data dynamics may be further presented and hence a user intuitively views an association relationship between spatial data and temporal data, which facilitates further analysis of the data.