14 results about "Drill down" patented technology

This invention discloses a hierarchical public data visualization retrieval system and method based on crowdsourcing analysis and data standardization. The system includes: a crowdsourcing analysis platform for receiving and reviewing feature indicators extracted from public data by expert users; a data standardization module for performing unified exchange rate conversion and reporting period standardization on financial data to ensure data comparability; an indicator calculation module for calculating individual development indicators according to specific formulas; an index generation module for generating individual development indices, regional development indices, and global development indices based on benchmark values, and generating macro-trend charts; a multi-level index database for storing multi-level data and external links; an interactive response module for responding to chart click events and drilling down to obtain detailed data; a data display module for generating the next level of charts; and a context-aware navigation module for automatically navigating to preset external information sources based on user-selected function tags and entity clicks in the charts. This invention lowers the barrier to data utilization through crowdsourcing, ensures the comparability of global data through standardization, and achieves seamless and efficient retrieval and navigation from macro trends to micro information.

1. Name of the product in this design: Graphical User Interface for Credit Customer Fund Flow in Electronic Equipment. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: Used to display a graphical user interface. 6. Graphical user interface for human-computer interaction: used by bank loan management managers to monitor the flow of funds of credit customers within the bank and their upstream and downstream relationships. The product interface mainly consists of tables, bar charts, and line charts. Users can view the comparison of inflow and outflow of funds for credit customers, the comparison of inflow and outflow customers, the ranking of inflow and outflow business types, and credit customer alerts on the same page. On the one hand, you can enter the year and month, customer number, customer name, and account manager to click and query to obtain relevant information about the credit customer. On the other hand, you can also click on the details of payment changes, customer ranking details, business type ranking, and alarm data to drill down to detailed data.

The invention relates to the technical field of pile foundation construction, and discloses a mixing pile extension rod type drill rod construction data intelligent processing system which comprises a data acquisition module, a macroscopic construction working condition recognition module, a microscopic geological state sensing module and a multi-mode dynamic coupling control module. The macroscopic construction working condition identification module determines macroscopic working conditions such as drilling, rod connecting or stirring lifting modes of construction in real time according to drill rod depth data, slurry pump starting and stopping states and the like. And when the stirring lifting mode is determined, the microscopic geological state sensing module is activated, and the microscopic geological state is determined as an overload trend, a load loss trend or a steady state interval and the like according to comparison between the power head current data and a preset target interval. Through layered sensing and dynamic coupling control, self-adaptive closed-loop adjustment of the construction process is achieved so as to deal with geological uncertainty, and the uniformity of the finally formed pile body in the aspect of physical performance can be improved.

1. The name of the design product: graphical user interface of tax data drilling view of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface in the electronic device. 4. The picture or photo that best shows the design points: design 1 interface change state diagram 4. 5. The electronic device of design 1-design 2 is the usual design, and other views of design 1-design 2 are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the product interface of design 1-design 2 is the interface for tax data drilling view display and interaction; the interface is used to present the drilling data of the report interface data, help users view the data source; the main view interface of design 1 is the interactive interface of the report data page; in the main view interface of design 1, after clicking the cell (for example: 77,182,174.08), the data details are displayed above, showing design 1 interface change state diagram 1; in design 1 interface change state diagram 1 interface, after clicking the right "traceability" icon, the traceability data panel pops up, showing design 1 interface change state diagram 2; in design 1 interface change state diagram 2 interface, after hovering over the data card, the detailed business information of the data is presented, showing design 1 interface change state diagram 3; in design 1 interface change state diagram 3 interface, after clicking the data, the lower layer data appears, showing design 1 interface change state diagram 4; in design 1 interface change state diagram 4 interface, clicking the right switch of the data to view detailed data, showing design 1 interface change state diagram 5; the main view interface of design 2 is the interactive interface of the report data page; in the main view interface of design 2, after clicking the cell (for example: 77,182,174.08), the data details are displayed above, showing design 2 interface change state diagram 1; in design 2 interface change state diagram 1 interface, after clicking the right "traceability" icon, the traceability data panel pops up, showing design 2 interface change state diagram 2; in design 2 interface change state diagram 2 interface, after hovering over the data card, the detailed business information of the data is presented, showing design 2 interface change state diagram 3; in design 2 interface change state diagram 3 interface, after clicking the "data details" switch, design 2 interface change state diagram 4 is displayed; in design 2 interface change state diagram 4 interface, after clicking the upper right corner "detailed display", all data cards are displayed, showing design 2 interface change state diagram 5.

A system and method are provided for feature engineering. The method may include obtaining data from a plurality of data sources. The method may also include generating, based on the data, features for training machine learning models using a single data pipeline that uses a feature generation logic that is separate from an execution logic. The method may also include generating, based on relations and / or joins in the feature generation logic, metadata for explaining the features, and generating, based on the metadata, lineage information representing a mapping of one or more features to intermediate tables and / or input tables. The method may also include displaying the lineage information representing the mapping, including allowing a user to select and / or drill down different features, intermediate tables and / or input tables. The method may also include storing the features and the metadata for the features to a feature store.

The embodiment of the invention discloses a drill-down analysis method, device and equipment based on a user movement line. The scheme comprises the following steps: for a current service, analyzing a service log of a service execution user, and extracting to obtain a corresponding first user behavior chain; performing service semantic association on the first user behavior chain and the current service through a plurality of preset service dimensions to obtain a second user behavior chain; aiming at the second user behavior chain, extracting a corresponding key parameter, extracting a corresponding business loss logic feature according to the key parameter, and determining a target user with business loss in the business execution users according to the business loss logic feature; and performing drill-down analysis based on the first user behavior chain corresponding to the target user, and extracting to obtain a corresponding path feature.

A computer system and method for financial management and estate planning. The system provides data aggregation for both financial and non-financial assets to create a “virtual vault” from which the owner can view all information about his / her portfolio. In some embodiments, the system provides a tree visualization of the portfolio, which allows a structured organization that provides both a high level view and the ability to drill down to an in-depth analysis. In some cases, the system provides segmented permissions in which restricted access could be granted based on module and / or asset in the tree visualization.

A system queries for entity data of a user from a first data source. The system displays a display panel in a user interface (UI), the display panel including measurement metrics for an account entity of the user from the entity data of the first data source. The system determines mode chaining information that specifies a chain of entity relationships between a number of entities in the entity data, where the relationships include one-to-one or one-to-many relationships. The system determines forecast information corresponding to the measurement metrics for the entities of the user. The system displays the forecast information as entity-based forecast values in the UI based on the mode chaining information, where the entity-based forecast values include a drill down of forecast values for the entities of the user.

This application relates to the field of port equipment energy consumption analysis technology, and discloses a method and system for analyzing the daily total energy consumption of all equipment in a port. The method includes: acquiring raw energy consumption data streams uploaded by heterogeneous equipment across the port; performing protocol parsing and time alignment on the data to generate standardized energy consumption time-series data; using the time-series data to drive a predefined port equipment energy consumption state machine, automatically dividing the data into operating, idle, and standby state sequences according to preset power characteristic rules for different equipment types; labeling the operating states with specific operational logic tags based on port operation plans and operation logs; constructing an energy flow model with a three-layer mapping of equipment, state, and energy consumption based on the labeled sequences; and finally aggregating and generating a daily total energy consumption data product that can be drilled down and traced by natural day. This invention solves the problems of heterogeneous, unclear, and disconnected port equipment energy consumption data from production operations, and achieves refined and traceable energy consumption analysis.

The application relates to a knowledge base docking method, device, equipment and medium. The method comprises the following steps: constructing a knowledge base comprising multiple industries, wherein the multiple industries comprise a beauty industry and a mobile phone industry; detecting a current application scene, wherein the application scene comprises a search box application scene, a word cloud application scene, a content analysis application scene, an algorithm recommendation application scene and a chart drilling application scene; and docking the knowledge base by using a docking strategy matched with the application scene. The application solves the problem that a user cannot drill down for analysis while quickly and accurately obtaining a query result by docking the knowledge base with a strategy matched with a demand scene under different demand scenes.

The application discloses a kind of based on permission semantic analysis and dynamic desensitization backtracking dialog business question method and system.The method receives user multi-round business question sentence;User identity, post, organizational level, authorized data domain, field sensitive level and displayable granularity are parsed into permission semantic vector, and are aligned with question semantic graph to form permission envelope;Based on question semantic graph, generate candidate logic query, and construct segment backtracking key for answer fragment, including field source, aggregation function, filter condition hash value, permission version, desensitization rule version, minimum display granularity and session inheritance mark;When follow-up question, error correction, drill down or permission changes, compare segment backtracking key and calculate permission residual change, drive segment safety state machine to execute effective, pending recalculation, frozen, degraded or refuse to display.The method can improve the security, traceability and interaction continuity of business question result.

The invention discloses a report drill-down intention preloading method and system based on a dynamic attenuation branch probability matrix, and relates to an interactive report and data processing technology, and the method comprises the steps: configuring a global branch probability matrix M, keys of which comprise a source node ID and a target node ID, values of which comprise a branch probability P, and maintaining a branch access record list for each query node; executing dynamic calculation and updating of the branch probability matrix M according to operation of a user or a timed task; and when a user accesses or stays at a query node Q, querying a branch probability vector corresponding to the node Q from the branch probability matrix M, and selecting a preloading target from the probability distribution according to a preset strategy. According to the method, a mode of controllable calculation overhead is provided, the drill-down transition probability between any two query nodes in the report system is continuously and accurately quantified, and the optimal preloading target is intelligently decided by utilizing the dynamic probability distribution before the user actually triggers the operation.