279 results about "Multi dimensional analysis" patented technology

A method is provided for qualifying and analyzing business intelligence. At a first part of a data management system receives first, second and third streams of data. The first stream is client provided source data, the second is public source data and the third is data management system internal data previously collected and managed source data in the data management system. The three streams of data are organized into items and their attributes at the data management system. The source data is transformed at a data warehouse where it becomes normalized. Logic is applied to provide multi-dimensional analysis of transformed source data relative to a scale for at least one business intelligence. The data warehouse includes updated data from the multi-dimensional analysis. A user interface communicates with the data management system to create statistical information that illustrates impact over time and value.

The invention discloses a method and a system for making multi-dimensional analysis to message class service data. The steps of the invention comprise a data collection step and a data integration step; a data conversion and loading module is responsible for converting the data in a middle database into a relational database with star framework characteristic, settles various data to be analyzed of message class service, classifies the data with common or similar characteristics and brings the data into a unified dimension hierachy; the data in the middle database is further cleaned and converted to be processed into another multi-dimensional database; and a data analysis and presentation step is included. The corresponding system comprises a data collection module which is independently arranged, the data conversion and loading module and a data analysis and presentation module. With the invention, the multi-dimensional data model can be shared in similar value-added service system, the development cycle and cost of the system can be reduced. To apply the function of multi-dimensional data analysis possessed by the system established by the model can provide operators and equipment manufacturers with more flexible and convenient data statistic method and decision support.

The invention belongs to the technical field of industrial big data application, and particularly relates to an industrial big data multidimensional analysis and visualization method based on a JSON document structure. The method comprises the following steps: by taking JSON as a basic carrier of data, constructing an industrial data mart in parallel by utilizing Spark and ElasticSearch through configuring a relational database and a file system data source and defining data conversion and data cleaning operations; configuring an overall process of data analysis in a graphical mode to construct an analysis data set of a multi-dimensional structure, and repeated association operation on massive data being avoided; and for a specific data analysis scene, customizing each dimension calculation index of the data analysis report in a visual dragging mode based on a pre-constructed multi-dimensional analysis data set, and generating an interactive graphic analysis report. According to the method, the JSON document format is used as a carrier of basic data, and the advantages of the JSON document format in storage and analysis are utilized, so that multi-dimensional analysis structure modeling and user-defined interactive analysis are more convenient and efficient.

The invention provides an OLAP multi-dimensional analysis and data mining system. The system comprises a data model, a distributed OLAP engine, an OLAP analysis engine, a multi-dimensional report analysis interface, a data mining interface and a data visualization tool; the data model is dragged by a user through a visual interface to finish data modeling, and has unified model configuration; thesystem automatically performs model adaptation and enables the data model to be called by cooperation with internal other engines or tools; the distributed OLAP engine provides a multi-dimensional data model preprocessing capability for the OLAP system; the OLAP analysis engine supports a multi-dimensional query analysis engine of a big data platform and a relational database, and analyzes an MDXstatement to obtain a standard SQL; the multi-dimensional report analysis interface and the data mining interface have multi-dimensional data analysis and data mining functions and provide a report analysis method and a data mining algorithm model; and the data visualization tool provides a visual service for report analysis and data mining in the multi-dimensional report analysis interface and the data mining interface, and provides visual result social sharing and chart management functions.

The invention relates to a big data-based social insurance index warehouse building system and method and belongs to the technical field of big data application. The invention aims to build an accurate and regularly-updated multi-dimensional statistical index base based on the organization of cubic structure storage by using the big data processing technology and distributed storage technology. The building system consists of a data source module, a business data collection module, a data pretreatment module, an index calculating module, an index metadata storage module, a data storage module and a data query module. The building method is based on the building system. The system and the method uses social insurance business data as the data source and builds an accurate and regularly and incrementally-updated index data warehouse by using the big data processing technology and distributed storage technology, and allows rapid index multi-dimensional analysis and query.

The invention relates to the technical field of data analysis, and in particular relates to a data analysis self-help data fetching method and system based on indexes. The data analysis self-help data fetching method comprises the following steps: firstly, defining a business index, needing to be used for analyzing and inquiring, through a standard index defining method, and generating index result data; forming a basic data source of self-help data fetching by an index data result; providing various types of defined indexes and dimension information capable of being used for analyzing the indexes on a user data fetching interface; after freely selecting and configuring the needed indexes and inquiring dimension by a user, constructing a data inquiring sentence by the system through an SQL (Structured Query Language) configuration device according to an index and dimension selecting condition of the user; operating and generating a final data result and displaying to the user. The data analysis self-help data fetching method and system based on the indexes have the beneficial effects that free combination of data content and a displaying structure is realized, and a more convenient and flexible data multi-dimensional analysis means is provided for data analysis of the user.

A system and method employing photokinetic techniques in cell biology imaging applications are disclosed. Systems and methods of acquiring image data of an object may comprise: selectively inducing photoactivation of material at a site on the object; performing an optical axis integration scan; simultaneously executing a time delay integration scan sequence; and processing acquired image data in accordance with one or more desired analyses. Various methodologies and applications may include, inter alia, selective photobleaching of a site on the object, diffusion rate, velocity, and wave-front propagation analyses, multi-dimensional analyses of dispersion characteristics, biomolecular binding in cellular organelles, and photoactivation assisted systematic image segmentation for the study of cellular components.

The invention discloses an early-warning prediction method for water environment safety, which comprises the following steps: performing space-time multi-dimensional analysis on monitoring information acquired from a water environment; establishing a hazard rating threshold early-warning index according to the data acquired by the model analysis to form water environment safety early-warning rating and warning-situation comprehensive assessment data; and establishing a water environment safety early-warning basic database and gradient and abrupt early-warning prediction system models of the water environment safety, and establishing a data adapter between the water environment safety early-warning basic database and the early-warning prediction system models so as to visually express the prediction results of the models and implement full-process monitoring for the early-warning evolution of the water environment safety. Aiming at the complexity of the water environment and the multi-source isomerism of the water environment monitoring information, the method establishes an effective environment monitoring multi-source isomeric data fusion technology framework and a method to form an early-warning prediction system of the water environment safety so as to provide important theoretical direction for water environment management, and the method has broad application prospect.

The invention discloses a multi-dimensional analysis method for multi-level storage data. The multi-dimensional analysis method comprises the following steps: step 1, building a unified data model; step 2, building a multi-dimensional analysis model; step 3, performing multi-dimensional analytic calculation and demonstration: a calculation engine automatically generates an aggregate calculating sentence, corresponding to a next-level calculation node, of the multi-dimensional analysis model according to routing information, a calculation agent executes aggregation operation to generate a pre-aggregation result and uploads the pre-aggregation result onto a main-control server, and then secondary aggregation calculation is executed to generate a multi-dimensional calculation result set; the calculation engine forms a dimension member inquiry algorithm according to the multi-dimensional analysis model and the unified data model, inquires a dimension member, generates cell objects of a demonstration report and fills the multi-dimensional analysis result into the cell objects to realize multi-dimensional demonstration of the multi-dimensional analysis result. The multi-dimensional analysis method can realize real-time multi-dimensional analysis of hierarchical storage data without centralizing data in advance.

The present invention belongs to the field of computer and information safety technology. The information safety auditing method including adopting Syslog standard protocol and mode matching method based on regular expression in collecting journal information; using the data storehouse to separate the comprehensive analysis processing environment and operation processing environment; adopting multi-dimensional information safety model to correlate the analysis dimensions of several auditing analysis themes and to form multi-dimensional stellar system; performing on-line in-situ multi-dimensional analysis by the multi-dimensional model and data excavation and correlation to find out safety hole and problem; and creating auditing analysis report based on the analysis result. The method of the present invention has expandability, opening and raised auditing efficiency.

The invention belongs to the technical field of network security, and discloses a network event monitoring analysis method and system, an information data processing terminal. A data acquisition layeris used for realizing acquisition of mirror image data traffic and deep packet detection. A data sharing layer is used for carrying out multi-dimensional analysis on the mirror image data traffic processed by the data acquisition layer and providing a data source for an external output interface; and the business display layer is used for realizing a security event view, a network view, a terminal view, an early warning view, a disposal event view and a work order view. According to the invention, illegal assets, behaviors, policies and threats in the network and attacks and threats outside the network can be effectively discovered and early warned in time; various response modes are provided to help enterprises to discover security threats and risks in advance, timely inform enterprise managers or security equipment to complete blocking of the threats and spreading of the risks, ensure asset and information security and control security events within a minimum range.

The invention provides a multi-dimensional analysis method and device for mass data. The multi-dimensional analysis method and device are used for solving the problems that multi-dimensional analysis can not be efficiently conducted on mass data stored on a mass data source Hadoop platform through existing online multi-dimensional data analysis OLAP in real time. The method includes the steps of analyzing and processing a multi-dimensional analysis query request issued by a user to obtain an analysis result, wherein the analysis result includes cube multi-dimensional mode information corresponding to the multi-dimensional analysis query request and a structured query language (SQL); obtaining a data source matched with the cube multi-dimensional mode information, and establishing the connection relationship with the data source, wherein the data source comprises the Hadoop platform and/or a relationship database; obtaining the data query result from the Hadoop platform or the relationship database according to the connection relationship and the SQL; converting the data query result into a multi-dimensional result according to the cube multi-dimensional model information, and returning the multi-dimensional result to the user. By means of the multi-dimensional analysis method and device, the aim of efficiently conducting multi-dimensional analysis on mass data stored on the Hadoop platform in real time is achieved.

The invention discloses a data processing showing method based on on-line analytical processing (OLAP) multi-dimensional analysis. Aiming at data which cannot be accumulated or polymerized, classification statistics is conducted on the data in different dimension combination modes through a configuration table mode to obtain index data under different dimension combinations finally and achieve multi-dimensional analysis application of the data on a data showing platform in an OLPA mode. By means of the method, the index data which cannot be accumulated or polymerized can be analyzed in an OLPA operation mode during OLPA showing, the technical shortcoming that multi-dimensional analysis of the data of the kind cannot be achieved through an OLPA analyzing tool commercially used in the industry is overcome, special processing of the data is disclosed to data analyzers, correct statistic values of the data of the kind under different dimensions are accurately showed, and the data analyzers can analyze and use business data conveniently.

The invention provides a method for detecting teacher sub-health states based on a classification and regression tree. The traditional sub-health assessment for college teachers lacks timeliness, objectivity and efficiency. In the big data environment, the machine learning technology can be used for establishing a sub-health assessment model more effectively, so as to support prediction and early-warning of the sub-health states of the college teachers. The method for detecting teacher sub-health states based on the classification and regression tree comprises the steps of: firstly, performingmulti-dimensional analysis and conceptual modeling on college teacher sub-health influencing factors; secondly, performing analysis and data pre-processing on features of sample data; on this basis,utilizing a classification and regression tree algorithm for giving out a detailed process of modeling a sub-health decision-making model, and analyzing assessment indexes; and finally, utilizing a Spark distributed computing framework to give out parallel implementation of model construction. The method provided by the invention is more efficient and objective, can immediately reflect the sub-health states of the teachers, and supports the prediction and early-warning of the sub-health states of the college teachers.

A system, method, and article for diagnosing a test set of biological cells. For example, in one embodiment a normal set of cells is characterized using flow cytometry. A centroid and radius are defined for a set of clusters in an n-dimensional space corresponding to a normal maturation for a cell lineage in the normal set of cells. A test set of cells is characterized using flow cytometry and the characterization is compared to the set of clusters.

The invention discloses a big data tax-related information analysis system. The system comprises the following modules: a data acquisition module which performs incremental acquisition on data in the internet by adopting a crawler acquisition mode, a data cleaning module which performs data cleaning in ways of unrelated field cleaning, price and discount price filtering, time stamping and currency automatic conversion, a data analysis module which performs multi-dimensional analysis on tax-related information data through online analysis processing and data mining technologies, a data storage module which dispersedly stores the data in a plurality of independent devices by adopting a distributed storage policy and an extendable system structure, and a data output module used for outputting the data required by a user according to a specific rule. According to the big data tax-related information analysis system, a large amount of tax-related information data is provided for taxation collection and management in real time, and a tax-related information law is found and future tax avoidance and tax evasion trends are predicted by utilizing trend indexes.

A computer implemented system and method automates analysis and mining of concepts from unstructured data. At least one concept within at least one object is analyzed. Analysis involves: selecting an object for inclusion in an initial set of objects to be analyzed; using an algorithm to extract a concept from the initial set of objects to create an initial set of concepts; refining the concept based upon relationships to other concepts; and performing multi-dimensional analysis on the concept in the initial set of objects to analyze the concept.

The invention discloses a multi-dimensional assessment and precise construction investment evaluation method based on coverage and value relevance and relates to the technical field of big data analysis in data communication. The method disclosed by the invention performs multi-dimensional analysis on an MR poor coverage ratio, a quantity of MR sampling points, user flow, number of users, user perception data and/or user set information, field road test data, complaint information and suppression flow big data, so that indoor values are excavated, precise planning is performed, site building value is effective improved, service turn-around time is shortened, a network awareness word-of-mouth image of an operator is improved, and finally enterprise benefit is improved.