389 results about "Information mining" patented technology

The present invention combines a data processing structure with a graphical user interface (GUI) to create an information analysis tool wherein multiple functions are combined in a network to extract information from multiple data sources. The functional network is created, and graphically represented to the user, by linking individual operations together. The combination of individual operations is not limited by the input or output characteristic of any single operation. The form of the input to or output from a by individual operation, whether from a database or from another operation, is the same. That is, both the input to and the output from an analysis function is a list of document identifiers and corresponding document characteristics. Because the form of the input and output from each operation is the same, arbitrary combinations into of operations may be created. Moreover, functional networks of individual operations can then be used for database retrieval as well as to filter data streams. Furthermore, the user is able to create a visual representation of the structure forming a functional network which may be dynamically updated as new data is added or functions switched in or out. Because, inter alia, the network structure dynamically responds to information as it is presented to the network, the visual representation of the network conveniently provides the user with information concerning the characteristics of the database or stream of data that are substantially unavailable through conventional search, filtering, or clustering techniques alone.

A data analysis system that includes an information mining engine for extracting structured data from unstructured data, a data store for storing the extracted structured data, data received from third party data sources, and data received from sensors monitoring insured property is described. The system also includes a business logic processor that synergistically analyzes the structured data extracted by the text mining engine, the data received from the sensor, and the data received from the third party data source to make an insurance evaluation.

The invention relates to the field of heterogeneous information retrieval, in particular to an intelligent retrieval and analyzing method based on domain ontology and information mining and a visual analyzing system comprising the method. The system mainly comprises a field data acquisition subsystem, a corpus resource processing subsystem, an information mining subsystem and a visual analyzing subsystem, wherein the field data acquisition subsystem is used for acquiring data by network capturing and local uploading, the field data acquisition subsystem is used for pre-processing field related data, the field data acquisition subsystem is used for analyzing and mining related information in corpus, and the visual analyzing subsystem is used for dynamically displaying and counting and analyzing retrieval results. Concepts in a domain ontology base and mutual relations of the concepts are fully used by the system for heterogeneous information mining and visual analysis, requirements of users can be correctly understood to automatically cluster hierarchical structural information of a certain field so as to support the users to inquire key words, phrases and simple sentences and optimize retrieval results, relevant concepts and extension concepts can be found by ontological reasoning to support graphic display preview of each information meaning in the inquiry results, and the professional-field information retrieval performance can be remarkably improved to realize dynamic information display.

The operator of a excavator sits in a seat that has a one computer monitor on the left side and another computer monitor on the right side. A control system produces first and second sets of information regarding operation of the excavator with the first set of information being particularly relevant to the digging operation. The selection of which computer monitor displays which of the first and second sets of information depends on a direction that the excavator swings between a digging site and a dumping site and that selection changes as the direction changes. This presents the first set of information on the computer monitor that is easily observable by the excavator operator during the digging operation.

A managed service may include first logic to provide authentication information to a device on behalf of a mobile terminal to identify the mobile terminal for a near field transaction with the device, and receive transaction information from the device, where the transaction information is produced by the device on behalf of the mobile terminal. The first logic may further receive user information via the mobile terminal, the user information identifying characteristics of a user of the mobile terminal. The managed service may include second logic to produce a result that comprises information mined from the transaction information or user information, where the result identifies characteristics of the transaction or the user.

The present invention discloses a sudden event emergency information mining method based on social media. The method comprises the steps of (S1) using an open platform API or a web crawler to acquire social media data, the social media data being a document set; (S2) using a MongoDB cluster to store the document set; (S3) preprocessing the document set; (S4) using an LDA to mark the preprocessed document set, and obtaining a known sample; (S5) forming a word characteristic set by all words in each document of the known sample, word frequency of each word characteristic in the document being the weight of the word characteristic in the document; (S6) constructing a short text real-time classification model; (S7) classifying real-time sudden events by using the short text classification model, and predicting themes of the sudden events; and (S8) performing information mining according to the social media data of the classified sudden events. Classification of social media short texts can be automatically and rapidly achieved, and therefore sudden event emergency information is mined.

The invention discloses an ecological monitoring information management and pre-warning system for river-communicating lakes. The system comprises a hydrological module, a water quality and water ecology module, a river beach ecology system module, a species diversity module, a multi-element information mining module and a risk assessment pre-warning and analysis module, wherein the risk assessment pre-warning and analysis module comprises a low-water-level pre-warning module, a species diversity pre-warning module and a eutrophication risk assessment and pre-warning module. According to the system, modern information management functions of data and information electronic storage, data dynamic acquisition and transmission, intelligent query, information display and the like can be realized; the effect of analyzing heterogeneity and diversity of data and ecological characteristics of the data is good; and a monitoring result can be subjected to automatic determination and real-time pre-warning.

The invention relates to a telcom phone phishing-resistant method and a telcom phone phishing-resistant system based on discrimination and identification content analysis. By improving the efficiency and the accuracy rate of the voice and semanteme identification during calling, and using a Chinese semanteme determining technology, the cold call transmitter is determined whether or not to be a phishing call. The method specifically comprises the following steps of: analyzing the voice by large vocabulary provided by the invention and the large vocabulary continuous speech recognition (LVCSR) of nonspecific person during calling between two parts, determining the analyzed key words or key numbers, constructing a strategy engine by an algorithm, analyzing and classifying the semanteme of a calling party at a cloud service side by the algorithm, analyzing key information in the voice, synchronously matching the information of the bank to which the calling person belongs, and determining whether or not the call is the phishing call. Generally speaking, according to the method, the happening of the phone phishing can be effectively avoided particularly, the user safety can be protected through the discrimination and identification identifying and determining mode and the cloud platform information mining and matching mode, and the voice identification and the suspicious call relevance ratio can meet the normal use as well.

The invention discloses a high-resolution remote-sensing multifunctional urban land spatial information generation method. According to the method, a complex system rank theory is introduced; an urban land spatial information classification system with three rank scales, i.e. a multifunctional target landscape type, a functional area type and a land cover type, which self-adapts to urban planningmanagement and environmental renovation, is proposed; and on the basis of realizing the treatment of fine correction and alignment on remote-sensing images of a Landsat TM, a Google Earth and auxiliary maps, the Landsat TM is applied to carrying out urban landscape type classification, a three-level rank classification type-merged combination and an information mining knowledge base are constructed, the classified information is merged to form a first-level classification result of urban land, the digital functional areas are classified into a second level and the land cover is classified into a third level under the constrained control of higher-level classification information. The method has the characteristics of low cost, high accuracy of classification and strong targeted application, and thus, the requirements on target applications, such as ecological urban design, urban environmental management and the like, are better met.

The invention relates to a microblog-oriented emotion entity searching system. The emotion entity searching system comprises a user interface (1), a query expansion module (2), a query processing module (3), an emotive information mining module (4), an emotive information judging and index building module (5) and a reverse index building module (6). The user interface (1) is used for interaction between a user and the system, and the user can submit a query request through the user interface and obtain a feedback result; the query expansion module (2) is used for carrying out word relation mining on microblog corpus data and building a weighting word relation graph in combination with a WordNet ontology base; the query processing module (3) is used for converting the query request of the user into query key words or query statements and for carrying out query expansion on the basis of the word relation graph built by the query expansion module (2), wherein the query key words or the query statements can be accepted by an index base; the emotive information mining module (4) is used for performing emotion mining on the microblog corpus base and generating a judging rule for emotion entities and emotion polarities; the emotive information judging and index building module (5) is used for judging the emotion entities and emotion polarities, building an emotive information index and storing the emotive information index; the reverse index building module (6) is used for building a reverse index for microblog text information and storing the reverse index. The microblog-oriented emotion entity searching system solves the problems that difficulty exists in microblog emotion entity extraction, emotion polarity analysis, emotion entity search and the like, and a novel intelligent searching product is provided for analyzing and monitoring social networking public opinions.

The invention discloses a modularized JAVA application software online updating system. The system comprises a software resource information mining sub-system and a software dynamic updating sub-system, wherein the software resource information mining sub-system comprises a system file monitor, a source code loading analyzer, a system class analyzer, a class dependence relationship generator, a tree or directed graph dependence relationship generator and a module division generator; the software dynamic updating sub-system comprises an interface, a general agent unit, a module agent unit and a management platform; the general agent unit comprises a plant module, a time chop stamp module and a registration center; the module agent unit comprises an object manager, a class loader and a module describer. The system can realize service loading without restarting the service system. The invention also discloses a modularized JAVA application software online updating method. By adopting thesystem and the method, service loading is realized under a condition of not restarting the system.

The invention provides a news recommendation method and device based on an ontology model library. The method comprises the following steps: (1) carrying out preprocessing which includes punctuation, word segmentation, part-of-speech tagging and the like; (2) carrying out news ontology identification: identifying news ontology information in an input news text; (3) carrying out key information mining: combining with the identified news ontology information to mine key information (including keywords, key ontologies and the like) in an input news discourse; (4) carrying out attribute acquisition: on the basis of the information obtained in the previous steps, inquiring a knowledge graphto obtain knowledge point attribute information, carrying out expansion according to the relationship of the mapping knowledge domain, and further mining the attribute information; (5) carrying out dimension generation: on the basis of the information (including the ontology, the keyword, the attribute and the like) obtained in the previous steps, generating a recommendation dimension; and (6) carrying out recommendation knowledge recalling: on the basis of the recommendation dimension, obtaining the recommendation knowledge in a news document library and the knowledge library.

The invention relates to the technical field of internet information processing, in particular to an associated data visualization display method. The method comprises: abstracting associated information of target information into sub-nodes of a corresponding level number, and adding directed edges among the nodes according to pointing relationships among the associated information; and constructing an associative relationship map with the directed edges among the nodes taking the target information as a starting point by using a visualization tool. According to the method, other information associated with the target information can be analyzed from massive associated information data, and an associative mode between an associative path and the nodes is visually displayed by adding the corresponding directed edges among the nodes; and the path is clear, visual and easy to understand, so that the manpower and time costs of users in related data arrangement and analysis are greatly reduced, a reference basis is provided for target information background analysis and mining and related question analysis and tracking, and the method has wide application prospects in the fields of information mining and information processing.

A reservoir imaging technique based on full-frequency-band seismic information mining is an oil seismic exploration data processing and interpreting technique, and utilizes the time-frequency decomposition method-the third type generalized S conversion which can accurately describe the local hierarchical structure of seismic signals. Firstly, an original three-dimensional seismic data volume is mapped into a four-dimensional full-frequency-band time-frequency energy data volume, a time-frequency amplitude data volume and a time-frequency phase data volume which all contain time, space and frequency domain; a vertical seismic profile, a time slice, a horizon slice and a stratum slice are extracted from two data volumes by utilizing the geological horizon information and the drilling and logging information; and meanwhile, on the basis of the above data volumes, a full-frequency-band energy difference slice and a reservoir thickness relative to time detection slice which are based on full-frequency-band information are further generated. The technique provided by the invention not only utilizes the information in a passband during conventional seismic data processing but also explores low-frequency and high-frequency information outside the passband, and is used for directly indicating the oil-gas reservoirs and analyzing imperceptible changes of the thickness, the space distribution and the internal structure of reservoirs, thereby improving not only the utilization ratio of the information in the seismic exploration data but also the reliability of seismic data interpretation.

The invention relates to an intelligent dynamic information push method and an intelligent dynamic information push system. The method comprises that: a background server acquires user on-line reading data record through interaction with a client; and the background server intelligently and dynamically pushes information content related to the user on-line reading data record to the client. The method and the system of the invention overcome the defect that a user operating threshold is high in the prior content customization and push technology of a mobile phone client, improve the realization of push content mechanism establishment, simultaneously dynamically update user reading habit data by mining user reading behavior information, objectively reflect content favor and time period demand when a user reads, and improve timeliness and validity that the user reads and acquires information through the mobile phone client.

The invention relates to the field of image identification, in particular to an image table character identification method. The image table character identification method comprises the following steps: firstly, detecting cells in an image table to be identified, integrally segmenting information contents in each cell, and segmenting character information in each cell by a projection method; and on the basis of image table character segmentation, inputting character blocks obtained by segmentation into a trained neural network, and automatically identifying character information in the image table by the neural network. The image table character identification method has the advantages of being clear in calculation logics and high in segmentation and identification efficiency, solves the problem of image table identification difficulty which is difficult in overcoming in an image character identification field, and has a huge application field in the fields of image character identification, information mining and information analysis.

The invention discloses a holographic touch interactive exhibition system with multisource input and intelligent information optimizing functions. The system senses surrounding environment information by the aid of a plurality of sensors, a smoke sensor is started to monitor fire without audiences, faces in videos are recognized when the audiences are present, proper broadcasting information is recommended, and the identity sense of customers is enhanced. The exhibition system introduces an interactive mode, and the audiences can realize man-machine interaction by the aid of a holographic touch screen to acquire information that the audiences want to know. Besides, by the aid of an intelligent information mining algorithm and features extracted by a color co-occurrence matrix, finding of a facial expression recognition area of interest and feature extraction are combined into one step, the faces are clustered by the aid of an affinity propagation clustering algorithm, and the broadcasting information is changed according to emotion. By the aid of the exhibition system, the information can be effectively pushed according to ages and genders of the audiences in a complicated background environment, sufficient exhibition can be realized, the audiences can be guided to more comprehensively know the information, and the identity sense of the audiences is enhanced.

The invention relates to a method for predicting and visualizing the emotion cognitive ability of a network individual or group and belongs to the field of Internet emotion information mining and analyzing. According to the method for predicting and visualizing the emotion cognitive ability of the network individual or group, common emotion words which are recorded in an existing emotion dictionary are integrated, new network emotion words and expression characters which have the emotional tendency and exist in the network environment are considered, emotional elements on a social media platform are included to the maximum extent, and an emotion word body bank is constructed on the basis; the position of an emotion bifurcation of the network individual is determined, the level of the emotion cognitive ability of the individual is described through an emotion cognitive ability index, and the differences between the emotion bifurcations of multiple network individuals are displayed in a visualized mode. By the adoption of the method for predicting and visualizing the emotion cognitive ability of the network individual or group, the evolution law of the emotion cognitive ability of the network individual or group can be disclosed, particularly, the dynamic emotion changing process and the critical point of sudden emotion changing of typical network individuals or groups can be predicted, relevant managers are assisted in reasonably guiding network consensus, and a harmonious network environment is created.

This invention relates to an information mining system capable of mining data stored in a database in a high efficiency. The information mining system includes an operation history data holding unit for recording both an operation history of the analyzing tool carried out in the past in the analyzing operation, and an operation history of the analyzing tool; and a history comparing unit for judging whether or not the operation history is resembled to the operation history of the analyzing tool, and operated in such a manner that when the history comparing unit judges that the operation history of the analyzing tool is resembled to a portion of the operation history of the analyzing tool, the history comparing unit notifies the partial resemblance of the operation history with respect to the analyzing tool.

The invention belongs to the technical field of computer information processing, and relates to a clause unified modeling-based contract text risk information mining method and system. The method comprises the specific steps of (S1) initializing a contract template database and a contract information database; (S2) obtaining contract initial data; (S3) identifying and extracting to-be-processed contract text data and clauses; and (S4) mining risk information in the to-be-processed contract text data. The system consists of a computer terminal or a mobile terminal, a mobile network or an interconnected network, and a processing end, wherein the computer terminal or the mobile terminal obtains contract text data information and transmits the information to the processing end; and the contract text risk information is mined through a computer program. The method and the system have high environmental adaptability and extremely convenient user operation, support identification and risk analysis of contracts in multiple formats, have a real-time analysis capability, adapt to analysis and mining of different types of contract risk information, and have a universal contract clause template matching analysis capability.

The invention provides an activeness and cluster structure analyzing system based on network topics. The activeness and cluster structure analyzing system based on the network topics comprises a data acquiring and normalizing module, a data storage module, an application analysis module and an user interaction and display module; the user interaction and display module provides an interface for realizing user interaction and displaying data analysis results; the data acquiring and normalizing module is used for receiving an URL (Uniform Resource Locator) specified by a user and acquiring and normalizing the network data by virtue of a network data crawling subunit and a webpage data normalizing subunit; the data storage module is used for storing the normalized webpage data and providing analysis data to the application analysis module; and the application analysis module is used for deeply mining the activeness of the topics and a community structure based on the webpage clustering and hot spot mining, and showing the results to the user through the user interaction and display unit. By adopting the activeness and cluster analyzing system and the activeness and cluster analyzing method based on the network topics, the limitation due to that single detection approach is adopted in the internet public opinion system field, and the webpage content mining cannot be carried out, is solved; and the problems due to cluster structure mining in webpage information analysis and detailed information mining in state evaluation can be solved well.

The invention provides a data-driven network sensitive information mining and early warning platform. The platform comprises a data layer, an application layer and a user layer from bottom to top. Thedata-driven network sensitive information mining and the self-evolution early warning platform refer to an integrated internet search technology and an information intelligent processing technology.Functions of automatic capture, automatic classification and clustering, event discovery and analysis, viewpoint mining, user identity recognition and network relationship discovery, sensitive information monitoring and early warning and the like of Internet mass information are achieved, and an effective analysis basis is provided for government public management departments to comprehensively grasp network public opinions and dispatch public crisis disposal initiative.

The invention discloses a KNN text classifying method for optimizing a training sample set, which belongs to the fields of text mining, natural language processing and the like, and solves the problems of the traditional KNN text classifying method that the efficiency and accuracy are low. The KNN text classifying method is characterized by comprising the following steps: preprocessing text data for training and to-be-classified text data; carrying out the text representation for the preprocessed text data for the training and the to-be-classified text data; carrying out the characteristic extraction for the text data and the to-be-classified text data after the text representation by utilizing a genetic algorithm; carrying out the classification training for the extracted text data characteristics for the training, carrying out the training classification by utilizing a KNN algorithm of the optimized sample set, and configuring a text classifier; utilizing the text classifier to act on the to-be-classified text data after the characteristic extraction to obtain a classification result of the to-be-classified text data. The KNN text classifying method can be better applied to a text information mining system.

The invention provides a label automatic generating method and system, a computer readable storage medium and equipment. The label automatic generating method comprises the steps of establishing an initial label set aiming at a training text with a label and a text with a to-be-generated label; performing mining on the training text with the label and the text with the to-be-generated label; training a label judging model; and according to the label judging model, searching a text label corresponding to the text with the to-be-generated label. According to the invention, the text analysis technology, machine learning and the deep learning algorithm are adopted, and information mining is carried out on the text data to be labeled on the basis of the original label set constructed by the multiple methods; based on the text topic analysis method, the distribution situation of words in the text is combined, so that similarity calculation of the text label theme of the multi-model fusion isrealized, the problems that text data such as internet online content are not labeled, and the labels are few are solved, and the problems that manual labeling lacks a unified standard, and differentusers can mark similar texts as different labels can be solved. Finally, a user can obtain expected information more accurately and more efficiently.

The invention discloses an event information mining and warning method, and belongs to the technical field of information. The method comprises the following steps: step 1, an event information ontology is built, obtained internet information is filtered, and information corresponding to an event is obtained; step 2, classification is conducted to the filtered information basing on the instance name and attribute in the event information ontology; step 3, clustering is conducted to the classified information according to set features, invents contained in each type of information are obtained; step 4, event feature parameter values of information page number, page views, page forward number, information source area number, information source web site number and the like of each event are calculated at fixed period; and step 5, if a difference value between the feature parameter values of a certain event and the mean value of the period time before exceeds a pre-set threshold value, alarming is conducted to the event. The event information mining and warning method ensures accuracy and comprehensiveness of information discovery and alarming of food safety events, and improves the efficiency of alarming of food safety risks.

The invention discloses a method and a system for excavating information of academic journal paper authors. The method comprises the steps: firstly selecting an objective subject field and establishing an OWL (Web Ontology Language) field ontology; secondly extracting author information from an academic journal paper of the objective subject field; thirdly performing the format conversion to the extracted author information, storing the information into an author information bank and calculating out the unique author ID (Identity); finally obtaining an incidence matrix of an author and an academic paper, an academic developing route chart of the author, a cooperator network diagram of the author, an academic cooperation distances among authors, a hot spot research direction map and an academic reputation map of the author by above information. According to the invention, the data source of the author information excavating method is changed; the OWL filed ontology technology is introduced into calculation processes of the academic cooperation distances among authors and the hot spot research direction; and the semantic calculation effect is improved.

The invention discloses a network information push system, which comprises the following parts: a user data storage center which is used for storing user data and communications records and / or operation records of an instant communications tool user; an information storage center which is used for storing to-be-pushed information; an information mining unit which is used for obtaining the attention point of the user according to the user data and communication records and / or operation records obtained from the user data storage center; a modification hinting unit which is used for obtaining the attention point of the user through the information mining unit when the user modifies the user data and for displaying the to-be-pushed information related to the attention point obtained from the information storage center; and a user data preservation unit which is used for preserving contents selected from the obtained to-be-pushed information to the user data. The invention also discloses a corresponding method. The invention increases information pushing channels and reduces disturbance to a plurality of users by pushing the information related to the user attention point to other users related to the user.

The invention discloses a system and method for analyzing user behaviors. The system for analyzing the user behaviors comprises an information collecting module, an information aggregation and storage module, an information mining and statistics module and a system display and output module. The information collecting module is used for collecting user behavior data, the collected data are uploaded to the information aggregation and storage module, the information aggregation and storage module is used for aggregating and storing the uploaded data of a collection plugin, the aggregated data are output to a raw data base, the information mining and statistics module is used for extracting data from the raw data base regularly and conducting data statistics, mining and analysis, the data statistics, mining and analysis processes comprise ranking statistics, user behavior classification, user classification and user aggregation, the analysis result is output to a statistical database, and the system display and output module is used for obtaining data from the statistical database and displaying the user behavior analysis result. By means of the system and method for analyzing the user behaviors, a plurality of user behavior items can be obtained automatically, and group constitute and hobbies of a user can be confirmed according to the user behavior items.

The invention relates to the technical field of intelligent marketing, and provides a service recommendation method, a device, a service end and a storage medium. The method comprises the following steps: obtaining the position information of a user terminal and determining an intended bank outlet according to the position information so as to enable a user to reserve a service to be performed atthe intended bank outlet; Receiving user identity information and to-be-handled service information sent by a first terminal corresponding to an intended bank outlet; A recommendation service association analysis model is used to perform association analysis on user identity information and to-be-handled service information to obtain a recommendation service list including at least one recommendation service item associated with the to-be-handled service information. According to the preset recommendation rule, the target recommendation service item is screened out from the recommendation service list, and the target recommendation service item is pushed to the user terminal. The invention carries out recommendation information mining according to the historical service and customer groupinformation of each user to obtain precise service recommendation information for each user, and improves the success rate of service recommendation.