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155 results about "Uncertain data" patented technology
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In computer science, uncertain data is data that contains noise that makes it deviate from the correct, intended or original values. In the age of big data, uncertainty or data veracity is one of the defining characteristics of data. Data is constantly growing in volume, variety, velocity and uncertainty (1/veracity). Uncertain data is found in abundance today on the web, in sensor networks, within enterprises both in their structured and unstructured sources. For example, there may be uncertainty regarding the address of a customer in an enterprise dataset, or the temperature readings captured by a sensor due to aging of the sensor. In 2012 IBM called out managing uncertain data at scale in its global technology outlook report that presents a comprehensive analysis looking three to ten years into the future seeking to identify significant, disruptive technologies that will change the world. In order to make confident business decisions based on real-world data, analyses must necessarily account for many different kinds of uncertainty present in very large amounts of data. Analyses based on uncertain data will have an effect on the quality of subsequent decisions, so the degree and types of inaccuracies in this uncertain data cannot be ignored.
Storage system, storage control device, and storage control method
ActiveUS20070002482A1Improve reliabilityAvoid it happening againError detection/correctionRecord information storageComputer hardwareData transmission
In a storage system, a disk device performs recovery and transfers read data to a control device, and the control device judges the validity of the recovery to prevent a transfer of erroneous data. A control device read-accesses a disk device, and the disk device returns read data and a recovered read error response. A control device, at the time of an initial recovered read error, performs a retry of a similar command, and if an error does not occur for read commands including the retry read command, judges the data to be valid. Uncertain data (suspect data) upon occurrence of a recovered read error is restored through disk retry, and accurate read data can be transferred to the host.
Owner:FUJITSU LTD
Data cleaning system and method for aiming at big data
ActiveCN104317801ARealize uncertain sampling functionSolve the problem of not being able to adapt to large-scale data operationsSpecial data processing applicationsDistributed File SystemData preparation
The invention discloses a data cleaning system and method for aiming at big data. A system application layer comprises a data analysis and extraction module, a similar joins module, a similar subgraph gathering module, an entity sampling module and a probability and entity query module, a storage layer stores a structural data record, a similar data record pair and a similar communication subgraph generated in a data cleaning process by utilizing a distributed storage tool HDFS (Hadoop Distributed File System) provided by Hadoop, and the cleaned structural data record is stored by utilizing a distributed storage tool HBase provided by the Hadoop. The method comprises the following steps: obtaining data to be cleaned, carrying out similar joins, enabling the similar subgrpahs to be gathered, sampling an entity, and carrying out probability calculation and entry query. The invention is a data cleaning system for aiming at the big data and an uncertain data certainty method, solves a problem that traditional centralized similar joins can not adapt to large-scale data operation, fully utilizes graphs and relevant knowledge to creatively finish big data cleaning, and provides a data preparation for the analysis of mass data.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Pulmonary nodule image classification method when uncertain data is contained in data set
ActiveCN110223281AImprove feature extractionImprove generalizationImage enhancementImage analysisPulmonary noduleData set
The invention relates to the technical field of computer vision, and provides a pulmonary nodule image classification method when uncertain data is contained in a data set. The method comprises the following steps: firstly, collecting a pulmonary nodule CT image set, determining the category of the image through a majority voting principle by utilizing an expert voting method, and preprocessing toobtain a pulmonary nodule CT image data set; then, based on a knowledge distillation method, constructing a pulmonary nodule image classification model comprising a teacher model and a student model;next, obtaining a determined tag data set, training a teacher model on the determined tag data set, and calculating a soft tag on the pulmonary nodule CT image data set; then, training a student model on the data set combining the hard label and the soft label; and finally, inputting the preprocessed CT image to be classified into the trained lung nodule image classification model to obtain the category of the lung nodule image classification model. According to the method, the uncertain label data in the data set can be effectively utilized, the accuracy and efficiency of pulmonary nodule diagnosis are improved, and the usability and robustness are high.
Owner:沈阳铭然科技有限公司
Integrated circuit random access memory capable of automatic internal refresh of memory array
InactiveUS6871261B1Less spaceAvoid delayTransistorMemory adressing/allocation/relocationStatic random-access memoryRandom access memory
A dynamic random access memory integrated circuit and method includes internal refresh control and an array configured to receive read and write access requests having priority over pending refresh requests, wherein refresh requests are queueable and retired on clock cycles not requiring an access of the array and complete in one clock cycle. No onboard cache memory is required. A method includes: determining within the circuit when one of the banks of the array requires a refresh, prioritizing read and write access requests over pending refresh requests, read access requests initiating an access to the array without determining whether data is available from outside the array, and retiring within a clock cycle one pending refresh request to a bank when that bank has pending refresh requests and does not also require an access of the array on that clock cycle.
Owner:INNOMEMORY LLC +1
Network security situation fuzzy evaluation method based on uncertain data
The invention provides a fuzzy evaluation method used for evaluating a network security situation value of a hierarchical model, and the method comprises the steps that: an evaluation factor set and a judgment set used for evaluating network security situation indexes of a top-level node of the hierarchical model are determined; a membership function is established, and the probability that attribute data of each child node in the evaluation factor set belong to different judgment ranks in the judgment set is determined according to the membership function; a fuzzy evaluation matrix is established on the basis of the determined probability that each child node belongs to different judgment ranks; the importance weight of each child node over the top-level node of the hierarchical model isdetermined; and the network security situation indexes of the top-level node is calculated according to the established fuzzy evaluation matrix and the determined importance weight of each child nodeover the top-level node of the hierarchical model, and thereby the network security situation value of the hierarchical model is finally calculated. The fuzzy evaluation method has the advantages that the security situation of a network is evaluated through introducing fuzzy mathematics and a fuzzy analytical hierarchy process (FAHP) into the fuzzy evaluation method, and thereby the problem of data uncertainty during the evaluation of the network security situation is well solved.
Owner:NAT UNIV OF DEFENSE TECH
Systems and methods for providing sensor fusion
ActiveUS7539537B2Increase monitoring specificityReducing false positive alarmElectrocardiographyMedical devicesMedicineMonitoring system
The present invention comprises a system that incorporates the natural relationships of patient parameters into a medical monitoring system in order to increase monitoring specificity by reducing false positive alarms resulting from spurious data and inconclusive data. The invention also comprises a system that incorporates the natural relationships of patient parameters in order to use the data obtained from those parameters to non-invasively monitor a patient parameter that typically precludes direct monitoring.
Owner:SCOTT LAB
Aero-engine service life prediction method based on label-free, unbalanced and initial value uncertain data
PendingCN109766583AEasy to handleDynamic setting of failure thresholdNeural architecturesSpecial data processing applicationsAviationData set
The invention discloses an aero-engine service life prediction method based on label-free, unbalanced and initial value uncertain data, which comprises the following steps of firstly, carrying out feature screening on an engine training data set by utilizing a correlation index and a trend index; then, obtaining a health state label through quantum fuzzy clustering, training a multivariable deep forest classifier, and obtaining an aero-engine health assessment model; meanwhile, training a long-short cycle memory neural network (LSTM) time sequence prediction model by utilizing the engine training data set; and finally, obtaining the maintenance time and the final residual service life (RUL) of the engine at different health stages by using the engine test data set according to the trainedhealth assessment model and the time sequence prediction model. According to the method, the defects of no label, imbalance and initial value uncertainty of observation data are overcome, and a technical reference is provided for maintenance decisions of the aero-engine in different subsequent health stages.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Routing Methods For Multiple Geographical Entities
InactiveUS20110040750A1Answered efficientlyDigital data processing detailsForecastingTheoretical computer scienceData science
Routing method for computing routes over uncertain geo-spatial data whereby only upon visiting the geographic entities it can be determined whether the needed service or product is actually provided and is adequate. When dealing with uncertain data, the returned route may need to go via several entities of the same type. Another routing method consists of finding an efficient and effective route from a starting point to an ending point going trough a predetermined number of objects, wherein each object represents a geographical entity of a unique type, and each object is selected from a distinct set of similar objects.
Owner:UNIV OF TORONTO INNOVATIONS FOUND THE +2
Probability frequent item set excavating method based on MapReduce
ActiveCN103995882AComputationally efficientReduce computational complexitySpecial data processing applicationsData setDistributed File System
The invention discloses a probability frequent item set excavating method based on MapReduce. The excavating method includes the following steps that (1), an uncertain data set T1 is read in; (2), all transactions in the uncertain data set T1 are sequentially processed at the Map end, and each item in one transactions and the probability value of the item are mapped into a key value pair (key, value); (3), output of the Map end is received at the Reduce end, and a probability frequent one-item set is generated by using a normal approximation method; (4), a list F-list is generated for the probability frequent one-item set output in the step (3); (5), the uncertain data set T1 stored in a distributed file system HDFS is read in and processed according to the list F-list to generate an uncertain data set T2; (6), a UApriori method based on the MapReduce is operated to continuously process the uncertain data set T2 obtained in the step (5) to generate a candidate item set, and then a probability frequent item set is generated from the candidate item set through the normal approximation method until all probability frequent item sets are generated.
Owner:NANJING UNIV
Method and program for creating determinate backup data in a database backup system
The invention provides an application technique of a backup data in which a backup data can be utilized by creating a backup data including no indeterminate data in a backup system. In a backup system including a primary system and a backup system, the method of creating the backup data includes: a data update record rerun step for rerunning a data update record to a backup data; and a backup data creation step for starting a read to a backup data B, stopping a read to a backup data A, copying the backup data to the backup data A, starting the read to the backup data A, stopping the read to the backup data B, and copying the backup data A to the backup data B.
Owner:HITACHI LTD
Method and system for providing identification tags in a memory system having indeterminate data response times
InactiveUS20070286199A1Easy to determineData switching by path configurationMemory systemsData packControl store
A method and system for providing identification tags in a memory system having indeterminate data response times. An exemplary embodiment includes a memory controller in a memory system. The memory controller includes a mechanism for receiving data packets via an upstream channel, the data packets including upstream identification tags. The memory controller also includes a mechanism having instructions for facilitating determining if a received data packet is in response to a request from the memory controller. Input to the determining includes an upstream identification tag included in the received data packet. If the received data packet is determined to be in response to a request from the memory controller, then the received data packet is matched to the request, thereby allowing the memory controller to operate with indeterminate data response times.
Owner:INT BUSINESS MASCH CORP
Method and Apparatus for Aggregation in Uncertain Data
ActiveUS20090222472A1Quality improvementDigital data processing detailsSpecial data processing applicationsData processing systemData dredging
Techniques are disclosed for aggregation in uncertain data in data processing systems. For example, a method of aggregation in an application that involves an uncertain data set includes the following steps. The uncertain data set along with uncertainty information is obtained. One or more clusters of data points are constructed from the data set. Aggregate statistics of the one or more clusters and uncertainty information are stored. The data set may be data from a data stream. It is realized that the use of even modest uncertainty information during an application such as a data mining process is sufficient to greatly improve the quality of the underlying results.
Owner:IBM CORP
Systems and methods for providing sensor fusion
InactiveUS20090203974A1Strong specificityReducing false positive alarmsElectrocardiographyEvaluation of blood vesselsMedicineMonitoring system
The present invention comprises a system that incorporates the natural relationships of patient parameters into a medical monitoring system in order to increase monitoring specificity by reducing false positive alarms resulting from spurious data and inconclusive data. The invention also comprises a system that incorporates the natural relationships of patient parameters in order to use the data obtained from those parameters to non-invasively monitor a patient parameter that typically precludes direct monitoring.
Owner:SCOTT LAB
Data set tagging method and related apparatus
InactiveCN108062394AImprove the efficiency of training and testingImprove efficiencySpecial data processing applicationsData setOriginal data
The invention discloses a data set tagging method. The method comprises the steps of selecting untagged data from original data according to a preset rule to obtain a candidate data set; performing uncertainty analysis on the candidate data set, and performing to-be-tagged data screening according to an analysis result, thereby obtaining a to-be-tagged data set; and performing tagging processing on the to-be-tagged data set according to received tagging information, thereby obtaining a tagged data set. The data set is subjected to data screening according to the uncertainty to obtain an uncertain data set suitable for model processing; the data set is tagged, so that the model training and testing efficiency can be improved, a better effect can be achieved by less data, and the overall efficiency of supervised learning is improved. The invention furthermore discloses a data set tagging apparatus, a server and a computer readable storage medium, which have the abovementioned beneficialeffects.
Owner:北京中关村科金技术有限公司
Modeling method of accelerated degradation information fusion based on uncertain data envelopment analysis
ActiveCN108664700AReduce cognitive uncertainty problemsImprove reliabilityDesign optimisation/simulationSpecial data processing applicationsModel methodSmall sample
The invention discloses a modeling method of accelerated degradation information fusion based on uncertain data envelopment analysis. The method comprises the following steps of: 1, collecting all available degradation data obtained by the product ADT and perform data preprocessing; 2, performing accelerated degradation modeling to obtain a confident reliability distribution of a single data source; 3, evaluating the ADT data source and determine the evaluation index; 4, performing uncertain DEA modeling to determine the relative efficiency of each ADT data source; 5, assessing and predictingthe life and reliability of the product. Through the above steps, the multi-source ADT data can be fused to conduct comprehensive reliability evaluation of products, which can reduce the cognitive uncertainty and improve the reliability and life evaluation accuracy of products. In the field of current ADT reliability evaluation, the lack of overall product information recognition caused by small samples and the inadequate use of multi-source ADT data sources are solved.
Owner:BEIHANG UNIV
E-commerce platform individual recommendation method based on weighted frequent item set mining algorithm
InactiveCN108346085AImprove digging efficiencyBuying/selling/leasing transactionsSpecial data processing applicationsPersonalizationData set
The invention discloses an e-commerce platform individual recommendation method based on a weighted frequent item set mining algorithm. The method, for the browse behaviors of an e-commerce platform user, assigns different probability values to different items according to behaviors of click browsing, collecting, adding to shopping cart and purchasing so as to reflect the user's preference for different items, and in combination with the income of different items (ie, commodities), mines the weighted frequent item set in an e-commerce platform user browse data set to achieve effective individual recommendation. The invention provides a weight decision downward closure feature and a weighted frequent subset existence characteristic for the e-commerce platform user browse data set weighted frequent item set mining, and provides a uncertain data frequent item set mining algorithm based on weight decision downward closure feature according to the above two characteristics, and takes account of the user's preference for different items and the benefits that the items bring to a merchant, and improves the mining efficiency.
Owner:NANJING UNIV OF POSTS & TELECOMM
Uncertain data model oriented utility item set mining method
InactiveCN105608182AReduce consumptionReduce running timeSpecial data processing applicationsResource consumptionItem set mining
The invention relates to an uncertain data model oriented utility item set mining method. The method comprises the steps of S1, verifying transaction weighting utility and expected support degree of each item set and forming a total candidate set by taking item sets passing the verification as candidate sets; and S2, verifying the utility of each item set in the total candidate set through an uncertain data model to obtain an uncertainty based high-utility item set, wherein the transaction weighting utility is equal to the sum of transaction utilities of all transactions containing the item sets in the uncertain data model, the item sets forming the total candidate set include a k-item set verified through the step S1, k is 1-n, n is an item number of the transaction with the most items in the uncertain data model, and when k is greater than 1, the k-item set is obtained by using a k-1-item set in the total candidate set as a subset and performing verification through the step S1. According to the method, an optimization method is added in an existing mining method, so that the technical effects of reducing resource consumption and shortening running time are achieved.
Owner:YILAN YUNLIAN TECH CO LTD
Maximal pattern mining method for uncertain data based on depth-first
The invention relates to a maximal pattern mining method for uncertain data based on depth-first. The maximal pattern mining method comprises three major technical parts of uncertain data processing, frequent item set judgment and the maximal pattern mining method. The uncertain data processing refers to converting an uncertain data horizontal format of which the main key is an affair ID into an uncertain data vertical format of which the main key is an item ID by virtue of data vertical format conversion. The frequent item set judgment refers to the process of calculating whether the support degree of an item set is greater than or equal to a given support degree threshold and whether the confidence degree of the item set is greater than or equal to a given confidence degree threshold. The maximal pattern mining method is the process of mining the maximal frequent item set, and in the mining process, the converted vertical-format data is taken as the input, and all the uncertain data maximal pattern frequent item sets are mined out according to the given support degree and confidence degree thresholds. The maximal pattern mining method for the uncertain data based on depth-first is capable of effectively obtaining the value information in the uncertain data, and also has high mining efficiency.
Owner:WUXI SIKURUI TECH INFORMATION
Vector quantization based long-term intuitionistic fuzzy time series prediction method
InactiveCN103413038APredictableAccurate acquisitionSpecial data processing applicationsAlgorithmEuclidean vector
The invention discloses a vector quantization based long-term intuitionistic fuzzy time series prediction method. The method includes the steps of A, intuitionistic fuzzification preprocessing of serial data and B, vector quantization based long-term intuitionistic fuzzy time series prediction. A long-term intuitionistic fuzzy time series prediction model built by the method expands single output of the serial data into multiple outputs, a predicated value is converted from a scalar into a vector, and accordingly long-term predication performance of a time series system is improved to a great extent. A sliding window mechanism is introduced into the method, fuzzy change characteristics of the serial data are acquired accurately and rapidly; a discourse domain internal is divided dynamically by the aid of an IFCM (intuitionistic fuzzy C-means) algorithm to be more close to the actual uncertain data distribution; by the aid of vector quantization based long-term time range prediction, the problems of zero matching of intuitionistic fuzzy rules and system error accumulation can be well solved; through example verification and result analysis, the model has good predication performance.
Owner:雷英杰 +1
Method and device for determining physical cellular identification
ActiveCN103327505ASolve the problem of unreasonable selectionNetwork planningTelecommunicationsTraffic load
The invention discloses a method and device for determining a physical cellular identification. According to the method, total bidirectional telephone traffic of a cell, load reference signal receiving power (RSRP) of the cell in a measurement report and load RSRP, which is received by the cell, of adjacent cells are loaded to no-load RSRP of the cell and no-load RSRP, which is received by the cell, of all the adjacent cells in a weighting mode to obtain the RSRP of the cell and all interference RSRP of the cell, wherein the RSRP of the cell and the interference RSRP of the cell are weighted and reflect the actual load and network operation conditions of the cell. PCI selection is conducted under the situation that the RSRP of the cell and the interference RSRP of the cell meet predetermined adjustment conditions according to judgment after the RSRP of the cell and the interference RSRP of the cell are weighted. By means of the method and device for determining the physical cellular identification, the network no-load conditions, the actual traffic load conditions of the cell and the actual network operation conditions can be combined for PCI planning and selection, and the problem that the PCI selection is unreasonable due to the fact that PCI planning is conducted according to uncertain data in the prior art can be solved.
Owner:CHINA MOBILE GROUP DESIGN INST
Internet-of-vehicles big data cross-domain analysis fusion method
ActiveCN110533112AStable supportImprove the level of intelligenceCharacter and pattern recognitionStreaming dataWeb service
The invention relates to an Internet-of-vehicles big data cross-domain analysis fusion method, which is mainly characterized in that an Internet-of-vehicles cloud data mining architecture is established, and the Internet-of-vehicles cloud data mining architecture comprises a distributed data access engine, a parallel mining engine, proxy nodes and a Web server cluster; performing data mining by adopting an Internet-of-vehicles data mining algorithm; and realizing a parallel function of the shared memory by adopting a shared memory parallel computing technology. According to the method, a clouddata mining architecture which is composed of a distributed data access engine, a parallel mining engine, a Web server cluster and agent nodes and can support parallel computing is adopted, so that the supporting capability for mass data is improved; through a data preprocessing technology, an uncertain data preprocessing technology and an Internet-of-vehicles industry data processing and fusiontechnology, support of Internet-of-vehicles specific data such as streaming data is optimized; based on novel data mining algorithms such as mining, analysis, clustering technology, behavior recognition and anomaly detection of the Internet-of-vehicles streaming data, the intelligent level of the system is improved.
Owner:天津神舟通用数据技术有限公司
Method and system for detecting uncertain data stream-oriented complex events in manufacture internet of things
ActiveCN106294824AImprove detection efficiencySave spaceData processing applicationsTransmissionData streamTimestamp
The invention discloses a method and system for detecting uncertain data stream-oriented complex events in manufacture internet of things; the method comprises: reading a target atomic event with probability value; during NFA (nondeterministic finite automaton) state transition, if a corresponding matching tree is present, using a present matching tree as a left node and the target atomic event as a right node to generate a matching tree using post-transition NFA state as a root; if a corresponding matching tree is not present, using NFA initial state as a left leaf node and the target atomic event as a right leaf node to generate a matching tree with post-transition NFA state as a root; if it is detected that a root node of the matching tree is NFA termination state and timestamp size of the matching tree is in sliding window time, giving priority to deep traversal of the right leaf node of the matching tree with the NFA termination state as a root node, and outputting complex events in a reverse sequence; uncertain data stream complex events are detected by using NFA in conjunction with the matching tree, and event detection efficiency is improved.
Owner:GUANGDONG UNIV OF TECH
Uncertain data provenance query processing method based on D-S evidence theory
InactiveCN102651028AAccurate Uncertainty Inference ResultsIncrease elasticitySpecial data processing applicationsCombining rulesBasic probability
The invention relates to an uncertain data provenance query processing method based on D-S evidence theory. The method comprises the following steps of: taking selection, projection and connection query operation related to an uncertain data table as a representative, acquiring elementary probability assignment of each input data item to a result data item from a provenance expression which describes SPJ query operation; based on an evidence combining rule in the D-S evidence theory, calculating the combined influence of the uncertainty of a plurality of input data items on the uncertainty of each result data item, and acquiring the probability assignment of each result data item; and performing standardization according to the probability assignment of each result data item, and calculating the belief value and the likelihood value of each result data item, so that the uncertainty of the result data item is determined, and if the uncertainty of the result data item accords with the result obtained on the basis of an input uncertain data-based probable world example, demonstration and evaluation can be performed on the basis of the pair of provenance query results.
Owner:YUNNAN UNIV
Approximate treatment system and method for uncertain data PT-TopK query
ActiveCN103593435AReduce energy consumptionIncrease credibilityTransmissionEnergy efficient computingNetworked systemData management
The invention discloses an approximate treatment system and method for uncertain data PT-TopK query, and the approximate treatment system and method are orientated to water environmental monitoring networks. According to the method, uncertain data query and processing orientated to water environmental monitoring network systems can be achieved by setting an uncertain tuple model of an x-tuple rule tuple, adopting pruning and query processing method of two stage data in clusters and between the clusters and reducing data communication cost under the condition that accuracy of final query results is not influenced. According to the method, the data transmission amount and network energy consumption can be reduced, the creditability of data query results can be improved, and development and deployment cost of data management in the water environmental monitoring network systems can be reduced.
Owner:HOHAI UNIV +2
Outlier detection method based on uncertain data set
The invention discloses an outlier detection method based on an uncertain data set and belongs to the technical field of outlier data mining. The method comprises a step 1 of computing the k distance and the k distance neighborhood of each data point in the uncertain data set; a step 2 of computing a probability that a data point q becomes a neighbor of a data point o in the k distance neighborhood; a step 3 of computing the reachable distance of each data point; a step 4 of computing the reachable density of each data point; and a step 5 of computing the outlier factor of each data point in order to determine outlier data. The method may effectively find out outlier data concealed in the uncertain data set.
Owner:HOHAI UNIV
Method for analyzing fluctuation of photovoltaic output
InactiveCN106558878AAccurately reflect the characteristicsHelp guide scheduling operationsSingle network parallel feeding arrangementsPhotovoltaic energy generationEstimation methodsElectric power system
The invention relates to a method for analyzing the fluctuation of photovoltaic output, which comprises: collecting the historical photovoltaic output data of a photovoltaic power station; inputting a single-day weather type; obtaining a likelihood function of the fluctuation value probability distribution under the weather type; estimating a three-component mixed Gaussian probability distribution parameter based on an EM maximum likelihood Estimation method and generating a fitting probability distribution curve; and confirming the validity of the distribution fitting. Through the fitting method, the method analyzes the PV output fluctuation characteristics of different weather types and different cloud states, obtains the uncertain data in different weathers, and helps to guide the scheduling operation of a power system, thereby enhancing the photovoltaic power generation acceptance capacity and operational safety and stability of the power system.
Owner:CHINA ELECTRIC POWER RES INST +2
Method for clustering uncertain data
InactiveCN105260748AReduce uncertaintyImprove scalabilityCharacter and pattern recognitionStructure extractionData acquisition
A method for clustering uncertain data belongs to the field of data acquiring and processing technology. The invention aims to provide the method for clustering the uncertain data, wherein the method has functions of utilizing an essential latent association of the data, searching a true covariance structure in bottom data recording under an uncertain surface, extracting main characteristics of the data and performing noise reduction clustering. The method comprises the following steps of 1, acquiring the true covariance structure of the bottom data, and 2, according to the covariance structure, performing sharpening noise-reduction processing. The method of the invention can greatly reduce uncertainty of the data from bottom, and furthermore the sharpened noise-reduced data which are obtained through processing can be applied in other fields of fusion, classification, etc. The method has high extendibility.
Owner:JILIN UNIV
Generalized notion of similarities between uncertain time series
InactiveCN102985917ACharacter and pattern recognitionComplex mathematical operationsAlgorithmTime series
A method for finding a distance between a plurality of time series, wherein each individual time series in the plurality of time series includes data, wherein the data is uncertain data, the method comprising: selecting at least two time series from a plurality of time series; computing a first difference value between the two series at a given instant of time; mapping the first difference value with a table of values; computing a second difference value using the table of values, wherein the second distance value is a measure of similarity between the time series.
Owner:IBM CORP
Clinical test item data processing method and device and electronic device
InactiveCN107767960AResolve missing data that existsSolve the problem of uneven distributionMedical simulationHealth-index calculationDisease riskMissing data
The invention provides a clinical test item data processing method and device and an electronic device, relates to the medical technical field, is to solve the problem of low accuracy of risk prediction in the prior art and provides a comprehensive set of techniques and concepts to discover the relationship among diseases, clinical test and genes. The data processing method comprises the followingsteps: obtaining original data of clinical test items; based on a prediction model based on support vector regression, supplementing missing data in the original data, and obtaining transform data ofthe clinical test items; and based on the transform data, generating correlation data of the clinical test items according to correlation between the different clinical test items. The method can solve three problems, that is, missing data, unbalanced distribution and uncertain data annotation in EHR data, realizes disease risk prediction through an association network between the clinical test items, and improves disease risk prediction accuracy.
Owner:温州悦康信息技术有限公司
Data storage method of uncertain data
ActiveCN104750860AImprove usabilityImprove acceleration performanceSpecial data processing applicationsData storeUncertain data
The invention discloses a data storage method of an uncertain data. The data storage method comprises the following steps: when the uncertain data is recorded and stored, establishing a record-level uncertain element group according to uncertain condition of every record, and classifying all uncertain data included in the record according to the property name, and respectively establishing the property unit of the property name according to the property name; forming a property unit set, establishing a property including unit according to the property name of every property unit in the property unit set, and establishing a line unit for every record; integrating all recorded record-level uncertain element groups, the property unit set, the property including unit and the line unit to be a logical model of the uncertain data, and storing the uncertain data logical model and corresponding data; as for the uncertain data logic model, taking the property name as the index item and establishing a property index tree; establishing and generating a rule matrix according to the generation rule of the uncertain data records; in querying, the uncertain data logic model is applied to query according to the condition property of a querying sentence.
Owner:NORTHEASTERN UNIV
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