vector based data systems
A COMPARISON OF DATA MINING TECHNIQUES FOR GOING CONCERN PREDICTION
... and data mining ...years, data mining, a novel field of intelligent data analysis established and developed and began to appear and grow promptly in the background of abundant data and poor ...
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Energy Efficient Vector OFDM PLC Systems with Dynamic Peak Based Threshold Estimation
... application data sizes between a smart meter and a data concentrator (DC) in the low voltage ...optimal data size at which the PLC network maximises delivery of packets from smart meters to the ...on ...
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Experimental design for vector output systems
... new data become available to inform mathematical modeling ...framework based on the Fisher Information Matrix (FIM) for a system of ordinary differential equations (ODEs) to determine when an experimenter ...
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A NOVEL BANKRUPTCY PREDICTION MODEL BASED ON SUPPORT VECTOR DATA DESCRIPTION METHOD
... models based on multinorm analysis: An alternative to accounting ratios," Knowledge mmadi, ...models based on feature selection technique: empirical case from Iran," Procedia ng: selected studies ...
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A Data Authentication Method Based on Vector Projection for Industrial Edge Computing System
... of data in the industrial edge computing system due to the intensive computation in- volved in traditional complex cryptographic authentication schemes ...edge data centers ...layer based on channel ...
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Fuzzy Modeling using Vector Quantization based on Input and Output Learning Data
... inference systems) have been made [1], ...inference systems from learning ...are based on steepest descend method(SDM), the obvious drawbacks of them are its large time complexity and getting stuck ...
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A Data Imputation Method with Support Vector Machines for Activity-Based Transportation Models
... ing data treatment, such as neural networks, fuzzy logic systems, and rough sets, which stimulate the missing data research to a new ...support vector machine (SVM) is proposed to predict the ...
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Predicate based Algorithm for Malicious Web Page Detection using Genetic Fuzzy Systems and Support Vector Machine
... State change approach which is also known as rule-based approach monitors change of state against unauthorized creation of executable files or register entries in the client system[33].To detect drive by-download ...
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Signal Detection for QPSK Based Cognitive Radio Systems using Support Vector Machines
... In order to utilize a licensed spectrum in an oppor- tunistic way, first spectrum sensing is applied to detect the potential unused spectrum. Spectrum sensing improves the spectrum efficiency and reduces the interference ...
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Parallel based support vector regression for empirical modeling of nonlinear chemical process systems
... for data outside the original training range (Castillo 2003; Himmelblau 2008; Kordon 2004; Lennox et ...identification data used to develop the model (Castillo 2003; Kordon ...
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Data-Rate Driven Transmission Strategies for Deep Learning Based Communication Systems
... communication systems, there is a huge demand for data rate due to an increasing number of communication devices and equipment types, and improved quality of services ...high data-rate schemes should ...
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Data based priors for vector autoregressions with drifting coefficients
... larger systems with more information to perform well, when considering nonlinearities in the form of time- varying coefficients and stochastic volatility there is no evidence that larger VAR models are better than ...
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Vector Based Web Visualization of Geospatial Big Data
... Mapbox Vector Tiles which provides an efficient way to store vector ...tags. Based on Google Protobuf all features are serialized into a binary ...resulting data using ...
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The Application of Collaborative Business Intelligence Technology in the Hospital SPD Logistics Management Model
... various data from enterprises into information or knowledge displayed in a cooperative manner that enterprise managers interested ...the data warehouse and data ...of data mart bus and ...
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Online Full Text
... database systems. Such limitations implied the impossibility of developing, in a pure database context, certain facilities for reasoning, problem solving, and question answering. From an artificial intelligence ...
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A classifier ensemble based on fusion of support vector machines for classifying hyperspectral data
... (AVIRIS) data by Melgani and Bruzzone ...sensing data regardless of the adopted multiclass ...(LIDAR) data are successfully combined using SVM ...
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Privacy – Preserving Detection Of Sensitive Data Using Vector Based Fuzzy Fingerprint
... enhances data privacy during data-leak detection ...is based on a fast and practical two-way computation on the sensitive data (SSN records, classified documents, sensitive emails, ...policy ...
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The use of long-term features for GMM- and i-vector-based speaker diarization systems
... Factor analysis techniques which are the state of the art in speaker recognition have recently been successfully ap- plied in speaker diarization experiments [11–17]. In these works, the speech clusters are first ...
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Integration of Auxiliary Data Knowledge in Prototype Based Vector Quantization and Classification Models
... of data points which are misclassified by the model and acc the number of correct classified data ...on data with unknown labels (application ...test data set, ...
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Electrodynamics—Two Versions and One Problem
... Poynting vector we have to assure that the divergence of S has the correct unit (W/m 3 in the ...Poynting’s vector and this seems to be a weak point of ...the vector potential related to the magnetic ...
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