accuracy rate
Accuracy rate of bankruptcy prediction models for the Dutch professional football industry
... the accuracy and structure of the models change over periods of time and when the setting of the study differs ...the accuracy rate of the bankruptcy prediction models change as well (Grice & ...
68
The Accuracy Rate of Holt-Winters Model with Particle Swarm Optimization in Forecasting Exchange Rates
... with accuracy in determining the direction (rise or fall) of exchange ...exchange rate forecasts from the actual observed data indicate that PSO can also be used to improve forecasting ...
9
Promulgation and detection of air pollution diseases using classification
... of accuracy, exactness, precision, and sensitivity to find the classification ...98.36% accuracy rate in air pollution diseases prediction with low error rate and also detects the various ...
5
An Efficient Machine Learning Method for Facial Expression Recognition
... III. PROCEDURE AND METHODOLOGY The whole simulation is tested in the MATLAB environment MATLAB is a strong computing tool which is having various toolboxes of the current emerging fields. MATLAB is helpful in analyzing ...
8
An Efficient Software Prediction on Cloud infrastructure With Self- Adaptive Classification Model
... During the second phase in SPSC model, the software classification activity is carried out using the PCA. PCA extract the set of software features to classify the set of predicted software’s from the cloud server. The ...
8
Performance Analysis of Big data Classification Techniques on Diabetes Prediction
... Abstract: Big data is extremely huge data sets analyzed computationally to expose patterns, trends, and prediction in order to make simpler the decision making. Predicting diseases became very important, it can be ...
5
Research and Implementation of SVM and Bootstrapping Fusion Algorithm in Emotion Analysis of Stock Review Texts
... the accuracy rate indicates how many of the sentences actually judged to be positive in pervious speculation was positive; the F value indicates the weighted harmonic average of the recall rate and ...
11
Thesis
... an accuracy of 78% with the initial nine strains of identifying those with genes correlated with pathogenicity and still contained no false ...an accuracy rate of 74% with the possibility of 84% ...
13
The Current Status of Performance Demonstration in Taiwan
... including accuracy rates, detection rates and relative sizing errors, are made over examinees’ detection ...overall accuracy rate is about 90%, with stainless steel and carbon steel piping yielding ...
5
Review of Classification algorithms for Brain MRI images
... A hybrid approach for classification of brain tissues in magnetic resonance images (MRI) as normal or abnormal based on genetic algorithm (GA) and support vector machine (SVM) is presented. SVM is based on the structural ...
5
Rough Set Theory Based Entropy Approach For Feature Selection In Adaptive Intrusion Detection System
... Abstract— Intrusion detection systems are used to identify and report intrusions in order to take necessary remedial actions. For any mining and classification problem, pre-processing and feature selection plays an ...
7
INTRUSION DETECTION SYSTEM BASED ON DB SCAN AND SUPPORT VECTOR MACHINEPrateek Rokadiya*1, Saumy Dadhich2, Sandesh Joshi3, Akshita Pamecha4, Payal Dodeja5, Anurag Punde6
... The aim of the project is to design and implement a semi-supervised learning approach for network traffic classification and it has been achieved successfully. A DB SCAN approach to design a Network Traffic Classifiers ...
8
An Empirical Study on the Attrition Sequence of English Interrogative Structures in Chinese Context
... Based on the concept that the items with the lowest accuracy rate are considered to be subject to attrition firstly, and on the ground of the accuracy order of the items in the 4 stages,[r] ...
13
Design of Intelligent English Writing Self-evaluation Auxiliary System
... the accuracy rate, recall rate and F value of the proposed algorithm was better than that of Bayesian classification algorithm under 150 feature extraction dimensions, the two algorithms had improved ...
6
Improving Classifier Performance by Imputing Missing Values using Discretization Method
... The proposed approach uses only the numerical attributes to impute the missing values. In further it can be extended to handle categorical attributes. From the above comparison, the proposed method seems to be better ...
6
Enhancing the performance of migration process using aco algorithm and rsa encryption over cloud environment
... Data transfer from one server to another needs a great ontology process in which data from one server to another gets migrated with a protocol service in which three layers are minimum required. In this work, focus on ...
5
Comparison of Acoustic Respiration Rate, Impedance Pneumography and Capnometry Monitors for Respiration Rate Accuracy and Apnea Detection during GI Endoscopy Anesthesia
... A limitation of our study is the few number of true apneas experienced by our cohort and this may be due in part to only counting apneas of 30 seconds or greater. A larger study with a higher incidence of apneas is ...
6
Secure Compound Keyword Search over Encrypted Data in Cloud using Enhanced Semantic Scheme
... For the approaches basing on ontology paths, all possible taxonomical links (i.e., paths) between concepts are calculated, but only the shortest one is kept. To improve the accuracy, other available taxonomical ...
12
Intrusion Detection: A Survey
... After getting the standardized value the proposed algorithm generatethe desired clusterand further the cluster is chosento label as normal or intrusions. Then based on parameters detection rates, accuracy and ...
5
Improved Rate Control Algorithm Based on R Model in High Efficiency Video Coding
... and video content integration service providers. At present, transmission bandwidth and storage space are still the most critical resources in video applications. How to obtain the best video experience in the limited ...
9