[PDF] Top 20 A NOVEL BANKRUPTCY PREDICTION MODEL BASED ON SUPPORT VECTOR DATA DESCRIPTION METHOD
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A NOVEL BANKRUPTCY PREDICTION MODEL BASED ON SUPPORT VECTOR DATA DESCRIPTION METHOD
... probability model, logit, probit models, Cumulative Sums, Partial Adjustment Processes, Recursive Partitioning Algorithm, Case-Based ...z-score model using multivariate discriminant ...his ... See full document
15
A COMPARISON OF DATA MINING TECHNIQUES FOR GOING CONCERN PREDICTION
... concern prediction (GCP) has become an important research in finance ...extract novel knowledge from previous observations and appraise corporate ...the prediction model (Lin, Liang, & ... See full document
14
Configuration for Predicting Travel Time Using Wavelet Packets and Support Vector Regression
... Travel-time prediction has gained significance over the years especially in urban areas due to increasing traffic conges- ...travel-time prediction models are discussed, with a small review of the previous ... See full document
12
A Hybrid Ensemble Model for Corporate Bankruptcy Prediction Based on Feature Engineering Method
... corporate bankruptcy prediction, a large number of corporate financial datasets are collected for analysis and prediction, providing support for corporate operation and ...the ... See full document
7
BANKRUPTCY PREDICTION OF FIRMS USING THE DATA MINING METHOD
... network model, data refining and simulation methods were used at ...bankruptcy prediction. Neural function used in this study is perceptron. Based on a computing unit called perceptron, ... See full document
12
Prediction of Zeta Potential of Decomposed Peat via Machine Learning: Comparative Study of Support Vector Machine and Artificial Neural Networks
... possible model for the prediction, which neglected necessary comparisons with different artificial neural networks (ANNs) and other powerful machine learning ...the prediction technique, it is ... See full document
13
Analysis of Support Vector Regression Model for Micrometeorological Data Prediction
... wavelet-SVM model that can obtain more detailed information contained in the time series process and produce better prediction ...coefficients based on SVM on different scales on a time series that ... See full document
12
A novel hybrid model based on Hodrick–Prescott filter and support vector regression algorithm for optimizing stock market price prediction
... Support Vector Regression is one of the most powerful algorithms in machine learn- ...used support vector regression algorithm together with the independent compo- nent analysis (ICA) which is ... See full document
22
The Prediction Model of Financial Crisis Based on the Combination of Principle Component Analysis and Support Vector Machine
... is based on financial indexes three years before the financial crisis ...the method of principle component analysis is used to abstract useful information from the training ...a prediction ... See full document
9
Efficient prediction of total column ozone based on support vector regression algorithms, numerical models and Suomi-satellite data
... a novel prediction method for Total Column Ozone (TCO), based on the combination of Support Vector Regression (SVR) algorithms and different predictive variables coming from ... See full document
10
A new classifier based on the reference point method with application in bankruptcy prediction
... Nowadays, prediction models – whether designed for predicting a continuous variable ...designed prediction model fitted to in-sample data should be able to reproduce or predict the response ... See full document
17
CHARACTER REORGANISATION BASED ON SEGMENTATION METHOD FOR PREDICTION OF HUMAN PERSONALITY USING SUPPORT VECTOR MACHINE.
... Available Online at www.ijpret.com 1161 personality of an individual by his/her handwriting sample using SVM machine learning algorithm. The various parameters are calculated by simple use of trigonometry and ... See full document
11
Study On Prediction Models For Integrated Scheduling In Semiconductor Manufacturing Lines
... GGAP-RBF. Based on batching learning algorithm of SVM, an incremental support vector machine is presented in ...built based on the new arrival data and the trained support ...The ... See full document
16
Calibration of a Six-Port Position Sensor via Support Vector Regression
... via support vector regression (SVR) is ...architecture based on a six-port network, which is used for directly measuring the phase differences and indirectly reflecting the ...size-limited ... See full document
11
LOGISTIC REGRESSION MODEL FOR PREDICTION OF BANKRUPTCY
... In the first step of analysis we computed the p value which is used to identify the significant factors. Then stepwise logistic regression was carried out to identify the factors which are jointly responsible for the ... See full document
15
PREDICTION OF HUMAN PERSONALITY BY HANDWRITING ANALYSIS BASED ON SEGMENTATION METHOD USING SUPPORT VECTOR MACHINE
... 162 o, c, s, e, etc), arcade, garland, angle, thread, wavy line (written by authors who are mentally mature and are skilful), and many others. An automated method is used to predict the personality of an ... See full document
8
Defect Prediction for Object Oriented Software using Support Vector based Fuzzy Classification Model
... In recent past, several classification and prediction models, based on historical defect data sets, have been used for early prediction of error-prone modules.. Considering these facts, [r] ... See full document
9
Estimating the Probability of Bankruptcy Using Z-score and Distance to Default Model: An Application on Istanbul Stock Exchange
... for bankruptcy, creating crucial social ...the bankruptcy more seriously to minimize the economic crisis for corporate ...Default model by data analysis to predict the chances of ... See full document
13
An Approach to Efficient Software Bug Prediction using Regression Analysis and Neural Networks
... Many different approaches such as genetic programming [6], neural networks [7], fuzzy logic [8], decision trees [9], Naı¨ve Bayes [10], and logistic regression [11], Support Vector Machines [12], etc have ... See full document
6
1 Models of forecasting in financial analysis of
... Bankruptcy prediction models based on the logistic regression for companies in 223. the Czech Republic[r] ... See full document
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