[PDF] Top 20 Stock Portfolio Selection using Data Mining Approach
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Stock Portfolio Selection using Data Mining Approach
... Because there are many extracted variables, and it is not clear which of the extracted variables are relevant for the models employed, it is planned to use some selected variables. Therefore, the Random Forest Importance ... See full document
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Data Mining Approaches for Diabetes using Feature selection
... Feature selection is the process of selecting a subset of the terms occurring in the training set and using only this subset as features in text ...Feature selection serves two main ...feature ... See full document
5
Optimization of Portfolio Stock Selection with Meta Goal Programming
... decision-making approach by combining the Analytic Hierarchy Process (AHP) with Goal Programming ...international portfolio equity based on seven international investment barriers consisting of investment ... See full document
7
Stock Portfolio Optimization Using Water Cycle Algorithm (Comparative Approach)
... (ANN) using a hybrid algorithm of Genetic Algorithm (GA) and Particle Swarm Optimization ...India. Using the historical demand data of 25 years from 1991 till 2015 it is found that ANN-GA- PSO models ... See full document
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Portfolio selection: a fuzzy-ANP approach
... portfolio selection. Huang (2006), for example, developed a bi-objective portfolio selection model to maximize in- vestors ’ returns and the likelihood of achieving a specified return ... See full document
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A REVIEW ON DIMENSIONALITY REDUCTION TECHNIQUES IN DATA MINING
... wrapper approach the attribute selection method uses the result of the data mining algorithm to determine how good a given attribute subset ...wrapper approach is that the quality of an ... See full document
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Use of Data Mining Techniques to Improve the Effectiveness of Sales and Marketing
... Data mining techniques like clustering and associations can be used to find meaningful patterns for future ...huge stock data on the basis of these rules can be ...useful approach to ... See full document
7
Financial Stock Market Forecast using Data Mining Techniques
... The approach taken in this paper was to combine six methods of analyzing stocks and use them to automatically generate a prediction of whether or not stock prices will go up or go ...historical data ... See full document
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Stock Market Prediction Using Data Mining
... - Data mining is well founded on the theory that the historic data holds the essential memory for predicting the future ...historic data that have probable predictive capability in their ... See full document
5
Forecasting Chaotic Stock Market Data using Time Series Data Mining
... of data mining, SVM and Neural network, to forecast the direction of stock index price based on economic ...the stock market, more and more “best” forecasting techniques are used by different ... See full document
8
Mining frequent patterns using customer experience
... the approach of Hybrid Clustering Association ...for mining patterns of huge stock data to assume the factors affecting the sale of ...the stock data is divided into three ... See full document
6
Finding kernel function for stock market prediction with support vector regression
... in stock market prediction, KLSE Stock data, time series modeling and stock prediction, data mining operations and techniques and lastly support vector machine and artificial ... See full document
56
Emerging Markets: Evaluating Graham’s Stock Selection Criteria on Portfolio Return in Saudi Arabia Stock Market
... company data is not yet available in the Saudi Arabia stock ...all data regarding the companies’ current assets, current liabilities, long-term debt, and preferred stock were downloaded from ... See full document
7
Survey of Data Mining Approach using IDS
... community. Data Mining is one of the analyses which many IDSs have adopted as an attack recognition ...and data selections was drawn based on the well–known classification schemes, ...analysis ... See full document
5
Feature Selection And Dimensionality Reduction Methods For Chronic Disease Prediction
... Feature Selection for Chronic Disease Prediction The feature selection is a commonly popular pre-processing technique, also called variable selection, used in data mining, which is ... See full document
7
Stock Trend Prediction Using Regression Analysis – A Data Mining Approach
... distinct approach is necessary condition analysis (NCA), which estimates the maximum (rather than average) value of the dependent variable for a given value of the independent variable (ceiling line rather than ... See full document
5
Stock data prediction using predictive data mining techniques
... predict stock prices by applying statistical and charting ...on stock market based on day to day mind set of human ...applying data mining in suitable way hidden patterns can be uncovered ... See full document
7
A Hybrid Approach To Evaluate Stock Returns Using Data Mining Techniques
... Feature Selection is now considered to be the most popular and is widely used in different areas of research for which the datasets is available with thousands of ...feature selection is to improve the ... See full document
6
Construction of a Multicriteria Model for the Assessment of U.S. Stocks
... model using multicriteria decision aid for the assessment of financial ...theoretical approach cannot claim to serve as the sole basis for the practical management of stock ...novel approach ... See full document
19
Online Full Text
... the stock market typically entails holding a portfolio of multiple stocks over a period of ...a stock portfolio from one of the many available professionally-managed mutual ...the ... See full document
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