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[PDF] Top 20 Data Mining and Neural Network Techniques in Stock Market Prediction : A Methodological Review

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Data Mining and Neural Network Techniques in Stock Market Prediction : A Methodological Review

Data Mining and Neural Network Techniques in Stock Market Prediction : A Methodological Review

... Neural network for Data Mining: In traditional DBMS, Data is stored as a shape of structured ...for and retrieves records that match user’s query criteria. Artificial ... See full document

11

Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review

Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review

... series data is popular and many applica- tions can be found in the literature, for instance, for earthquake forecasting [12], characterization of ozone behavior [13], or flood prediction ... See full document

5

An Artificial Neural Network for Data Forecasting Purposes

An Artificial Neural Network for Data Forecasting Purposes

... Predicting stock price index and its movement has been considered one of the most challenging applications of time series ...efficient market theory proposed in [1], the stock price ... See full document

12

Application of neural network in market segmentation: A review on recent trends

Application of neural network in market segmentation: A review on recent trends

... based neural network to Identify the residential property ...A data mining based on SOM has been developed and applied to a sample of sales records from database for market ... See full document

14

A comparative analysis of classifiers in cancer prediction using multiple data mining techniques

A comparative analysis of classifiers in cancer prediction using multiple data mining techniques

... effectively in past studies, with the most recent performing better for our case, namely the neural network and the support vector ...93.7% in predicting the malign cases, it was chosen ... See full document

13

Applying text mining techniques to forecast the stock market fluctuations of large it companies with twitter data: descriptive and predictive approaches to enhance the research of stock market predictions with textual and semantic data

Applying text mining techniques to forecast the stock market fluctuations of large it companies with twitter data: descriptive and predictive approaches to enhance the research of stock market predictions with textual and semantic data

... aggregated data, namely the confusion of individual and ecological ...the data to the closest denominator if ...the data by performing a daily-based time series ...positive and negative ... See full document

85

Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques

Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques

... presented in the form of spatiotemporal trend of geographic data, which requires modeling of spatiotemporal ...visualized in two dimensional grid, which is presented on mn cells or pixels, each cell ... See full document

9

Using Neural Network for DJIA Stock Selection

Using Neural Network for DJIA Stock Selection

... (Hons) in Information Systems, MSc in Computer Performance Monitoring, and PhD in Modeling Financial Markets using Neural Networks from the National University of Singapore in ... See full document

8

Computational Neural Network for Global Stock Indexes Prediction

Computational Neural Network for Global Stock Indexes Prediction

... that prediction errors for the Shanghai Stock B Index are much higher than all other ...the stock market in China has been growing rapidly and was being speculated in an ... See full document

5

Mining Wellness and Performance Data to Identify At-Risk First-Year Engineering Students

Mining Wellness and Performance Data to Identify At-Risk First-Year Engineering Students

... to prediction concentrated on the engineering faculty and on utilising these new technologies to help identify first-year students at ...newer techniques to predict retention and throughput ... See full document

8

Analysis of Bayes, Neural Network and Tree Classifier of Classification Technique in Data Mining using WEKA

Analysis of Bayes, Neural Network and Tree Classifier of Classification Technique in Data Mining using WEKA

... Classification of data is very typical task in data mining. There are large number of classifiers that are used to classify the data such as bayes, function, rule based and Tree ... See full document

11

Transformer Incipient Fault Prediction Using Combined Artificial Neural Network and Various Particle Swarm Optimisation Techniques.

Transformer Incipient Fault Prediction Using Combined Artificial Neural Network and Various Particle Swarm Optimisation Techniques.

... fault in transformer oil accurately so that the mainte- nance of transformer oil can be performed correctly, reducing the cost of maintenance and minimise the ...fault in power ...curate ... See full document

16

Classifying and Identifying of Threats in E-mails - Using Data Mining Techniques

Classifying and Identifying of Threats in E-mails - Using Data Mining Techniques

... E-mail data is also growing rapidly, creating needs for automated ...of techniques should be applied to discover and identify patterns and make ...predictions. Data mining has ... See full document

5

Bol. Ciênc. Geod.  vol.23 número1

Bol. Ciênc. Geod. vol.23 número1

... necessary in the surveying and mapping industry particularly in developing countries like Ghana where the non-geocentric datum which is still utilized is highly ...Firstly, in this study, ... See full document

21

Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen’s Self-Organizing Map

Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen’s Self-Organizing Map

... U-matrix and finally (d) spatial distribu- tion well screens, colored using the false ...screen and screen 3 the ...out in such a way that units with similar weight vectors have similar colors, using ... See full document

13

PREDIKSI PENDAPATAN SEWA DENGAN DATA MINING PADA PERUSAHAAN XYZ

PREDIKSI PENDAPATAN SEWA DENGAN DATA MINING PADA PERUSAHAAN XYZ

... Pengumpulan data primer dilakukan berdasarkan wawancara langsung dengan pihak manajemen ...pada data beberapa tahun yang lalu untuk membangun model neural ...dari data di tahun-tahun ... See full document

13

DYNAMIC APERIODIC NEURAL NETWORK FOR TIME SERIES PREDICTION

DYNAMIC APERIODIC NEURAL NETWORK FOR TIME SERIES PREDICTION

... We ran through all eight markets' stock index data using out myopic KAII neural network and we got different results from different markets. Most of the predicti[r] ... See full document

16

Educational Data Mining & Students’ Performance Prediction

Educational Data Mining & Students’ Performance Prediction

... Bhardwaj and Pal [4] conducted a significant data mining research using the Naïve Bayes classification method, on a group of BCA students (Bachelor of Computer Applications) in ...examination ... See full document

9

A method based on neural networks for generating solar radiation map

A method based on neural networks for generating solar radiation map

... important in most solar energy applications, particularly in design methods, in system characterization and in decision making for energy ...management. In this paper, a new ... See full document

12

Integrating Data Mining Techniques into Telemedicine Systems

Integrating Data Mining Techniques into Telemedicine Systems

... place in the global healthcare ...accountability and transparency, changes that were made in the education field, the fact that the biomedical research keeps growing in what concerns the ... See full document

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