[PDF] Top 20 Mining microblogging data to model and forecast stock market behavior
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Mining microblogging data to model and forecast stock market behavior
... about mining microblogging data to model and forecast stock market variables revealed that microblogging data may provide indicators of ... See full document
94
Computational Neural Network for Global Stock Indexes Prediction
... computational data mining methodology was used to predict four major stock market ...Regression and Neural Network Standard Back Propagation (SBP) were tested and ... See full document
5
Data Mining and Neural Network Techniques in Stock Market Prediction : A Methodological Review
... Data mining is a method of extracting unknown projecting information from large databases which is a widespread technology that helps organizations to focus on the most important information in ... See full document
11
DATA MINING IN CUSTOMER RELATIONSHIP MANAGEMENT
... subject to rapidly globalizing, competitive features of products and services are almost identical, and this is a massive market of ...size and complexity of these markets, mass ... See full document
7
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
... contributed to the feature engineering process, particularly sentiment analysis, tokenization, polarity analysis, document-frequency-matrix, and topic ...positive and negative ...able to make ... See full document
85
Mining Big Data to Predicting Future
... present and the past. Another is determining the range and variability of events which followed these similar past events, and a third is deciding whether one understands enough about the underlying ... See full document
8
Application of data mining techniques to a selected business organization with special reference to buying behavior
... designed to model human brain functioning through the use of ...network data mining through the use of decision tree algorithms discerns patterns in the data without being ...According ... See full document
13
An Electronic Market Space Architecture Based On Intelligent Agents And Data Mining Technologies
... authenticity and integ- rity using the message-digest algorithm (MD5) [3] and Encapsulating Security Pay- load (ESP) [1] witch provides confidentiality using the Data Encryption Standard (DES) ... See full document
4
MEASURING THE SENSITIVITY OF TURKISH AND ROMANIAN STOCK MARKETS TO EUROPEAN STOCK MARKETS: A COMPARATIVE ANALYSIS
... “Turkish and Romanian stock markets sensitive to European stock ...markets”. To examine the hypothesis, ISE100 Index (basic indicator of the ISE), BET10 Index (basic indicator of the ... See full document
7
Macroeconomic Determinants of the Stock Market Index and Policy Implications: The Case of a Central European Country
... Due to the omitted variable of real M2 squared, this result is misleading as the scatter diagram of the quadratic relationship shows in Graph ...M2 and real M2 squared is replaced by real M1 and real ... See full document
11
The ERP surge of hybrid models - an exploratory research into five and ten years forecast
... strategies and planning to transition the usage of ERP on-premises to software as a service (SaaS), including hybrid ...COO and CEO) from EMEA region surveyed at the CEBIT 2014 event in ... See full document
7
An Intelligent Association Rule Mining Model for Multidimensional Data Representation and Modeling
... rule mining algorithms to recognize frequent events in form of itemsets were widely-used example of association rule mining is Market Basket Analysis (Agrawal et ...first to address the ... See full document
8
Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques
... geographic data, which requires modeling of spatiotemporal dynamics. The model is visualized in two dimensional grid, which is presented on mn cells or pixels, each cell has a state ...present to the ... See full document
9
MULTI MODEL DATA MINING APPROACH FOR HEART FAILURE PREDICTION
... clinical and pharmaceutical environment are data ...of data such as patient’s narratives, scan reports, clinical, laboratory tests, and hospital administrative data are being produced ... See full document
7
Book-to-Market Ratio, return on equity and Brazilian Stock Returns
... the Stock Exchange. As a comparison, the study of Clubb and Naffi (2007) analyzed, on average, stocks of 500 UK firms each year, from 1991 to ...company to have the same number of observations ... See full document
21
Improving Accuracy and Coverage of Data Mining Systems that are Built from Noisy Datasets: A New Model
... is to find the conclusion (knowledge) from the ...individually to find the ...referred to the main rule which says that there is no perfect technique for all datasets, but each dataset is a case ... See full document
5
A Secure and Privacy Preserving Approach to Medical Data Mining Applications
... order to share information in a way that respects privacy between different ...awareness and legislation around data privacy – especially with medical data – this process gains relevance as a ... See full document
117
Modeling a cooperation environment for flexibility enhancement in smart multi-energy industrial systems
... rise and will have a significant difference from the gas ...going to operate the CHP unit in a way to be able to provide the required heat ...decide to reduce the amount of electricity ... See full document
167
EXECUTIVE COMPENSATION: THE FINANCE PERSPECTIVE
... Some of these executives had such a large part of their compensation indexed to firm stock market price that they made fraudulent account movements and lied to the market [r] ... See full document
30
ARTIFICIAL NEURAL NETWORKS - AN APPLICATION TO STOCK MARKET VOLATILITY
... squares model assumes that the expected value of error terms, when squared, is the same at any given point of ...homoskedasticity, and it is this assumption which is the focus of GARCH models. Data ... See full document
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