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in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn ... Data Mining
in Finance introduces a new approach, combining relational data mining with the analysis of statistical significance of discovered rules. This reduces the search space and speeds up the algorithms. buy Data Mining in Finance Keywords: Data mining,
finance, accounting, auditing 1. INTRODUCTION Data Mining (DM) is a well honored field of Computer Science. It emerged in late 80’s by using concepts and methods from the fields of Artificial Intelligence, Pattern Recognition, Database Systems and Statistics, DM aims to discover
Dage i Rom The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Explore hundreds of free data sets on financial services, including banking, lending, retirement, investments, and insurance. Start using these data sets to build new financial products and services, such as apps that help financial consumers and new models to help make loans to small businesses.
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in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn ... Data mining is a process used by companies to turn raw data into useful information by using software to look for patterns in large batches of data.
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IN FINANCE Specifics of data mining in finance are coming from the need to: forecast multidimensional time series with high level of noise; accommodate specific efficiency criteria (e.g., the maximum of trading ... < DATA MINING …
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