Data Mining. Concepts & Techniques by J.Han

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Data Mining. Concepts & Techniques by J.Han

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Forex Trading – Foreign Exchange Course

You want to learn about Forex?

Foreign exchange, or forex, is the conversion of one country’s currency into another.
In a free economy, a country’s currency is valued according to the laws of supply and demand.
In other words, a currency’s value can be pegged to another country’s currency, such as the U.S. dollar, or even to a basket of currencies.
A country’s currency value may also be set by the country’s government.
However, most countries float their currencies freely against those of other countries, which keeps them in constant fluctuation.

The principles and methods for processing obtained data or information, which will be employed in diverse applications, are provided in Data Mining: Concepts and Techniques. It describes data mining in particular and the methods used to extract knowledge from the gathered data. The title of this book is “Knowledge Discovery from Data” (KDD). It focuses on the viability, applicability, efficacy, and scalability of methods for handling massive data collections.
This version discusses the processes for knowing, preprocessing, processing, and warehousing data after defining data mining. Then, data warehouses, online analytical processing (OLAP), and data cube technologies are covered. The procedures for mining common patterns, connections, and correlations for huge data sets are then explained. The book explores data classification techniques and provides data clustering ideas and techniques. The subsequent chapters go on data mining trends, applications, and research frontiers as well as outlier detection.
Students studying computer science, application developers, business professionals, and researchers interested in data mining should read this book.

* Provides several techniques and implementation examples suited for use in large-scale, practical data mining projects, all presented in pseudo-code. * Deals with complex subjects such mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in many industries. *Offers a thorough, useful look at the theories and methods required to maximize the value of your data.

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