How Long to Read Data Mining in Finance

How Long Does it Take to Read Data Mining in Finance?

It takes the average reader 5 hours and 17 minutes to read Data Mining in Finance by Boris Kovalerchuk

Assuming a reading speed of 250 words per minute. Learn more

Description

Data Mining 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 more expressive rules than other symbolic approaches. RDM is thus better suited for financial mining, because it is able to make greater use of underlying domain knowledge. Relational data mining also has a better ability to explain the discovered rules - an ability critical for avoiding spurious patterns which inevitably arise when the number of variables examined is very large. The earlier algorithms for relational data mining, also known as inductive logic programming (ILP), suffer from a relative computational inefficiency and have rather limited tools for processing numerical data. 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. The book also presents interactive and fuzzy-logic tools for `mining' the knowledge from the experts, further reducing the search space. Data Mining in Finance contains a number of practical examples of forecasting S&P 500, exchange rates, stock directions, and rating stocks for portfolio, allowing interested readers to start building their own models. This book is an excellent reference for researchers and professionals in the fields of artificial intelligence, machine learning, data mining, knowledge discovery, and applied mathematics.

How long is Data Mining in Finance?

Data Mining in Finance by Boris Kovalerchuk is 308 pages long, and a total of 79,464 words.

This makes it 104% the length of the average book. It also has 97% more words than the average book.

How Long Does it Take to Read Data Mining in Finance Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 14 minutes to read Data Mining in Finance aloud.

What Reading Level is Data Mining in Finance?

Data Mining in Finance is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Data Mining in Finance?

Data Mining in Finance by Boris Kovalerchuk is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Data Mining in Finance by Boris Kovalerchuk on Amazon click the button below.