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This webinar provides an introduction into the necessary data mining methods and demonstrates how data mining can be employed in various tasks in the financial sector by banks, investment funds, hedge funds, insurance companies, and other financial institutions and companies in the finance sector as well as sophisticated private investors and traders.
Financial data often comes in the form of time series, e.g. stock market prices, commodity prices, utility prices, or currency exchange rates observed over time. The analysis of financial time series is often based on indicators derived from such uni- or multi-variate time series and on linear or non-linear combinations of such indicators.
Data mining techniques can be used to analyse financial time series data, to find patterns, to detect anomalies and outliers, to recognize situations of chance and risk, to detect temporal changes in the correlation patterns and structures, to predict future demand, prices, and rates, to determine the most successful indicators, to optimally combine such indicators to achieve strong predictive power. Hence data mining can support analysts, investors, and traders in their decisions when trading stocks, options, commodities, utilities, or currencies.
Topics of this webinar are
- Introduction to the basic data mining methods for data cleaning and finding reliable indicators and key factors
- Definition of prediction / forecasting of series data
- Statistical Learning: Regression Methods, Neural Networks,
Support Vector Machines (SVM)
- Preprocessing for series data: from series to data points
- Forecasting with regression methods
- Validation of forecasting: introduction into performance criteria,
cross validation, bootstrapping, back testing
- Predicting future demand, prices, and sales;
quantitative stock market predictions, forecasting of foreign
currency exchange rates or commodity prices
- Since the number of participants is limited, we recommend an early registration.
- The webinar is laid out for 90 minutes.
- The webinar will be held in English language.
- The instructors are professional data analysts with years of practical data mining experience with RapidMiner.
- The login details for the webinar will be send three working days before the webinar date. A registration is possible until 4 hours in advance at the latest.
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