This book presents three applications, based on Machine Learning
and Genetic Programming, which are devoted to find useful patterns
to predict future events. The objective is to train the algorithms
by using past data to produce a classifier that identifies the
positive cases and discriminates the false alarms. This work uses
examples for predicting future opportunities in financial stock
markets in cases where the number of profitable opportunities is
scarce. However, when the number of positive examples is small in
comparison with the number of total cases, the identification of
useful patterns becomes a serious challenge. Nevertheless, the
objective of many real world problems, is precisely to identify the
minority class as the fraud detection problem, or medical diagnosis
and many other examples. The techniques of this book are suitable
to deal with imbalanced data sets, provide comprehensible results
that allow users to understand the factors that are involved in the
decision, as well as to generate a range of solutions that let the
user choose the best trade off according to their risk preferences.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
