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California State University, San Bernardino

Genetic

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Full-Text Articles in Business

A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms, Riyaz Sikora, O'La Hmoud Al-Laymoun Jan 2014

A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms, Riyaz Sikora, O'La Hmoud Al-Laymoun

Journal of International Technology and Information Management

With the massive increase in the data being collected as a result of ubiquitous information gathering devices, and the increased need for doing data mining and analyses, there is a need for scaling up and improving the performance of traditional data mining and learning algorithms. Two related fields of distributed data mining and ensemble learning aim to address this scaling issue. Distributed data mining looks at how data that is distributed can be effectively mined without having to collect the data at one central location. Ensemble learning techniques aim to create a meta-classifier by combining several classifiers created on the …


A Hybrid Machine Learning System For Stock Market Forecasting, Lokesh Kumar, Anvita Pandey, Saakshi Srivastava, Manuj Darbari Jan 2011

A Hybrid Machine Learning System For Stock Market Forecasting, Lokesh Kumar, Anvita Pandey, Saakshi Srivastava, Manuj Darbari

Journal of International Technology and Information Management

A hybrid machine learning system based on Genetic Algorithm (GA) and Time Series Analysis is proposed. In stock market, a technical trading rule is a popular tool for analysts and users to do their research and decide to buy or sell their shares. The key issue for the success of a trading rule is the selection of values for all parameters and their combinations. However, the range of parameters can vary in a large domain, so it is difficult for users to find the best parameter combination. In this paper, we present the Genetic Algorithm (GA) to overcome the problem …