engleski

Advanced Portfolio Management in Big Data Environments With Machine Learning and Advanced Analytical Techniques

Chapter will propose novel approach which combine traditional machine learning approach in churn management and customer satisfaction evaluation which unite traditional machine learning approach and expert based approach which leans on event- based management. Core of the proposed framework is hybrid fuzzy expert system which can contain variety data mining predictive models responsible for some specific areas as addition to traditional rule blocks. It can also include social network analysis metrics based on linguistic variables and incorporated within rule blocks. Chapter will introduce permanent monitoring and self-learning approach-based o mentioned approach with workflow how revealed patterns can be applied for continual portfolio management improvement. Proposed solution unite advanced analytical techniques with decision making process within holistic self-learning framework.

Portfolio management, machine learning, big data, analytical techniques

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