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Full Description
The book focuses on smart computing for crowdfunding usage, looking at the crowdfunding landscape, e.g., reward-, donation-, equity-, P2P-based and the crowdfunding ecosystem, e.g., regulator, asker, backer, investor, and operator. The increased complexity of fund raising scenario, driven by the broad economic environment as well as the need for using alternative funding sources, has sparked research in smart computing techniques. Covering a wide range of detailed topics, the authors of this book offer an outstanding overview of the current state of the art; providing deep insights into smart computing methods, tools, and their applications in crowdfunding; exploring the importance of smart analysis, prediction, and decision-making within the fintech industry. This book is intended to be an authoritative and valuable resource for professional practitioners and researchers alike, as well as finance engineering, and computer science students who are interested in crowdfunding and other emerging fintech topics.
Contents
PART I - INTRODUCTION. Introduction to Smart Computing - Approximate Reasoning. Introduction to Bricolage. Introduction to Service. Introduction to Financial Service Innovation - Crowdfunding. PART II -CROWDFUNDING REGULATORS. Crowdfunding Regulators - Technology Foresight and Type-2 Fuzzy Inference System. PART III - CROWDFUNDING ASKERS. Crowdfunding Askers - Campaign Prediction and Ensemble Learning. PART IV - CROWDFUNDING BACKERS. Crowdfunding Backers - Sentiment Analysis and Fuzzy Product Ontology. PART V - CROWDFUNDING INVESTORS. Crowdfunding Investors - Credit Scoring and Support Vector Machine. PART VI - CROWDFUNDING OPERATORS. Crowdfunding Operator - Portfolio Selection and Metaheuristics. Crowdfunding Operator - Channel Competition, Strategic Interaction and Game Theory. PART VII - EPILOGUE. Outlook of Crowdfunding.
