ISSN: 1690-4524 (Online)
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Utilization of Artificial Intelligence by Students in Interdisciplinary Field of Biomedical Engineering Shigehiro Hashimoto (pages: 1-5) Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases Richard S. Segall (pages: 6-15) Beyond Status Quo: Why is Transdisciplinary Communication Instrumental in Innovation? James Lipuma , Cristo Leon (pages: 16-20) How We Can Locate Validatable Foundations of Life Themes Jeremy Horne (pages: 21-32) Bringing Discipline into Transdisciplinary Communications -The ISO 56000 Family of Innovation Standards- Rick Fernandez , William Swart (pages: 33-39) To AI Is Human: How AI Tools with Their Imperfections Enhance Learning Martin Cwiakala (pages: 40-46) Knowledge, Learning and Transdisciplinary Communication in the Evolution of the Contemporary World Rita Micarelli , Giorgio Pizziolo (pages: 47-52) Human Complexity vs. Machine Linearity: Tug-of-War Between Two Realities Coexisting in Precarious Balance Paolo Barile , Clara Bassano , Paolo Piciocchi (pages: 53-62) A Cybernetic Metric Approach to Course Preparation Russell Jay Hendel (pages: 63-70) The Impact of Artificial Intelligence on Education John Jenq (pages: 71-76) Bridging the Gap: Harnessing the Power of Machine Learning and Big Data for Media Research Li-jing Arthur Chang (pages: 77-84) Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use? Richard S. Segall (pages: 85-92) Identification – The Essence of Education Jeremy Horne (pages: 93-99) The Greek-Roman Theatre in the Mediterranean Area Maria Rosaria D’acierno Canonici Cammino (pages: 100-108) Examination of AI and Conventional Teaching Approaches in Cultivating Critical Thinking Skills in High School Students Luis Castillo (pages: 109-112) Thoughts, Labyrinths, and Torii Maurício Vieira Kritz (pages: 113-119) Can Two Human Intelligences (HIs or Noes ) and Two Artificial Intelligences (AIs) Get Involved in Interlinguistic Communication? – A Transdisciplinary Quest Ekaterini Nikolarea (pages: 120-128)
ABSTRACT
Teaching Financial Data Mining using Stocks and Futures Contracts Gary Boetticher
Financial data mining models is considered to be “the hardest way to make easy money.” Data miners are certainly motivated by the prospect of discovering a financial “Holy Grail.” However, designing and implementing a successful model poses many intellectual challenges. These include securing and cleaning data; acquiring a sufficient amount of financial domain knowledge; bounding the complexity of the problem; and properly validating results. Teaching financial data mining is especially difficult due to the student’s limited financial domain knowledge and the relatively short period (one semester) for building financial models. This paper describes an application of a financial data mining term project based on Stock and E-Mini futures contracts and discusses “lessons learned” from assigning similar term projects over six different semesters. Results of each case study results are presented and discussed.
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