MIS 111 Lecture Notes - Lecture 13: Sharepoint, Decision Tree Learning, Explicit Knowledge

• School: University of Arizona
• Department: Management Info Systems Main
• Course: MIS 111
• Professor: Mark Patton, William Neumann

Document Summary

Identify a similar with a known effective solution and apply the approach to this problem (association rules) Non-linear predictive model that is defined using training and observed behaviors. Finds data with characteristics that are similar to a new record. Based on if/then rules statistical significance and probability. Pioneered by dr. jay f. nunamaker: dr. nunamaker is a regents professor and founding chair of the ua mis. Electronic meeting software used to support collaborative group processes. Groups are often effective aids in decision making: for a given task, no one person has, experience. Organizational: lack of focus, wrong people, premature closure. Behavioral: hidden agendas, free riding, domination, fear of speaking, misunderstandings. Sets the new standard for: brainstorming. Clarify vague concepts double clicking on any item. Assess opinions on your team by using a quick vote voting methods. Contributor anonymity: focus on ideas, not authors, full disclosure, constructive improvement. Parallel processing of discussions: more ideas and information, full contribution, rapid exchange.