PPT-Modeling Logic with Decision Tables and Trees

2 Decision Trees and Decision Tables Often our problem solutions require decisions to be made according to two or more conditions or combinations of conditions Decision trees represent such decision as a sequence of steps. Psychology of Personal Decision-Making. Agenda. Balanced Judgment. Recognition. Limited Capacity. Tools. External Memory. Lists. Decision Tables/Trees. De-cluttering. Priming. Heuristics. Decomposition. A . decision tree. is a graphical representation of every possible sequence of decision and random outcomes (states of nature) that can occur within a given decision making problem.. A decision tree is composed of a collection of nodes (represented by circles and squares) interconnected by branches (represented by lines).. System. s. Analysis. Structured analysis. Karolina . Muszyńska. Based partly on: http://www.csun.edu/~dn58412/IS431/IS431_SP13.html. Model-driven Analysis. Structured analysis. Information engineering. Computability and Logic. Central Question. Given any statement about mathematics, is it true or is it false?. Example: . Goldbach. Conjecture: Every even number greater than 2 is the sum of two prime numbers.. Aleksander. . Pivk. , . York . Sure, . Philipp . Cimiano. ,. Matjaz. . Gams. , . Vladislav. . Rajkovic. , . Rudi . Studer. Presented By Stephen Lynn. Information Extraction. Free-form Text. Linguistic/NLP approaches. 2. Decision Trees and Decision Tables. Often our problem solutions require decisions to be made according to two or more conditions or combinations of conditions. Decision trees represent such decision as a sequence of steps. Object-based classifiers. Others. DECISION TREES. Non-parametric approach. Data mining tool used in many applications, not just RS. Classifies data by building rules based on image values. Rules form trees that are multi-branched with nodes and “leaves” or endpoints. Agenda. About us. Introduction. Method. Decision Logic. Testing. 2. Message. Motivation. Report on a comple. x,. real-world decision project . and share the lessons learned with yo. u.. 3. Orlando, . . to Logic Gates and Logic Circuits. Prof. Hakim Weatherspoon. CS 3410. Computer Science. Cornell University. The slides are the product of many rounds of teaching CS . 3410 . by Professors . Weatherspoon, . Chapter 5 Divide and Conquer – Classification Using Decision Trees and Rules decision trees and rule learners two machine learning methods that make complex decisions from sets of simple choices Decision Trees and Decision Tables 2 Decision Trees and Decision Tables Often our problem solutions require decisions to be made according to two or more conditions or combinations of conditions Decision trees represent such decision as a Decision trees MARIO REGIN What is a decision tree? General purpose prediction and classification mechanism Emerged at the same time as the nascent fields of artificial intelligence and statistical computation How is normal Decision Tree different from Random Forest?. A Decision Tree is a supervised learning strategy in machine learning. It may be used with both classification and regression algorithms. . As the name says, it resembles a tree with nodes. The branches are determined by the number of criteria. It separates data into these branches until a threshold unit is reached. . Pablo Aldama, Kristina . Vatcheva. , PhD. School of Mathematical & Statistical Sciences, University of Texas Rio Grande Val. ley. Data mining methods, such as decision trees, have become essential in healthcare for detecting fraud and abuse, physicians finding effective treatments for their patients, and patients receiving more affordable healthcare services (.