PPT-Classification based on Association Rules

Introduction Association rules were originally designed for finding multicorrelated items in transactions However they can be easily adapted for classification How Example SLL SWMPL S PW M. Sedative hypnotics depress or slow down the bodys functions These drugs are commonly referred to as tranquilizers sleeping pills or sedatives They were originally developed to treat medical conditions such as epileptic seizures as well as to treat a In later chapter we present some of the variations of the rules used in amateur scholastic and online com petitions These rules conform in most part to those of the world chess federation FIDE but differ significantly from those found in American to Chris Franck. LISA Short Course. March 26, 2013. Outline. Overview of LISA. Overview of CART. Classification tree description. Examples – iris and skull data.. Regression tree description. Examples – simulated and car data. By Satyajit Rout. Terms used. V(VM) : volatile matter content. C : Carbon content. A : ash content. M. : moisture content. O: oxygen . N: nitrogen. H: hydrogen, S: sulfur. d. af. : dry ash free basis. Chapter 18. The science of naming and classifying living things.. Taxonomy. Pre-1700 common names were used to identify organisms.. Long. Variable. Common Names. Grouped all organisms into two groups:. CLASSIFICATION OF LIVING THINGS. ABOUT HOW MANY LIVING THINGS EXIST ON EARTH?. 1.5 MILLION KNOWN ORGANISMS. THOUSANDS MORE IDENTIFIED EACH YEAR. ABOUT 10 MILLION DIFFERENT ORGANISMS BELIEVED TO EXIST ON EARTH. Rongcheng Lin. Computer Science Department. Contents. Motivation, Definition & Problem. Review of SVM. Hierarchical Classification. Path-based Approaches. Regularization-based Approaches. Motivation. 2013 international conference on computing , networking and communications, communications and information security symposium. Author : . Saeed. . Nari. , Ali A. . Ghorbani. . /17. 1. Speaker : Wen Lin Yu . General Classification Concepts. Unsupervised Classifications. Learning Objectives. What is image classification. ?. W. hat are the three . broad . classification strategies?. What are the general steps required to classify images? . Introduction. Association rules were originally designed for finding multi-correlated items in transactions. However, they can be easily adapted for classification... How ?. Example. {SL=L,. SW=M,PL = S, PW = M}. Learning Objectives. Importance of Classification. Philosophical underpinnings of two approaches to classification. Purposes of Classification. Symbols and Language. Words are symbols. By convention we all agree on symbols. Learn . About You.. Luke K. McDowell. U.S. Naval Academy. http://www.usna.edu/Users/cs/lmcdowel. . Joint work with:. MIDN Josh King, USNA. David Aha, NRL. Bio. 1993-1997: Princeton University. B.S.E., Electrical Engineering. Mirza Muhammad Waqar Expert/rule based classification 1 Contact: mirza.waqar@seecs.edu.pk Lecture Overview Image classification basics Image and feature spaces Supervised vs Unsupervised classification Diagnosis of D. M. . Dr. Behrang Motamed. Endocrinologist. Classification & Diagnosis. Classification. Diagnostic Tests for Diabetes. Prediabetes. Type 1 Diabetes. Type 2 Diabetes. Gestational Diabetes.