.pf{position:relative;background-color:#fff;overflow:hidden;margin:0;border:0}.pc{position:absolute;border:0;padding:0;margin:0;top:0;left:0;width:100%;height:100%;overflow:hidden;display:block;transform-origin:0 0;-ms-transform-origin:0 0;-webkit-transform-origin:0 0}.bi{position:absolute;border:0;margin:0}.pi{display:none}@media screen{.pf{margin:13px auto;box-shadow:1px 1px 3px 1px #333;border-collapse:separate}}.y0{bottom:91.594472px}.h1{height:830.755455px}.h0{height:1014.58492px}.w1{width:634.756096px}.w0{width:783.997438px}.x0{left:92.234993px}

CISC483 Lecture 28: Classification Rules: Growing & Pruning, Heuristics, Missing Attributes

United States

Introduction to Data Mining

Computer and Information Sciences

Carberry Sandra

University of Delaware

Introduction to Social and Cultural Anthropology

Introduction to Art History: Pyramids to Cathedrals

Art of Ancient Egypt and the Near East

Introduction to Art History: Renaissance to Modern

General Chemistry

Data Structures

Automata Theory

Computer Networks I

Operating Systems

Wildlife Conservation and Ecology

Physical Geography: Climatic Processes

U.S. History Since 1865

History and Government of Delaware

Discrete Mathematics I

Elementary Linear Algebra

Fundamentals of Physics I

Human Evolution and the Fossil Record

Introduction to Machine Learning

All Subjects

Accounting

Mathematics

Statistics

Computer Science

Calculus

Psychology

Management

Biology

Physics

Chemistry

Electrical Engineering

Mechanical Engineering

Marketing

Music

History

Project Management

Business

Architecture

Geography

Science

Nursing

Information Technology

Engineering

English

Finance

Philosophy

Astronomy

Communications

Sociology

Anthropology

Prealgebra

Algebra

Precalculus

Ethics

Geometry

Probability

Economics

CISC483 Lecture 28: Classification Rules: Growing & Pruning, Heuristics, Missing Attributes

Get access