'Continuous attributes' presentation slideshows

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation. Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar. Classification: Definition. Given a collection of records ( training set )

1.65k views • 111 slides

High Performance Data Mining

High Performance Data Mining. Vipin Kumar Army High Performance Computing Research Center Department of Computer Science University of Minnesota http://www.cs.umn.edu/~kumar Research sponsored by AHPCRC/ARL, DOE, NASA, and NSF. Overview. Introduction to Data Mining (What, Why, and How?)

846 views • 66 slides

1.2k views • 36 slides

Rough Set based Decision Tree for Identifying Vulnerable and Food Insecure Households

Rough Set based Decision Tree for Identifying Vulnerable and Food Insecure Households. Rajni Jain 1 , S. Minz 2 and P. Adhiguru 1 1 Sr. Scientist, NCAP, Pusa, New Delhi 2 Associate Professor, Jawaharlal Nehru University. Outline. Problem Knowledge Discovery Process Data Mining

461 views • 35 slides

Projects

Projects. CS 661. DAS 02, Princeton, NJ. OCR Features and Systems Degradation models, script ID, Bilingual OCR, Kannada OCR, Tamil OCR, mp versus hw checks, traffic ticket reading Handwriting Recognition Stochastic models, holistic methods, Japanese OCR Classifiers and Learning

529 views • 34 slides

Frequent Pattern Mining

Frequent Pattern Mining. Toon Calders Bart Goethals ADReM research group. Outline. What is data mining? Definition local patterns vs global models Supervised vs Unsupervised What do we do? Frequent set mining More complex data types. What is data mining?.

452 views • 27 slides

Mining Financial Data Histograms & Contingency Tables

In memory of Dr . Jan Zytkow SEP 09 1944 - JAN 16 2001. ITCS - 8265. Mining Financial Data Histograms & Contingency Tables. Shishir Gupta Under the guidance of Dr. Mirsad Hadzikadic. Agenda. Database Task goals Tool & technique used Data preparation and cleaning Attribute selection

235 views • 23 slides