'Classification rules' presentation slideshows

Spatial and Temporal Data Mining

Spatial and Temporal Data Mining. Classification and Prediction. Vasileios Megalooikonomou. (based on notes by Jiawei Han and Micheline Kamber). Agenda. What is classification? What is prediction? Issues regarding classification and prediction Classification by decision tree induction

1.26k views • 92 slides

CIS664-Knowledge Discovery and Data Mining

CIS664-Knowledge Discovery and Data Mining. Classification and Prediction. Vasileios Megalooikonomou Dept. of Computer and Information Sciences Temple University. (based on notes by Jiawei Han and Micheline Kamber). Agenda. What is classification? What is prediction?

1.04k views • 92 slides

Spatial and Temporal Data Mining

Spatial and Temporal Data Mining. Classification and Prediction. Vasileios Megalooikonomou. (based on notes by Jiawei Han and Micheline Kamber). Agenda. What is classification? What is prediction? Issues regarding classification and prediction Classification by decision tree induction

931 views • 92 slides

CIS664-Knowledge Discovery and Data Mining

CIS664-Knowledge Discovery and Data Mining. Classification and Prediction. Vasileios Megalooikonomou Dept. of Computer and Information Sciences Temple University. (based on notes by Jiawei Han and Micheline Kamber). Agenda. What is classification? What is prediction?

929 views • 92 slides

Lecture 7 Classification

Lecture 7 Classification. ITCS 6163. Chapter 7. Classification and Prediction. What is classification? What is prediction? Classification by decision tree induction Bayesian Classification Other Classification Methods (SVM) Classification accuracy Prediction Summary.

1.22k views • 70 slides

Lecture 7 Classification

Lecture 7 Classification. ITCS 6163. Chapter 7. Classification and Prediction. What is classification? What is prediction? Classification by decision tree induction Bayesian Classification Other Classification Methods (SVM) Classification accuracy Prediction Summary.

977 views • 68 slides

Characteristics of Congenital Hearing Loss

Characteristics of Congenital Hearing Loss. Barbara S. Herrmann, Ph.D. CCC-A Audiology Department Massachusetts Eye and Ear Infirmary Harvard Medical School. Examine outcomes of UNHS. For one metropolitan nursery:

877 views • 52 slides

Data Mining Techniques: Classification

Data Mining Techniques: Classification. Classification. What is Classification? Classifying tuples in a database In training set E each tuple consists of the same set of multiple attributes as the tuples in the large database W additionally, each tuple has a known class identity

672 views • 51 slides

DNV Presentation to Journalists 2013

441 views • 37 slides

COMP3740 CR32: Knowledge Management and Adaptive Systems

404 views • 29 slides

Data Mining CSCI 307, Spring 2019 Lecture 9

235 views • 23 slides

ILP for Mathematical Discovery

ILP for Mathematical Discovery. Simon Colton & Stephen Muggleton Computational Bioinformatics Laboratory Imperial College. The Automation of Reasoning. Aims for the talk Discuss a new ILP algorithm (ATF) and its implementation in the HR system Promote maths as a domain for ILP research.

327 views • 21 slides

Dongkyoo Shin (shindk@sejong.ac.kr) Sejong University, InCob2007

Exploitation of Structural Similarity in Semi-Structured Bioinformatics Data for Efficient Storage Construction. Dongkyoo Shin (shindk@sejong.ac.kr) Sejong University, InCob2007. Table of contents. Abstract Background Methods Results Conclusions. Abstract (1). Background

376 views • 20 slides

366 views • 17 slides

Decision Trees and Numeric Attributes

Decision Trees and Numeric Attributes. Generally, when a numeric attribute is used to split data, it is a binary split. So the same numeric attribute may be tested several times.

263 views • 16 slides

Knowledge discovery with classification rules in a cardiovascular dataset

Knowledge discovery with classification rules in a cardiovascular dataset. Advisor : Dr. Hsu Presenter : Zih-Hui Lin Author :Viii Podgorelec a,*, Peter Kokol a, Milojka Molan Sti81ic b, Marjan Heri :ko a, Ivan Rozrnan a.

290 views • 14 slides

Knowledge discovery with classification rules in a cardiovascular dataset

Knowledge discovery with classification rules in a cardiovascular dataset. Advisor : Dr. Hsu Presenter : Zih-Hui Lin Author :Viii Podgorelec a,*, Peter Kokol a, Milojka Molan Sti81ic b, Marjan Heri :ko a, Ivan Rozrnan a.

144 views • 14 slides