SCCI Digital Library and Forum

Menu

Home
About Us
Video Library
eBooks
SCCI Forum

Home » Applied Sciences » Computer Science » Data Mining (V-U) » WEKA Results Visualization (V-U)

WEKA Results Visualization (V-U)

Course:Data Mining (V-U)
Discipline:Applied Sciences
Institute:Virtual University
Instructor(s): Dr.Usman Ghani
Level:Undergraduate

Data Mining (V-U)

A multi-dimensional data model: 3D data cube representation (V-U)
A multi-dimensional data model: Data Warehouse Design (V-U)
A multi-dimensional data model: Data warehouse snowflake schema (V-U)
A multi-dimensional data model: Fact Constellation Schema (V-U)
A multi-dimensional data model: Measures of Data Cube (V-U)
A multi-dimensional data model: Typical OLAP Operations (V-U)
Bag of words model (V-U)
Basic Concepts of Classification: A Two-Step Process (V-U)
Basic Statistical Descriptions of Data: Measuring the Central Tendency (V-U)
Basic Concepts of Classification: Introduction (V-U)
Basic Statistical Descriptions of Data: Measuring the Dispersion of Data (V-U)
Basic Concepts of Classification: Supervised vs. Unsupervised Learning (V-U)
Basic Statistical Descriptions of Data: Symmetric vs. Skewed Data (V-U)
Basic Concepts of Cluster Analysis: Challenges of Clutering (V-U)
Bayes Classification Methods: Naïve Bayes Classifier (V-U)
Basic Concepts of Cluster Analysis: Clustering Applications (V-U)
Bayes Classification Methods: Naïve Bayes Classifier: An Example (V-U)
Basic Concepts of Cluster Analysis: Clustering as a Preprocessing Tool (V-U)
Bigram based correction & its example (V-U)
Basic Concepts of Cluster Analysis: Clustering criteria (V-U)

Sialkot Chamber of Commerce & Industry P.O. Box 1870, Shahrah-e-Aiwan-e-Sanat-o-Tijarat, Sialkot City 51310 – Pakistan

Facebook Twitter Instagram

Need help?

+92-52-4261881-3

sialkot@scci.com.pk

Copyright © 2026 SCCI Digital Library and Forum | All Right Reserved. Developed By FARAZ SALEEM