LEJ Knowledge Hub

Lecture

Right Arrow

SEARCH COURSES / LECTURES

Left Arrow

Data Mining (V-U)

(220 Lectures Available)

S# Lecture Course Institute Instructor Discipline
151
  • Naive bayes independence (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
152
  • Naive bayes smoothing (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
153
  • Naive bayes: parameters learning (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
154
  • Neural networks evaluation (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
155
  • NLP (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
156
  • Noisy Channel (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
157
  • Noisy channel probability (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
158
  • Other attribute measures (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
159
  • Other stages of NLP (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
160
  • Outlier Analysis: Deviation-Based Approach for outleir discovery (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
161
  • Outlier Analysis: Distance-Based Approach for outleir discovery (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
162
  • Outlier Analysis: Statistical Approaches for outlier discovery (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
163
  • Outlier Analysis: What Is Outlier Discovery? (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
164
  • Partitioning Methods: Basic Concept (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
165
  • Partitioning Methods: Discussion/Comments on the K-Means Method (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
166
  • Partitioning Methods: The K-Means Clustering Method (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
167
  • Partitioning Methods: The K-Medoids Clustering Method (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
168
  • Partitioning Methods: Variations of the K-Means Method (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
169
  • Rain forest example (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
170
  • Ratio scaled variables (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
171
  • Regular expressions (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
172
  • Rule-Based Classification: Rule Induction: Sequential Covering Method (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
173
  • Rule-Based Classification: Using IF-THEN Rules for Classification (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
174
  • Rule-Based Classification:Rule Extraction from a Decision Tree (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences
175
  • Spell correction (V-U)
Data Mining (V-U) Virtual University Dr.Usman Ghani Applied Sciences

Basic and Health Sciences

Applied Sciences

Social Sciences