CV Information - دانشگاه صنعتی امیرکبیر

Data & Information Analysis

Chapter 1: Introduction
Chapter 2: Data
Chapter 3: Classification: Basic Concepts and Decision Trees
Chapter 3.1: Evaluation of Classification Models
Chapter 3.2: Nearest Neighbor Classifiers
Chapter 3.3: Nave Bayes Classifier
Chapter 3.4: Support Vector Machine
Chapter 4. Cluster Analysis: Basic Concepts and Algorithms and K-means
Chapter 4.2: Hierarchical clustering
Chapter 4.3: DBSCAN
Chapter 5: Association Analysis: Basic Concepts and Algorithms (Apriori Algorithm)