IEEE Projects On Data Mining
IEEE Projects On Data Mining include text mining , image mining ,web mining.
- IEEE data mining projects are done by java programming language in a more efficient manner
- Usually, data mining projects are processed with internal and external datasets which contains lots of information
- Many research scholars and students to choose data mining domain to do their projects
Data Mining:
- Extracting knowledge hidden from large volumes of data
- Data mining finds patterns and relationships of particular data using data analysis tools and techniques
Goals of Data Mining:
- Association
- Sequence or Temporal
- Classification
Data Mining Needs:
- Need to extract useful information from data and to interpret the data
- Too much data and too little information
Technologies of data mining:
- Data mining vs DBMS
- Online Analytical Processing (OLAP)
- Machine Learning
- Data Warehouse
- Statistical Analysis
Data Mining Stages:
- Pre-Processing
- Data Model creation
- Knowledge Extraction
- Analysis performances of the models
- Interpretation and Evaluation
IEEE Projects On Data Mining
Techniques Used in Data mining:
- Visualization
- Statistics
- Clustering
- Set Oriented Database Methods
Applications of Data Mining:
- Organizational Restructuring
- Fraud Detection
- Scientific Discovery
- Knowledge Acquisition
- Credit Assessment
- Risk Analysis and Management
Data mining Algorithms:
- Hierarchical Clustering Algorithms
- Supervised Algorithms
- Unsupervised Algorithms
- K-Means Algorithm
- 5 Algorithm
- K-NN Classification Algorithm
- Support vector Machine Algorithm
- Apriori Algorithm
Knowledge representation methods:
- Rules
- Neural Networks
- Decision trees
IEEE Projects On Data Mining
