IEEE PROJECTS ON DATA MINING titles

IEEE PROJECTS ON DATA MINING

IEEE Projects On Data Mining include text mining , image mining ,web mining. Final Year IEEE Java & Data Mining Projects

  • 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

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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

 

                      

Final Year IEEE Java & Data Mining Projects

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