Data Mining Project Proposal

Data Mining Project Proposal

       Data Mining Project Proposal provides you a list of guidelines for writing your data mining project proposal. We have significant research experts who can well-prepared for your research proposal. Research proposal is a major part of your research career, so you have to spend some amount of time to it. Data mining is a top research fields that highly working under by various country researchers. Writing data mining project proposal is difficult and complex for current research researchers due to its numerous issues (complexity, security, privacy, cost, etc.). But we are here for that, we prepare your project proposal with unique and novel ideas and it should be original. In our every project proposal we cover the following list of items:

Our Proposal Structure:

  • Title of Project
  • Abstract
  • Introduction/brief overview of your research field of data mining
  • Significance and Background
  • Study Objectives
  • Problem statement/potential pitfalls
  • Literature survey
  • Research Methodology/Proposed Work

                          -Data mining Tasks/Operations

                          -Datasets /Database

                          -Methods and Models

                          -Algorithms and Pseudocode

                          -Mathematical Formulation

  • Overall architecture
  • Simulation/Development of Software Application
  • Intended Results and Applications
  • Timeline for Implementation
  • Scope and Conclusion
  • References

Data Mining Project Proposal

       Data Mining Project Proposal rendered by us that mainly involves with preparation of proposal for students and research scholars those who belong to final years. Data Mining has a variety of research fields including Text Mining, Temporal Mining, Stream Mining, Spatial and Geographical Mining, Utility Mining, Web mining, Distributed Data Mining, Ubiquitous Data Mining, Hypertext and Hypermedia Data Mining, Multimedia Data mining, Time Series Data Mining, Constraint Based Data Mining, Phenomenal Data Mining etc. We have 150+ world class engineers who working on Data Mining Concepts, Tasks and Operations, Software tools and its Applications. Our experts are experts of experts who have completed their doctoral graduation on world’s top university with gold medalists. If smart work is your weapon, success will be your slave. Reach of us for your Happy ending……

Current Trends in Data Mining:

  • Software engineering with Data Mining
  • Visual Data Mining
  • Interactive and scalable methods for Data Mining
  • Application Exploration
  • Biological Data Mining
  • New methods for complex Data Mining
  • Standardization of query language in Data Mining
  • Multi database and Multi Rational Data Mining
  • Information Security and Privacy Protection in Data Mining
  • Big Analytics integrated with Cloud Computing



                                         -Apache Spark

                                         -Amazon EC2 and S3

Steps in Data Mining:

  • Understanding of the application/relevant prior knowledge
  • Make target set for discovery
  • Data preprocessing and cleaning
  • Reduce invariant representations and number of data variables
  • Select any of the following data mining tasks




                                -Association Rules

                                -Data visualization

                                -Feature Extraction and Selection

                                -Anomaly Detection

                                -Statistical data analysis

                                -Multidimensional analysis

  • Apply data mining algorithm
  • Patterns searching
  • Knowledge discover

Specific Models Used in Data Mining:

  • Decision Tree
  • Non-negative Matrix Fabrication
  • K-means and O-clustering
  • Naïve Bayes Algorithm
  • Support Vector Machines
  • Apriori and Hashing Techniques
  • Neural networks and expert systems
  • Intelligent agents
  • Soft Sets for Machine learning and Data mining
  • Genetic Algorithms
  • Artificial Neural Networks

Sample Data Mining Project Proposal Topics:

  • Design Framework for Real time, country level location, and classification of worldwide tweets
  • A Review of Differentially Private Data Publishing and Data Analysis
  • Design Scalable and Flexible Algorithms for CQA Post Voting Prediction
  • Semi-supervised clustering solutions using Adaptive Ensembling
  • Question Routing for Community Question Answering Services based on a Multi-objective optimization approach
  • Random tress based classification for streaming emerging new classes in Data Mining
  • Heterogeneous Events Matching with Patterns using Data Mining Approaches
  • Temporal graphs based Keyword search Mechanism
  • An Efficient Framework for Keyword Aware Representative of Travel Route Recommendation.

                          We are all top inventors,

                                  Each delivering out on a Journey of Knowledge Discovery,

                                          Assisted each by a private chart of which there is no duplicate.