Data Mining Student Projects, a way to explore your knowledge with the help of top experts and versatile developers. In Data mining involves mining of information from large datasets. We also offer you knowledge mining i.e. mine best and innovative ideas for your project from our experts. And We are also working as a backbone for the students from all over the world to provide a guiding platform for their research. Our Mining Student Projects is our effort to impart our knowledge to the budding students.

We also have served nearly 1000+ projects all over the world with an immense pleasure that our students feel satisfied with us. If you feel, you want to be among our successful student, you can also approach us any time(24/7).


    Data Mining Student Projects brings innovative and also newfangled ideas for students, who wish to excel in their career. We also provide great platform and guidance for students and scholars, who feel to stand high in the midst of others. Data-Mining is one of the best domains for research due to its rising need and applications. Students need a guiding hand for upgrading their knowledge to burgeon in their academic projects.

We have top experts and well trained developers, who can give you perfect guidance and support to harness the best in you. Also We have provided a brief gist about data mining for students to understand about it, before taking a project in it.


Data Mining can be defined as extraction of hidden predictive information from huge database in order to focus on the most important information available also in the data warehouse.

Key Features of Data Mining

  • Uses Machine learning, statistical and also visualization techniques.
  • Programming Languages Used(R, Python, Lisp/Clojure, also SQL, Matlab)
Graphical User Interface support:
Rattle GUI:
  • Free and Open source package
  • Use R Statistical software and also programming
  • Java also based Open source software
  • Serves as collection of Machine learning algorithms
Oracle Data Miner GUI:
  • Extension of Oracle SQL developer
  • Generates SQL and PL/SQL scripts for automation, also scheduling and deployment.
  • Open source software(also Python based)
  • Used also for data analysis and visualization
Rapid Miner:
  • Open source(Java based)
  • Used also for predictive analysis
Database Used:
Oracle Database 12c:
  • Composed of Oracle database 11g release 2, SQL Developer, also Data Miner Repository
SQL Server:
Provide add-in for:
  • Microsoft Office Excel(Table analysis tools and data mining clients)
  • Microsoft-Office Visio 2010(Data Mining Templates)
Apache Mahout:
  • Scalable learning and also data mining library
  • Used for reading, writing and also managing large datasets.
Most commonly Used Algorithms and Methods:
  • Statistical Algorithm
  • Neural Networks
  • Genetic Algorithms
  • Nearest neighbor also method
  • Rule Reduction
  • Data visualization
  • Supervised Learning
  • Unsupervised also Learning
  • Semi- supervised Learning
  • Regression Algorithms:
    • -Linear Regression
    • -Logistic also Regression
    • -Stepwise Regression
    • -Ordinary Least Squares also Regression
    • -Multivariate Adaptive also Regression splines
    • -Locally estimated also scatter plot smoothing
    • Instance based Algorithms:
      • -Learning Vector Quantization
      • -K-Nearest Neighbor
      • -Self Organizing Map
      • -also Locally Weighted Learning
Frameworks and libraries Used
  • Knowledge STUDIO SDK
  • Juttle
  • wiz[Open Java data mining and also knowledge discovery platform]
  • LPA Data Mining ToolKit
  • Machine learning Framework
  • Microsoft OLE DB also for Data Mining
  • NAG Data Mining components
  • TextAnalyst COM
  • PolyAnalyst COM
  • Waffles
  • XAffinity
  • WizWhy-OCX
  • Apache Mahout
  • Data Mining Template Library
  • XELOPES[also for embedded data mining]
  • Java Data Mining Package
  • Dlib C++ library
  • Mloss[also Machine learning open source software]
  • Mulan[Open source Java library]
  • Orange
  • Sav Z
  • Scikit learn
  • Very fast Machine learning library
  • Weka
  • YCML[Machine learning and also optimization algorithms]

Major Research Applications

  • Future healthcare applications (Approaches used-Machine learning, multi-dimensional databases, soft computing, Statistics and also data visualization)
  • Educational Data mining
  • Market Basket Analysis
  • Customer Relationship Management
  • Manufacturing Engineering
  • Fraud detection and also Intrusion detection
  • Lie Detection and also sentiment analysis
  • Financial banking and also corporate surveillance
  •  Customer segmentation also applications
  • Criminal Investigation
  • Bio Informatics
  • Research Analysis [Data cleaning, databases integration and also data pre-processing]

      These will give you also an insight about Data mining concepts, so that you can get a clear way for your project. Your project is the most important asset for you, which will also decide your entire career. Be sure, you will never compromise with your project and also expect for high quality and standard work. We can also assure you for 100% quality work, which will make you to stand out and also high in the midst of others.