DATA MINING STUDENT PROJECTS

DATA MINING STUDENT PROJECTS

   Data Mining Student Projects, a way to explore your knowledge with the help of top experts and versatile developers. Data mining involves mining of information from large datasets. We offer you knowledge mining i.e. mine best and innovative ideas for your project from our experts. We are working as a backbone for the students from all over the world to provide a guiding platform for their research. Our Data Mining Student Projects is our effort to impart our knowledge to the budding students. We 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 approach us any time(24/7).

DATA MINING STUDENT PROJECTS

    Data Mining Student Projects brings innovative and newfangled ideas for students, who wish to excel in their career. We 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. We have provided a brief gist about data mining for students to understand about it, before taking a project in it.

KNOW ABOUT DATA MINING

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

Key Features of Data Mining:

  • Uses Machine learning, statistical and visualization techniques.
  • Programming Languages Used(R, Python, Lisp/Clojure, SQL, Matlab)

Graphical User Interface support:

Rattle GUI:

  • Free and Open source package
  • Use R Statistical software and programming

Weka:

  • Java 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, scheduling and deployment.

Orange:

  • Open source software(Python based)
  • Used for data analysis and visualization

Rapid Miner:

  • Open source(Java based)
  • Used for predictive analysis

Database Used:

Oracle Database 12c:

  • Composed of Oracle database 11g release 2, SQL Developer, 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 data mining library

Hive:

  • Used for reading, writing and managing large datasets.

Most commonly Used Algorithms and Methods:

  • Statistical Algorithm
  • Neural Networks
  • Genetic Algorithms
  • Nearest neighbor method
  • Rule Reduction
  • Data visualization
  • Supervised Learning
  • Unsupervised Learning
  • Semi- supervised Learning
  • Regression Algorithms:

                          -Linear Regression

                          -Logistic Regression

                          -Stepwise Regression

                          -Ordinary Least Squares Regression

                          -Multivariate Adaptive Regression splines

                          -Locally estimated scatter plot smoothing

  • Instance based Algorithms:

                          -Learning Vector Quantization

                          -K-Nearest Neighbor

                          -Self Organizing Map

                          -Locally Weighted Learning

Frameworks and libraries Used:

  • Knowledge STUDIO SDK
  • Juttle
  • wiz[Open Java data mining and knowledge discovery platform]
  • LPA Data Mining ToolKit
  • Machine learning Framework
  • Microsoft OLE DB for Data Mining
  • NAG Data Mining components
  • TextAnalyst COM
  • PolyAnalyst COM
  • Waffles
  • XAffinity
  • WizWhy-OCX
  • Apache Mahout
  • Data Mining Template Library
  • XELOPES[for embedded data mining]
  • Java Data Mining Package
  • Dlib C++ library
  • Mloss[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 optimization algorithms]

Major Research Applications:

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

 

      These will give you 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 decide your entire career. Be sure, you will never compromise with your project and expect for high quality and standard work. We can assure you for 100% quality work, which will make you to stand out and high in the midst of others.

 

DATA MINING STUDENTS PROJECTS MAKES YOU FEEL…..

YOU’RE WORTH AND VALUE………………..

WHICH ADDS STANDARD AND QUALITY TO YOUR PROJECT……