LiveZilla Live Chat Software

A survey of Big Data in social media using data mining techniques

A survey of Big Data in social media using data mining techniques

Starting at: Rs.5,500.00

5500 reward points

 A survey of Big Data in social media using data mining techniques

World’s largest community Facebook’s ‘Like’ button pressed 2.7 billion times every day across the web revealing what people care about, such an impact of social media that internet user average almost spends 2.5 hours daily on liking, chatting, poking, tweeting on social media, which has become vast source of unstructured data. While dealing with big data it’s difficult for traditional databases and architecture to modify, grill and then structure this data, it can lead to many consumer insights which can help to create win-win situations. It has become necessary to find out value from large data sets to show relationships, dependencies as well as to perform predictions of outcomes and behaviors. Big Data has been characterized by 5 Vs – Volume, Velocity, Variety, Veracity and Value. This paper deals with all these 5Vs, features, challenges, future of Big Data in social media arena using data mining algorithms, tools and Hadoop framework for overcoming challenges of Big Data.


ClickMyProject Specifications
Including Packages
  * Supporting Softwares   * 24/7 Support
  * Complete Source Code   * Ticketing System
  * Complete Documentation   * Voice Conference
  * Complete Presentation Slides   * Video On Demand *
  * Flow Diagram   * Remote Connectivity *
  * Database File   * Code Customization **
  * Screenshots   * Document Customization **
  * Execution Procedure   * Live Chat Support
  * Readme File   * Toll Free Support *
  * Addons    
  * Video Tutorials    

*- PremiumSupport Service (Based on Service Hours) ** - Premium Development Service (Based on Requirements)

Add to Cart:

  • Model: PROJ7611
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

Please Choose:


This product was added to our catalog on Tuesday 08 August, 2017.