A Survey on Data Mining

Abstract

Information mining is the figuring procedure of finding examples in expansive informational collections including techniques at the convergence of counterfeit consciousness, machine learning, measurements, and database frameworks. It is an interdisciplinary subfield of software engineering. The general objective of the information mining procedure is to concentrate data from an informational index and change it into a justifiable structure for further utilize. In this paper, the basic concept of data mining is being discussed along with the various types of techniques exist. The data mining tools are also described in this study to help researchers in using them foe enhancing and collecting various patterns and relationships from huge data.

Authors and Affiliations

Ishaan Kumar, Sandhya Tarwani

Keywords

Related Articles

Stock Market Price Trend Forecasting using Machine Learning

support vector machine is a machine learning technique used in to forecast stock prices. Stock market price forecasting is the process of determining the future value of a company’s stock. This study uses daily closing...

Automatic Irrigation System using Recycled Water through Smart Tube

Every person needs food to survive in this world. Agriculture is main source to cultivate food crops, is mainly depends on irrigation. At present due to water crisis the agriculture production is proceeding low. The rea...

Automatic Generation of Speech (AGS) For Mute and Hearing Impaired People

The Automatic Speech generation System provides a suitable user friendly device to the mute and hearing impaired people in the world who are deprived of controlling things around them. This System can also be utilised f...

An Efficient Virtual Machine Migration Technique in Cloud Datacenter

The gist of cloud computing come from the concept of virtualization. It is a way of materializing a number of guest OS on a single host server such that CPU and memory resources of the host machine are shared with the g...

Transafe Vehicle: Safety in Public Transport

As urban areas are becoming more noticeable and developed, safety management becomes more challenging. Through our project, we let people meet today’s high demands for improved and safe transportation systems. Whether w...

Download PDF file
  • EP ID EP23979
  • DOI http://doi.org/10.22214/ijraset.2017.4273
  • Views 283
  • Downloads 11

How To Cite

Ishaan Kumar, Sandhya Tarwani (2017). A Survey on Data Mining. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(4), -. https://europub.co.uk/articles/-A-23979