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Applications of Data Mining in Real Life (SPATIAL MINING: Data mining is…
Applications of Data Mining in Real Life
SPATIAL MINING: Data mining is the automated process of discovering patterns in data. The purpose is to find correlation among different datasets that are unexpected.
Earthquake Prediction
relationship among earthquakes in different locations and make predictions
Crop yield prediction
For forest preservation
Evaluation of Forest extent
necessary actions for forest preservation
Determining Hotspots
The program computes the distance between two points
using Pythagoras formula.
TEMPORAL MINING: Temporal data mining deals with the harvesting of useful information from temporal data.
Inventory consumption of warehouse
To avoid storage problems
Product sales of a Company
To improve sales and get statistics of their sales
Stock market
Identifying temporal patterns from the fluctuation of stock prices is a very complex problem.
WEB MINING: Web mining is the process of using data mining techniques and algorithms to extract information directly from the Web by extracting it from Web documents and services, Web content, hyperlinks and server logs.
E-Politics and E-Democracy
E-politics provides political information and politics on
demands to the citizen improving political transparency and
democracy
Security and Crime Investigation
Identification of Cyber Ciminals
E Business
Web mining techniques can support a web enabled
electronic business to improve on marketing, customer
support and sales operations.
E Government
Organisations that interact with the citizen of the country
lead to better social services
IMAGE MINING: image mining deals with the extraction of image patterns from a large collection of images.
Space research
To get Space Images
Medical Diagnosis
used for MRI scans for Tumor detections
Remote Sensing
remote sensing acquisition and processing are used in security and social purposes