Application of Data Mining || Application of Data Mining in hindi
Application of Data Mining
1. within the field of mobile phones: data processing is employed by mobile phones firms to induce data regarding their clients like that customer however mobile from that search or web site and that phone etc.
2. within the field of banking :
data processing is employed within the field of banking to spot dishonest ,loyal customers in mastercard and acquire different data.
3. within the field of retail:
data processing is employed to induce data regarding customers , sales that client obtain the foremost product data regarding product transport and consumption and services.
4. within the field of insurance:.
within the field of insurance data processing is employed to predict that client can take that insurance.
5. within the field medication|of drugs|of medication}:
data processing is employed to analyse and predict the behaviour of the patient within the field of medication for stop understanding the condition of the patient that medicine ought to tend to him and the way long the medication ought to tend to the patient it's see things square measure foreseen.
6. within the field of science: data processing is employed to predict the atmospheric condition in science , pseudoscience and biology.
7. within the field of law:
within the space of law data processing is employed in predicting the behaviour of criminals in entire patterns locating location etc. in order that the criminal cases that square measure there are often resolved simply.
8. within the field of defence:
data processing is employed to predict at what time the weapon exhausted in base and thanks to offer it and what else are going to be required in product by this.
Future trends of knowledge mining
data processing is one among the foremost wide used technique to extract information from completely different sources and organise them for higher uses.
in spite of getting completely different industrial system for data processing loads of challenges come back up after they are literally enforced .
advanced algorithmic rule from the bottom {of information|of knowledge|of information} mining as they permit for data segmentation to spot numerous trades and pata ne direct variation and predict the chances of varied events happening.
a number of the key data processing trades for the long run embrace
1. multimedia system information mining:
this is often one among the newest technique that is catching up due to the growing ability to capture helpful information accurately.
it involve the extraction of the info from completely different types of multimedia system sources like audio, text machine-readable text, video ,images etc.and the information is regenerate into a numerical illustration in several formats.
This technique are often used agglomeration and classification playacting equally sex and conjointly to spot associations.
2. omnipresent information mining:.
this technique committed the which means {of data|of knowledge|of data} from mobile devices to regarding information regarding people.
in spite of getting many challenges during this kind like quality, privacy, cost etc.
this technique incorporates a ton of opportunities to be monumental in numerous industries particularly in learning human pc interaction.
3. Distributed data processing. :
this kind of knowledge mining is gaining quality because it involve the mining of big quantity of data is keep in several computers location.
extremely subtle algorithms square measure wont to extract information from completely different locations and supply correct report base abreast of them.