Important Future Trends in Data Mining

1. M A X B P O O U T S O U R C I N G FUTURE TRENDS OF DATA MINING

2. DATA MINING Data Mining is a process of extracting specific data from a large dataset which contains inaccurate, incomplete or unfinished data, in such a manner that it can be used accurately in different other processes. Every company wants to know consumers’ behavior for buying the particular product or service, and their preferred geographical location to buy? What features they refer in the product? If we see the future trends in data mining, we will find the most convincing and approachable trends will be those are enlisted on next slide briefly-

3. DATA MINING WITH EMBEDDED MULTIMEDIA This trend is in full swing because of its caliber in capturing the data in various forms of audio, video, text or even from the images, irrelevant to resolution of the image. The extraction is performed and output is delivered in desired format for further use.

4. DATA MINING BY SEQUENCE METHOD There are occasions when buyer buys certain commodities in some particular season; this occurs at random level than a defined level. This method is used basically to grasp the knowledge about analyzing customer’s behavior about seasonal buying.

5. DATA MINING WITH DIVERSIFIED METHOD As name suggests the source of data and information is stored on multiple locations, this method is used to extract the information from a particular company’s different locations. The data is extracted with such a highly accurate scale so that a detailed knowledge or information can be gained in benefit of company’s future strategy of selling the products.

6. O u r S o c i a l M e d i a C h a n n e l s

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