DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded
Data mining extracts useful information from a large data set among heterogeneous data base. This paper shows how the data mining techniques can be used in Automobile industry. Data mining Techniques such as Classification, Association rules, Clustering etc. can be appropriately applied to arrive a solution which will enable the vehicle manufacturing companies to take decision on model preferences and choice, create stimuli to push customers to choose among choice of variance and to aid help and support to customers in the aspects of financial and insurance products. By applying these techniques, the car manufacturers can identify the potential customers; develop products according to customer choice and to build customer relationship to promote business by attracting new customers while retaining the existing customers. The Automobile manufacturing companies are investing millions of rupees to understand, absorb, and listen their customers and their changing preferences to choose the vehicle of their choice. Market environment determines the buying behavior of customers. This is inevitable because the competition is emerging though it is a healthy situation but a potential threat to the automobile manufactures to come out with lot of innovative ideas on invention and development of their product to delight the customers
