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@article{155077,
        author = {Monika sharma and Dr. Priyanka Verma and Dr. Geetika Vyas},
        title = {Pros and Cons of using Data-Mining in Fashion Styling},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {12},
        pages = {1288-1298},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155077},
        abstract = {Online shopping is still in its medium level stage in India but growing at a fast pace. To continue its growth, it is significant to understand the user’s preferences. Analysis of consumer’s behavior with respect to online shopping consists of detailed information about consumers past purchases as well as prediction of future purchases. This growing need for refined information can’t be met with simple database software. Data Mining is used for finding the hidden information from the database of data. It has also been called as data analysis, knowledge discovery and deductive learning. The ability to recognize and track patterns in data help businesses sift through layers of seemingly unrelated data for meaningful relationships. Through this analysis it becomes easy for the online retailers to determine the dimensions that influence the uptake of online shopping and plan effective marketing strategies. The aim of this paper is to understand the role of data mining in growth of fashion styling. The major factors that affect the consumer’s online buying behavior are convenience, ease of use and perceived benefits. Security is also a major consideration when opting to conduct shopping activities online. This study will help in further analyzing the consumer online buying behavior towards Online shopping which will help the retailers to design appropriate marketing strategies for selling their products online which will further help in development of the country.},
        keywords = {Fashion industry, data mining techniques, data mining strategies, software used},
        month = {},
        }