This paper is published in Volume-2, Issue-4, 2016
Area
Computer Science and Engineering
Author
Yukti Chawla, Parikshit Singla
Org/Univ
DVIET, Karnal,Haryana, India
Pub. Date
18 July, 2016
Paper ID
V2I4-1153
Publisher
Keywords
Consumer trend Analysis, data mining, item set mining, big data.

Citationsacebook

IEEE
Yukti Chawla, Parikshit Singla. Consumer Trend Prediction using Efficient Item-Set Mining of Big Data, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Yukti Chawla, Parikshit Singla (2016). Consumer Trend Prediction using Efficient Item-Set Mining of Big Data. International Journal of Advance Research, Ideas and Innovations in Technology, 2(4) www.IJARIIT.com.

MLA
Yukti Chawla, Parikshit Singla. "Consumer Trend Prediction using Efficient Item-Set Mining of Big Data." International Journal of Advance Research, Ideas and Innovations in Technology 2.4 (2016). www.IJARIIT.com.

Abstract

Habits or behaviors presently prevalent amid customers of goods or services. Customer trends trail extra than plainly what people buy and how far they spend. Data amassed on trends could additionally contain data such as how customers use a product and how they converse concerning a brand alongside their communal network. Understanding Customer Trends and Drivers of Deeds provides an overview of the marketplace, analyzing marketplace data, demographic consumption outlines inside the group, and the key customer trends steering consumption. The report highlights innovative new product progress that efficiently targets the most pertinent customer demand states, and proposals crucial recommendations to capitalize on evolving customer landscapes.