![]() ![]() In addition, in this paper, a new genetic algorithm is proposed, which does not need the computational complexity. In the dynamic architecture, the number of hidden layers and the number of hidden nodes are sequentially and dynamically generated until a level of performance accuracy is reached. Before training ANN, the number of hidden layers and hidden nodes has already been fixed. Classical architecture of ANN is arbitrary. This paper presents an optimal algorithm of modeling dynamic architecture for artificial neural networks (ANN) and a novel machine-learning algorithm for extracting rules from databases via using genetic algorithm. With the rapid development of online shopping, the ability to intelligently collect and analyze information about E-shoppers has become a key source of competitive advantage for firms. This segment feels that not only is it the most important of all attributes for online commerce, but also that the Web does a very poor job on this attribute/benefit. Fourth, there is a large segment of web surfers who dislike buying on the Web the predominant reason for this appears to be their perception about the security of sensitive information. Third, demographics do not discriminate between web buyers even though that has been the traditional focus with the Internet. This finding may also indicate that prices on web pages are somewhat similar, and consumers are moving on to other criteria to continue their evaluation process. Second, compared to other online purchase-related attributes, getting the lowest price does not appear to be a very important attribute for web shoppers. First, consumers are more concerned about web attributes that are associated with perceived losses than with web attributes that consumers associate with gains. Our study has some interesting findings that shed light on consumer perceptions and behavior with respect to online commerce. We show that benefits sought can provide more diagnostic information than mere descriptive demographic profiling. We then profile the segments along the twin dimensions of demographics and benefits sought. We apply a latent class modeling approach to segment web shoppers, based on their purchase behavior across several product categories. Thus through this research we can find which are the mobile applications that will help home makers in doing their home making work. The analysed applications list will be shown in table format. The analysis will report on the usage of mobile applications, features and need for mobile applications. The mobile applications which are verified by google play store will be selected and analysed. ![]() Content analysis method is used for analysing the mobile applications. In this research we are going to analyse the mobile applications that are useful for home makers to do their home making works from home without travelling to any places. The mobile applications that are widely used in India for doing home making works like shopping for home, banking, communication and services. However home makers are in need of mobile applications to do their work easy and fast from home. The usage of smart phones are necessary for both working and home making women. Google play store offers many mobile applications for different purpose for all the users who use smartphones. Mobile applications are used with the help of internet. The advantage of mobile applications is to reduce the usage of computer and laptop and also the time of travelling to different places. Mobile applications makes the works easy and simple. The use of mobile applications is needed for all the fields. The product descriptions can be added to the cart and can be ordered.ĭigital technology development has made a wide demand for smart phones and its applications. ![]() The proposal demonstrates the category of the product and the specific details of the product. This framework involves the online sale of products, fashion accessories, watches, and many more. So, we proposed an android-based platform named 'QUICKMART' where people will shop online from any location and at any time. This review paper methodically surveys the literature on the utilization of online shopping platforms. Another undeniable advantage of internet shopping is the accommodation. Internet shopping is a stage that permits buyers to make buys online with the accommodation of shopping from their solace. The web has essentially changed society, which incorporates the manner in which we look for goods, garments, electronic items, and some more. ![]() What we presently underestimate-Google, online papers, and web-based shopping which were designed because there was a fit stage for it. The web and the creating correspondence framework foundation across the globe came to enormous business openings. ![]()
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