Download e-book for iPad: Data Mining for Retail Website Design and Enhanced Marketing by Asem Omari

By Asem Omari

ISBN-10: 3639064844

ISBN-13: 9783639064841

Info mining is taken into account as probably the most robust applied sciences that participates vastly in supporting businesses in any to target an important details of their information warehouses. during this ebook, we built a brand new technique that measures the effectiveness of knowledge mining in assisting retail web pages designers to enhance the constitution in their web content throughout the layout part. This method overcomes net utilization mining drawbacks, improves the web site layout constitution, and decreases upkeep efforts wanted within the future.We studied the habit of things with appreciate to time. We confirmed how organization rule mining might be invested to enhance the method of determination making in a retail enterprise via exploring present and former product procuring habit and predicting and controlling destiny traits and behaviors. in response to our concept that attention-grabbing common itemsets are commonly coated through many fresh transactions, a brand new technique to mine for fascinating widespread itemsets is brought. eventually, we brought the TARtool that is a temporal dataset generator and an organization rule miner.

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This process is repeated until every item is placed in the suitable cluster. • Hierarchical Clustering Method: If we permit a cluster to have subclusters, then we obtain hierarchical clusters. Hierarchical clusters are sets of nested clusters that are organized as a tree, where each node in the tree represents a cluster and its sub-nodes represent the sub-clusters. The root of the tree represents the cluster that contains all the objects. There are two main approaches in hierarchical clustering the agglomerative approach and the divisive approach.

Data mining is one of those tools used by CRM to study customer behavior and interests and use the extracted knowledge to manage customers life cycle, attract new customers, and retain good customers. For example, by analyzing customer profiles, we can find the group of customers who bought a particular product and encourage similar customers have not bought that product to buy it. Furthermore, by studying the profiles of customers who have left the company, a special strategy can be built to retain customers who are expected to leave, because it is less expensive to retain an existing customer that to win a new one.

A lot of research has been done to cover different website design techniques, and strategies. The work in [46] provides a survey of experts’ recommendations of how to create an effective website from an e-commerce point of view. It investigates the determinants of an effective website. The survey indicated that the major categories of determinants are: page loading speed, business content, navigation efficiency, security, and marketing/customer focus. The authors in [47] and [48] present a method for designing kiosk websites which are websites that provide information and allow users to navigate through those information.

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Data Mining for Retail Website Design and Enhanced Marketing by Asem Omari

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