Association Rule Mining in E- Commerce: a Survey

Interestingness of association rules in data mining: Issues relevant to e-commerce

The ubiquitous low-cost connectivity synonymous with the internet has changed the competitive business environment by dissolving traditional sources of competitive advantage based on size, location and the like. In this level playing field, firms are forced to compete on the basis of knowledge. Data mining tools and techniques provide e-commerce applications with novel and significant knowledge...

A Study of Heart Disease Prediction in Data Mining

The data mining techniques can extract the hidden information from the large databases. It helps to find the relationships and patterns from the data. Data mining is used for various applications such as business organizations, e-commerce, health care industry, scientific and engineering. In the health care industry the data mining is mainly used for predicting the diseases from the datasets. I...

Survey on Mining in Semi-Structured Data

Emerging technologies of semi-structured data have attracted wide attention of networks, e-commerce, information retrieval and databases. In these applications, the data are modeled not as static collections but as transient data streams, where the data source is an unbounded stream of individual data items. It is becoming increasingly popular to send heterogeneous and ill-structured data throu...

O2O E-Commerce Data Mining in Big Data Era

Large data environment is required to build a data mining system for O2O e-commerce. This paper analyzes the characteristics of large data era data, expounds the concept of data mining and the method of traditional data mining. Process: the use of the results of comparative analysis, it combined with the characteristics of the O2O data itself and the needs of modern people to establish a new pr...

Mining association rules for admission control and service differentiation in e-commerce applications