The turnover intention issues are detected often occur in a company, especially on employees who have competent talent and good quality work. This can cause new problems for the company if not handled properly. study intends to look at general specific descriptions which include potential predictors of mining companies. research is aimed all PT X engaged business Jambi province with minimum wor...

We describe the different stages in the data mining process and discuss some pitfalls and guidelines to circumvent them. Despite the predominant attention on analysis, data selection and pre-processing are the most time-consuming activities, and have a substantial in ̄uence on ultimate success. Successful data mining projects require the involvement of expertise in data mining, company data, and...

The study proposed the method of keyword enhanced Web structure mining which combines the ideas of Web content mining with Web structure mining. The method was used to mine data on business competition among a group of DSLAM companies. Specifically, the keyword DSLAM was incorporated into queries that searched for co-links between pairs of company Websites. The resulting co-link matrix was anal...

The 11th Pacific-Asia Knowledge Discovery and Data Mining Conference (PAKDD 2007) hosted a data mining competition, co-organized by the Singapore Institute of Statistics. The data set is from a consumer finance company with the aim of finding solutions for a cross-selling business problem. The company currently has two databases, one for credit card holders and the other for home loan (mortgage...

in today's competitive markets, with orientation companies towards customer satisfaction, customer relationship management (crm) is more complicated. the main question is how to identify profitable and key customers of company. companies can segmenting their customers into different groups based on the specific criteria by identify and analyzing the characteristics of their behavior. these...

-Data Mining is a powerful tool for academic intervention. Mining in education environment is called Educational Data Mining. Educational Data Mining is concerned with developing new methods to discover knowledge from educational database and can used for decision making in educational system. In our work, we collected the student’s data from engineering institute that have different informatio...