In the paper, we use data mining techniques to analyze and retrieve customers’ travel patterns from the database in a travel system built in the WWW environment. Our solution consists of two phases. First, we propose three algorithms embedded in the system to arrange the travel routes and accommodations for customers. Second, we use mining techniques to extract the most interesting knowledge co...

Purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. The attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. Design/ methodology/ approach: the approach of this research is to use data mining tools...

In Today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. In respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. Commercial organiza...

Data mining has been widely used to identify potential customers for a new product or service. In this article is done a study of previous work relating to the application of data mining methodologies for software projects, specifically for direct marketing projects. Several data sets of demographic and historical customer purchases data available for evaluation of algorithms in this area, some...

In the second assignment for CSE 190: Data Mining and Predictive Analytics, we apply some techniques to improve the accuracy of classifying Rotten Tomatoes phrase sentiments. General Terms Algorithms, Experimentation

the rapid growing of information technology (it) motivates and makes competitive advantages in health care industry. nowadays, many hospitals try to build a successful customer relationship management (crm) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. many hospitals have large data warehouses containing customer ...

with the rapid development of the internet, the amount of information and data which are produced, are extremely massive. hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. data mining can overcome this problem. while data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. as the speed of ...

Data mining is the widely used research area in recent years. The results of data mining, represent relations in the data and are usually employed for classifying new data or for describing correlations hidden in the data. The process of classification predicts categorical labels based on the analysis of set of training data. Researchers have proposed many classification algorithms to automate ...

Data Mining is a powerful tool for academic intervention. The educational institutions can use classification for comprehensive analysis of students’ characteristics. In our work, we collected student’s data from engineering course. And then apply four different classification methods for classifying students based on their Final Grade obtained in their Courses. We compare these algorithms of c...