Our team has won the Grand Champion (Tie) of PAKDD-2007 data mining competition. The data mining task is to score credit card customers of a consumer finance company according to the likelihood that customers take up the home loans offered by the company. This report presents our solution for this business problem. TreeNet and logistic regression are the data mining algorithms used in this proj...

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...

Dark web is a canopy concept that denotes any kind of illicit activities carried out by anonymous persons or organizations, thereby making it difficult to trace. The content on the dark constantly updated and changed. collection classification such illegal are challenging tasks, as they time-consuming. This problem has in recent times emerged an issue requires quick attention from both industry...

We used discrete combinatoric methods and non numerical algorithms [9], based on weighted prefix trees, to examine the data mining of DNA microarray data, in order to capture biological or medical informations and extract new knowledge from these data. We describe hierarchical cluster analysis of DNA microarray data using structure of weighted trees in two manners : classifying the degree of ov...

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...

With an advance in technologies, different tumor features have been collected for Breast Cancer (BC) diagnosis, processing of dealing with large data set suffers some challenges which include high storage capacity and time require for accessing and processing. The objective of this paper is to classify BC based on the extracted tumor features. To extract useful information and diagnose the tumo...

one of the most important issues in the domain of customer relationship management is identifying the factors that affect customer‘s satisfaction. accordingly, we focus on this subject and try to propose a new approach on using association rule technique in this domain. this technique provides us with identifying the relationship between different effective factors and the csi index thorough if...

  These days, data mining one of the most significant issues. One field data mining is a mixture of computer science and statistics which is considerably limited due to increase in digital data and growth of computational power of computer. One of the domains of data mining is the software cost estimation category. In this article, classifying techniques of learning algorithm of machine ...

The present study proposes a Customer Behavior Mining Framework on the basis of data mining techniques in a telecom company. This framework takes into account the customers’ behavior patterns and predicts the way they may act in the future. Firstly, clustering technique is used to implement portfolio analysis and previous customers are divided based on socio-demographic features using k</em...