Direct marketing is a process of identifying likely buyers of certain products and promoting the products accordingly. It is increasingly used by banks, insurance companies, and the retail industry. Data mining can provide an eeective tool for direct marketing. During data mining, several speciic problems arise. For example , the class distribution is extremely imbalanced (the response rate is ...

We propose an approach for understanding leadership behavior in dot-jp, a non-profit organization, by analyzing heterogeneous multi-data composed of questionnaires and mailing list archives. Attitudes toward leaders were obtained from the questionnaires, and human networks were extracted from the mailing list archives. By integrating the results, we discovered that leaders must receive messages...

In the last decade, there was a rapid growth in the availability and use of credit for Brazilian companies. Until recently, the decision to grant credit was based on human trial to evaluate the risk of insolvency. Increased demand from companies for credit has led to the use of more accurate models for bankruptcy prediction. In recent years much progress has occurred in the process of drawing u...

Software project effort estimation requires high accuracy, but accurate estimations are difficult to achieve. Increasingly, data mining is used to improve an organization’s software process quality, e.g. the accuracy of effort estimations. Data is collected from projects, and data miners are used to discover beneficial knowledge. This paper reports a data mining experiment in which we examined ...

This paper presents a method to publish executable models of data mining case studies in a so-called Case Base, where they can be inspected in detail by anyone using a common web browser. The Case Base serves to inspire and educate other developers of data mining applications, in particular if they are not yet experts in the field. A case study can be directly downloaded and executed on new dat...

On July 21, 1992, six outside directors on the board of Westar Mining Ltd. resigned abruptly from the company's board of directors. Westar was a troubled mining company operating in British Columbia. In 1991, the company had lost $62.2 million, mainly as the result of a poorly performing export coal mine. While resigning from the board, the directors assured the public that there had been no wr...

In our media-driven world the perception of companies and institutions in the media is of major importance. The creation of press reviews analyzing the media response to company-related events is a complex and time-consuming task. In this demo we present a system that combines advanced text mining and machine learning approaches in an extensible press review system. The system collects document...

The size and number of telecom databases are growing quickly but most of the data has not been analyzed for revealing the hidden and valuable intellectual. Models developed from data mining techniques are useful for telecom to make right prediction. The dataset contains one million customers from a telecom company. We implement data mining techniques, i.e., AdaboostM1 (ABM) algorithm, Naïve Bay...

researches prove that effective customer management along with using customer knowledge is one of the topics that can produce competitive advantage in comparison with the other e-commerce topics. mining the customer knowledge with the aim of helping the managers in better ad strategy making will be possible using the systems with ability of extracting the behavioral patterns of customers from d...

Risk-based management and rehabilitation of water distribution systems requires that company asset data are collected and also that a methodology is available to efficiently extract information from data. The process of extracting useful information from data is called knowledge discovery and at its core is data mining. This automated analysis of large or complex datasets is performed to determ...