One method for detecting fraud is to check for suspicious changes in user behavior over time. This paper describes the automatic design of user profiling methods for the purpose of fraud detection, using a series of data mining and machine learning techniques. It uses a rule-learning program to uncover indicators of fraudulent behavior from a large database customer transactions. Then the indic...

Classification and patterns extraction from customer data is very important for business support and decision making. Timely identification of newly emerging trends is very important in business process. Large companies are having huge volume of data but starving for knowledge. To overcome the organization current issue, the new breed of technique is required that has intelligence and capabilit...

With the advancesin Web-based oriented technologies, experts are able to capture user activities on the Web. Users’ Web browsing behavior is used for user identification. Identifying users during their activities is extremely important in electronic commerce (e-Commerce)as it has the potential to prevent illegal transactions or activities particularly for users who enter the system through the ...

Because of a speedy pace of technology innovation, the competition of the information and communication industries in Taiwan has grown vigorously. At the same time, the demand of consumers has become more sophisticated than ever. In order to outperform competitors and fulfill consumers’ sophisticated requests, retailers of 3C (Computer, Communication, and Consumer Electronics) products, on one ...

The integration of mobile devices with cloud computing systems results in a platform which is well-suited for the aggregation of customer behavior. Many organizations are capitalizing on this opportunity to harvest user data. They offer free software, content, and services in order to observe customer behavior. However, users have grown wary of increasingly comprehensive and granular profiling....

Mobile telecommunication sector has been accelerated with GSM 1800 licenses in the Turkey. Since then, churn management has won vital importance for the GSM operators. Customers should have segmented according to their profitability for the churn management. If we know the profitable customer segments, we have chance to keep in hand the most important customers via the suitable promotions and c...

Initial ranging is the primary and important process in wireless networks for the customer premise equipments (CPEs) to access the network and establish their connections with the base station. Contention may occur during the initial ranging process. To avoid contention, the mandatory solution defined in the standards is based on a truncated binary exponential random backoff (TBERB) algorithm w...

Data Quality is a major stake for large organizations and software companies are proposing increasing numbers of tools focusing on these issues. The scope of these tools is moving from specific applications (deduplication, address normalization etc ...) to a more global perspective integrating all areas of data quality (profiling, rule-detection...). A framework is needed to help managers to ch...

There is much recent discussion on data streams and big data, which except of their volume and velocity are also characterized by volatility. Next to detecting change, it is also important to interpret it. Consider customer profiling as an example: Is a cluster corresponding to a group of customers simply disappearing or are its members migrating to other clusters? Does a new cluster reflect a ...