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Identifying bidders with suspicious bidding activities related to possible online auction fraud is a difficult task due to a large number of users participating in online auctions. In order to reduce the number of users to be investigated, we examine observable features of a bidder’s behavior, and utilize a hierarchical clustering technique to divide a collection of bidders into normal and devi...

In online experimentation, appropriate metrics (e.g., purchase) provide strong evidence to support hypotheses and enhance the decision-making process. However, incomplete are frequently occurred in making available data be much fewer than planned experiments A/B testing). this work, we introduce concept of dropout buyers categorize users with metric values into two groups: visitors buyers. For ...

Ever since the worldwide demand for gambling services started to spread, its expansion has continued steadily. To wit, online is a major industry in every European country, generating billions of Euros revenue commercial actors and governments alike. Despite such evidently beneficial effects, ultimately vast social experiment with potentially disastrous personal consequences that could result a...

In this information era, data from different sources (online activities) are in abundance. Social media are increasingly providing activities and data, relations and interactions (audio, video and texting) among social actors (people), due to increasing capabilities of mobile devices and the ease access to the Internet. More than a billion people are now involved in online social media, and ana...

Online data mining in wireless sensor networks is concerned with the problem of extracting knowledge from a large continuous amount of data streams with an in-network processing mode. Unlike other types of networks, the limited computational resources require the mining algorithms to be highly efficient and compact. We propose a distributed resource-aware online data mining framework for wirele...

The aim of this study is to improve web log mining and online navigation pattern prediction. Web mining is an active and wide area which incorporates several usages for the web site design, providing personalization server and other business making decisions etc. Efficient web log mining results and online navigational pattern prediction is a tough process due to vast development in web. It inc...