Searching for authors named "Ahmed Metwally" – sorted by Relevance.
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SLEUTH: Single-pubLisher attack dEtection Using correlaTion Hunting ∗
- Several data management challenges arise in the context of Internet advertising networks, where Internet advertisers pay Internet publishers to display advertisements on their Web sites and drive traffic to the advertisers from surfers ’ clicks. Although advertisers can target appropriate market seg
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Duplicate Detection in Click Streams
- We consider the problem of finding duplicates in data streams. Duplicate detection in data streams is utilized in various applications including fraud detection. We develop a solution based on Bloom Filters [9], and discuss the space and time requirements for running the proposed algorithm in both t
- Cited by 6 (1 self) – Add To MetaCart
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Range cube: Efficient cube computation by exploiting data correlation
- Data cube computation and representation are prohibitively expensive in terms of time and space. Prior work has focused on either reducing the computation time or condensing the representation of a data cube. In this paper, we introduce Range Cubing as an efficient way to compute and compress the da
- Cited by 4 (0 self) – Add To MetaCart
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Abbadi. On Hit Inflation Techniques and Detection in Streams of Web Advertising Networks
- Click fraud is jeopardizing the industry of Internet advertising. Internet advertising is crucial for the thriving of the entire Internet, since it allows producers to advertise their products, and hence contributes to the well being of ecommerce. Moreover, advertising supports the intellectual valu
- Cited by 2 (1 self) – Add To MetaCart
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Using Association Rules for Fraud Detection in Web Advertising Networks
- Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications require a new model of association between pairs of elements in streams. We develop an algorithm, Streaming-Rules, to rep
- Cited by 5 (4 self) – Add To MetaCart
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Fast Data Stream Algorithms using Associative Memories ∗ ABSTRACT
- The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last decade have resulted in a number of efficient algorithms with varying degrees of space and time complexities. While these te
- Cited by 4 (1 self) – Add To MetaCart

