1.5k citations · 3.1k across the 169 of their papers we have counts for
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Large-Scale Shill Bidder Detection in E-commerce
Michael Fire, Rami Puzis, Dima Kagan +1
User feedback is one of the most effective methods to build and maintain trust in electronic commerce platforms. Unfortunately, dishonest sellers often bend over backward to manipu…
Matching Entities Across Online Social Networks
Olga Peled, Michael Fire, Lior Rokach +1
Online Social Networks (OSNs), such as Facebook and Twitter, have become an integral part of our daily lives. There are hundreds of OSNs, each with its own focus in that each offer…
Quantitative Analysis of Genealogy Using Digitised Family Trees
Michael Fire, Thomas Chesney, Yuval Elovici
Driven by the popularity of television shows such as Who Do You Think You Are? many millions of users have uploaded their family tree to web projects such as WikiTree. Analysis of…
Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population
Michael Fire, Yuval Elovici
Online genealogy datasets contain extensive information about millions of people and their past and present family connections. This vast amount of data can assist in identifying v…
Facebook Applications' Installation and Removal: A Temporal Analysis
Dima Kagan, Michael Fire, Aviad Elyashar +1
Facebook applications are one of the reasons for Facebook attractiveness. Unfortunately, numerous users are not aware of the fact that many malicious Facebook applications exist. T…
Friend or Foe? Fake Profile Identification in Online Social Networks
Michael Fire, Dima Kagan, Aviad Elyashar +1
The amount of personal information unwillingly exposed by users on online social networks is staggering, as shown in recent research. Moreover, recent reports indicate that these n…