In this study, we introduce the Co-Membership-based Generic Anomalous Communities Detection Algorithm (referred as to CMMAC), a novel and generic method that utilizes the information of vertices co-membership in multiple communities.
Entity Matching is an essential part of all real-world systems that take in structured and unstructured data coming from different sources.
The spread of the Red Palm Weevil has dramatically affected date growers, homeowners and governments, forcing them to deal with a constant threat to their palm trees.
Searching for information about a specific person is an online activity frequently performed by many users.
Results are based on a case study in the city of Beer Sheva, Israel, consisting of one month of smart card data.
Our study looks at new qualities of ads that can be determined before an ad is shown (rather than online optimization) and defines which ads are most likely to be successful.