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SKT holds 'Grandata Public Day', introduces public AI and data use cases
SK Telecom said it held the 'Grandata Public Day 2026' seminar on Sept. 18 at its SKT Tower in central Seoul to introduce AI and big data use cases in the public sector. The event shared practical techniques to upgrade internal work and improve public ser
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Emart joins SK Telecom's GranData initiative for private data integration
Emart joins SK Telecoms GranData initiative for private data integration SK Telecom announced on the 6th that Emart has joined the private corporatio
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The benefits of predicting a customer's move before they move
Moving is a big deal, for both customers and retailers Whether it's from apartment to apartment, a house to a condo, or between countries, moving is a major event in most people's lives. And for retailers, a change in a customer's location often serves as
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Claiming Customers in the Crowded Personal Loan Market
A Transforming Personal Loan Market In 2018, the outstanding balances for personal loans reached a record-high of $132.4 billion, up 23% year-over-year. What changed? In addition to a more confident market, Fintechs like LendingClub and Prosper Marketplac
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A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry
In this research, our results show that collective inference methods do not improve the performance of relational classifiers and the best performing relational classifier is the network-only link-based classifier.
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Socioeconomic correlations in communication networks
In this work we study the socioeconomic structure of a communication network by combining mobile communication records and bank credit informations of a large number of individuals living in Mexico. We provide empirical evidences about present economic un
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Human Mobility and Predictability enriched by Social Phenomena Information
The massive amounts of geolocation data collected from mobile phone records has sparked an ongoing effort to understand and predict the mobility patterns of human beings. In this work, we study the extent to which social phenomena are reflected in mobile
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Evolution of Communities with Focus on Stability
Community detection is an important tool for analyzing the social graph of mobile phone users. The problem of finding communities in static graphs has been widely studied. However, since mobile social networks evolve over time, static graph algorithms are
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