ABSTRACT
Many simple operations of everyday life, such as using a credit card or the phone, often lead to automated creation of data. Since these operations often scale over large numbers of participants, they lead to massive data streams. Similarly, telecommunications and social networks often contain large amounts of network or text data streams. The problem of learning from such data streams presents unprecedented challenges, especially in resource-constrained scenarios.
