Crowdsourced data streams are continuous flows of generated at high rate by users, also known as the crowd. These popular and extremely valuable in several domains. This is case tourism, where crowdsourcing platforms rely on tourist business inputs to provide tailored recommendations future tourists real time. The continuous, open non-curated nature crowd-originated requires robust stream minin...

In this paper, we resolve the one-pass space complexity of perfect $L_p$ sampling for $p \in (0,2)$ in a stream. Given stream updates (insertions and deletions) to coordinates an underl...

Sustainable stream processing algorithms have gained popularity in recent years. Flow control is a way of searching and modifying real-time data streams. Missing values are ubiquitous real-world streams, making privacy challenging to safeguard. On the other hand, most preservation methods need not take absent into account when developed. They can anonymize certain study, however this results lo...

Many scenarios, such as network analysis, utility monitoring, and financial applications, generate massive streams of data. These streams consist of millions or billions of simple updates every hour, and must be processed to extract the information described in tiny pieces. These notes provide an introduction to (and set of references for) data stream algorithms, and some of the techniques that...