Several applications involve a transient stream of data which has to be modeled and analyzed continuously. Their continuous arrival in multiple, rapid, time-varying and possibly unpredictable and unbounded way make the analysis difficult and opens fundamentally new research problems. Examples of such data intensive applications include stock market, road traffic analysis, whether forecasting systems etc. Data Stream Management Systems are specifically designed for handling continuous data streams. They can handle multiple, time-varying, unpredictable and unbounded streams which cannot be...

Antimicrobial resistance (AMR) is one of the deadliest threats to global public health. This book focuses on dynamics in the landscape of AMR while informing about the latest technologies and strategies to mitigate it. The menace of AMR in different niches, routes of penetration across various domains, socio-economic impact, and the need for a 'One Health' approach in mitigating AMR has been emphasized. Factors involved in AMR, underlying mechanisms, and pharmacometrics in developing antimicrobials are highlighted. Emphasis is given to emerging technologies that are sustainable, scalable, and...