This paper presents a framework for process mining in critical care. The framework uses the CRISP-DM model, extended to incorporate temporal and multidimensional aspects (CRISP-TDM), combined with the Patient Journey Modeling Architecture (PaJMa), to provide a structured approach to knowledge discovery of new condition onset pathophysiologies in physiological data streams. The approach is based...

This paper develops new directions on how individuals’ use of multiple goals can be incorporated in econometric models of individual decision-making. We start by outlining key components of multiple, simultaneous goal pursuit and multi-stage choice. Since different goals are often only partially compatible, such a multiple goal-based approach implies balancing goals, leading to a deliberate goa...

In recent years, biosurveillance has become the buzzword under which a diverse set of ideas and activities regarding detecting and mitigating biological threats are incorporated depending on context and perspective. Increasingly, biosurveillance practice has become global and interdisciplinary, requiring information and resources across public health, One Health, and biothreat domains. Even wit...

Real-time multimedia applications require processing of multiple data streams while maintaining responsiveness. Development of such applications can be greatly accelerated by the use of a middleware framework that abstracts operating system dependencies and provides optimized implementations of frequently used components. In this paper we present the Nizza multimedia framework which enables rap...

The availability of novel digital data streams that can be used as proxy for monitoring infectious disease incidence is ushering in a new era for real-time forecast approaches to disease spreading. Here, we propose the first seasonal influenza forecast framework based on a stochastic, spatially structured mechanistic model (individual level microsimulation) initialized with geo-localized microb...

Although many scholars have studied policy success and failure, the relationship of these phenomena to process—essential for an explanatory or anticipatory analysis—remains unclear. I address this gap by linking heuristic with multiple streams framework (MSF) developing hypotheses explain outcomes. apply conceptualization case solar energy in Gujarat, India combining a qualitative assessment pr...

There is much focus in the algorithms and database communities on designing tools to manage and mine data streams. Typically, data streams consist of multiple signals. Formally, a stream of multiple signals is (i, ai,j) where i’s correspond to the domain, j’s index the different signals and ai,j ≥ 0 give the value of the jth signal at point i. We study the problem of finding norms that are cumu...

Proliferation of pervasive devices capturing sensible data streams, e.g. mobility records, raise concerns on individual privacy. Even if the data is aggregated at a central server, location data may identify a particular person. Thus, the transmitted data must be guarded against re-identification and an un-trusted server. This paper overcomes limitations of previous works and provides a privacy...