Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

In movement data analysis, there exists a problem of comparing multiple trajectories of
moving objects to common or distinct reference trajectories. We introduce a general …

We propose and demonstrate the DisasterNeedFinder framework in order to provide
appropriate information support for the Noto Peninsula Earthquake. In the event of a large …

The concept of place connectedness (traditionally termedaccessibility') refers to the ability of
people to reach various services and to participate in activities. Connectedness by public …

This paper presents a framework for identifying the offline information needs of persons in
disaster situations by analyzing online behavioral logs and utilizing the users' location and …

Situation-aware route planning gathers increasing interest. The proliferation of various
sensor technologies in smart cities allows the incorporation of real-time data and its …

Intelligent city transportation systems are one of the core infrastructures of a smart city. The
true ingenuity of such an infrastructure lies in providing the commuters with real-time …

In recent years we have witnessed a growing interest in trip planning systems aiming at
organizing daily travel schedules in smart cities. Such systems use specialized engines to …

Municipal authorities in the suburban cities of many developing countries need to deal with
rapid unplanned urbanization, huge population bursts, and policy planning under severe …

Machine Learning under Resource Constraints addresses novel machine learning
algorithms that are challenged by high-throughput data, by high dimensions, or by complex …