This paper describes solution for Time Series Land Cover Classification Challenge (TiSeLaC). Using features extracted from satellite images time series (SITS) each pixel corresponding to 30m⇥30m area can be classified to one of general class (urban area, forest, water, etc.). The following approaches implemented and evaluated: classical data mining multiclass prediction, local context embedding...

[1] Surface mining of coal and subsequent reclamation represent the dominant land use change in the central Appalachian Plateau (CAP) region of the United States. Hydrologic impacts of surface mining have been studied at the plot scale, but effects at broader scales have not been explored adequately. Broad-scale classification of reclaimed sites is difficult because standing vegetation makes th...

We live in a technology driven society where, each one of us continuously leaves digital traces behind. Our mobile phones, for example, continuously sense our movements and interactions. This sociogeographic data could be continuously captured by millions of people around the world and promises to reveal important behavioral clues about humans. Mining patterns of human behavior from large-scale...

Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already created to solve the data mining tasks. Most of these applications are based only on agentification of classic distributed data mining techniques. In this article we present a novel framework MALEF (MultiAgent Learning F...

Mining is one of the most important industrial activities worldwide. During its different stages numerous impacts are generated to the environment. The activities in the region have generated a great amount of mining residues, which have caused severe pollution and health effects in both human population and biotic components. The aim of this paper was to assess the impact of mining activities ...

Marine pollution has been a hot issue since 1990s around the world. Chua discussed marine pollution prevention and management in the East Asian Seas, concentrating on pollution caused by land and sea based sources [2]. The land based sources included destruction of coastal habitats, urban effluents discharge and coastal sand mining has resulted in serious coastline erosion. Sea based sources in...

In an urban area, the demand for taxis is not always matched up with the supply. This paper proposes mining historical data to predict demand distributions with respect to contexts of time, weather, and taxi location. The four-step process consists of data filtering, clustering, semantic annotation, and hotness calculation. The results of three clustering algorithms are compared and demonstrate...

The rivers of the Front Range are dammed and diverted to provide water to the surrounding regions, and they are constricted by roads and railroads, stocked with fish, polluted by mining wastes and urban runoff. Yet many of the people who visit the Front Range for short periods perceive the landscape to be a nearly pristine wilderness because they are unaware of the historical impacts of human a...