The pervasiveness of location-aware devices has spawned extensive research in trajectory
data mining, resulting in many important real-life applications. Yet, the privacy issue in …

Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical
Graph Mining with R presents a" do-it-yourself" approach to extracting interesting patterns …

Uncertain is inherent in moving object trajectories due to measurement errors or time-
discretized sampling. Unfortunately, most previous research on trajectory pattern mining did …

This paper deals with problems concerning missing data in statistical databases. Multiple
imputation is a statistically sound technique for handling incomplete data. Two problems …

Combining GPS tracks with semantic annotations is the basis for large data analysis tasks
that give insight into the movement behavior of populations. In this paper, we present a first …

(k, l) m-anonymity is an effective model to preserve privacy for trajectory data publishing.
However, the model cannot prevent sensitive location disclosure on the condition that l is …

In this paper, we describe an extension to the ACGT GridR environment which allows the
parallelization of loops in R scripts in view of their distributed execution on a computational …

In recent years, using advanced semi-interactive data analysis algorithms such as those
from the field of data mining gained more and more importance in life science in general and …

This chapter introduces the reader to the world of parallel computing. We begin with a
simple overview of parallel computing. Later, we explore several techniques for utilizing the …

Nowadays data sharing among multiple parties has become inevitable in various
application domains for diverse reasons, such as decision support, policy development and …