The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

Clustering is an efficient way to group data into different classes on basis of the internal and
previously unknown schemes inherent of the data. With the development of the location …

This chapter will provide a detailed survey of frequent pattern mining algorithms. A wide
variety of algorithms will be covered starting from Apriori. Many algorithms such as Eclat …

Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …

Increased availability of high-resolution movement data has led to the development of
numerous methods for studying changes in animal movement behavior. Path segmentation …

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and
Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data …

Recent improvements in positioning technology make massive moving object data widely
available. One important analysis is to find the moving objects that travel together. Existing …

Spatio-temporal, geo-referenced datasets are growing rapidly, and will be more in the near
future, due to both technological and social/commercial reasons. From the data mining …

As mobile devices with positioning capabilities continue to proliferate, data management for
so-called trajectory databases that capture the historical movements of populations of …

From basic data mining concepts to state-of-the-art advances, this book covers the theory of
the subject as well as its application in a variety of fields. It discusses the incorporation of …