Guest editorial: Integrated spatio-temporal analysis and data mining

Integrated Spatio-temporal Data Mining for Forest Fire Prediction

Forests play a critical role in sustaining the human environment. Most forest fires not only destroy the natural environment and ecological balance, but also seriously threaten the security of life and property. The early discovery and forecasting of forest fires are both urgent and necessary for forest fire control. This article explores the possible applications of Spatio-temporal Data Mining...

Exploratory spatio-temporal data mining and visualization

Spatio-temporal data sets are often very large and difficult to analyze and display. Since they are fundamental for decision support in many application contexts, recently a lot of interest has arisen toward data-mining techniques to filter out relevant subsets of very large data repositories as well as visualization tools to effectively display the results. In this paper we propose a data-mini...

Guest editorial data mining and knowledge discovery with evolutionary algorithms

DATA mining (DM) consists of extracting interesting knowledge from real-world, large and complex data sets; and is the core step of a broader process, called knowledge discovery from databases (KDD). In addition to the DM step, which actually extracts knowledge from data, KDD process includes several preprocessing (data preparation) and postprocessing (knowledge refinement) steps. The goal of d...

Guest Editorial: Big Media Data: Understanding, Search, and Mining

BIG media data is a new research area, and has been attracting a lot of research interests in both industry and academia. This editorial, as the third part of this special issue, introduces two papers on video copy detection data and personalized travel sequence recommendation from social media. The first paper is “Partial Copy Detection in Videos: A Benchmark and An Evaluation of Popular Metho...

Linkage Analysis : A Spatio - Temporal Data Mining Approach