Weka‐STPM: a Software Architecture and Prototype for Semantic Trajectory Data Mining and Visualization

• DOI: 10.1111/j.1467-9671.2011.01246.x
• Publication Date: 2011-04-04T08:05:01Z
• Authors: Vania Bogorny; Hercules Avancini; Bruno Cesar de Paula; Cassiano Rocha Ku...; Luis Otavio Alvares
• Keywords: Abstraction

Abstract Enormous quantities of trajectory data are collected from many sources, such as GPS devices and mobile phones, sequences spatio‐temporal points. These can be used in application domains traffic management, urban planning, tourism, bird migration, so on. Raw data, generated by have very little or no semantics, most applications a higher level abstraction is needed to exploit these for decision making. Although several different methods been proposed far querying mining, there software tools help the end user with semantic analysis. In this article we present architecture mining well first prototype enrich both information mining. As extend Weka toolkit module Weka‐STPM, which interoperable databases constructed under OGC specifications. We tested Weka‐STPM real geographic databases, stored Postgresql/PostGIS DBMS.