… ways to manage and analyze the data being produced. In this survey, we comprehensively
review recent research trends in trajectory data management, ranging from trajectory pre-…

… This study analyzes a large scale mobile phone dataset that … We apply a trajectory data
mining approach to understand … and sequential pattern mining, the study reveals multiple “hot …

… methods and applications for trajectory data mining, which is an important type of ST data.
[… focus on the problems of trajectory data mining and urban crowd flow data prediction. For …

… survey on state-of-the-art advances in STDM. Unlike existing survey papers, we review …
challenges and their causes as well as issues related to selected applications and tasks. …

… More recently, trajectory data mining has become a research hotspot in … with large scale
network-based trajectory data, this paper proposes a novel vehicle trajectory clustering method …

… , big data technology can be applied for data mining, data analysis and … big data technologies.
In the last section, we summarize some practical application scenarios of big data services…

… Big data mining is a service that collects the essential information and expertise from and
provides the customer with a large, complex, competitive, high-volume, and lowdensity data set …

… of applications relying on the availability of trajectory data. Formally, a trajectory of an …
the literature: the quality of trajectory data and the quality of data mining results for a specific …

… trajectory prediction and abnormal traffic behaviour can be developed. In this study, a data
mining … on Automatic Identification System data that combines trajectory compression and …

… of resources and services. With this background, this paper presents a systematic and …
review of various data mining techniques employed in the large and small scale IoT applications …