Clustering-Based Trajectory Outlier Detection
نویسندگان
چکیده
منابع مشابه
Towards Semantic Trajectory Outlier Detection
Volunteered Geographic Information (VGI) is a Web phenomenon known as “user-generated content”, which involves resources from Web 2.0 and geographic data. Geobrowsers are websites that collect and provide VGI. These systems, however, do not follow norms or standards for data collection or documentation, which makes it difficult to recover such data and limits the interoperability among VGI syst...
متن کاملAn outlier detection algorithm based on clustering
Outlier detection is a very important type of data mining, which is extensively used in application areas. The traditional cell-based outlier detection algorithm not only takes a large amount of time in processing massive data, but also uses lots of machine resources, which results in the imbalance of the machine load. This paper presents an distancebased outlier detection algorithm. These expe...
متن کاملA Spectral Clustering Based Outlier Detection Technique
Outlier detection shows its increasingly high practical value in many application areas such as intrusion detection, fraud detection, discovery of criminal activities in electronic commerce and so on. Many techniques have been developed for outlier detection, including distribution-based outlier detection algorithm, depth-based outlier detection algorithm, distance-based outlier detection algor...
متن کاملOutlier Detection : A Clustering - Based Approach
16 Abstract— Outlier detection is a fundamental issue in data mining; specifically it has been used to detect and remove anomalous objects from data. It is an extremely important task in a wide variety of application domains. In this paper, a proposed method based on clustering approaches for outlier detection is presented. We first perform the Partitioning Around Medoids (PAM) clustering algor...
متن کاملTrajectory Outlier Detection Algorithm Based on Structural Features
As the development of location based service, such as GPS and RFID, a great volume of trajectory data can be collected. As a result, mining knowledge from these data has become an attractive topic. The trajectory outlier detection algorithm, proposed in this paper, can be used to detect trajectory outliers by comparing the structure between each trajectory segment pairs. Firstly, a new concept ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2020
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2020.0110520