Density Based Cluster Technique for Sensor Data
Main Article Content
Abstract
Knowledge discovery from sensor data is becoming increasingly important in many applications such as national security, environment, energy, smart homes, and so on. Sensor devices generates large amount of spatial and non-spatial data. Due to the characteristics of sensor networks, existing data mining methods cannot be applied. In this paper we present the enhancement of GDBSCAN for mining the sensor data. This method considers both spatial and non-spatial information together. Also the efficiency of algorithm is measured. Experimental evaluation is presented on synthetic and real data to demonstrate the effectiveness and robustness of the proposed algorithm.
Â
Keywords: Sensor Data; KDD-Sensor; Data Mining; Clustering; Density Based Cluster.
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.