@inproceedings{52d32f4a978540f7a09b13050bcf12d7,
title = "A study on skyline processing using hyperplane projections in multidimensional sensor data",
abstract = "In sensor networks, data has many attributes and these attributes will be real values like temperature or moisture conditions. In this paper, we handle these sensor data with skyline processing for searching the data. Skyline processing is the one of representative method for top-k query processing. A top-k query returns k tuples with the lowest score from multidimensional relation consists of sensor data. We propose a method which improves the plane-project-parallel-skyline by eliminating data tuples. Our approach computes the approximate skyline once again when the number of data tuples in the subspace is bigger than other subspaces.",
keywords = "Multidimensional Sensor Data, Skyline Processing",
author = "Ihm, {Sun Young} and Choi, {Su Kyung} and Jeong, {Young Sik} and Park, {Young Ho}",
year = "2012",
doi = "10.1007/978-94-007-5076-0_86",
language = "English",
isbn = "9789400750753",
series = "Lecture Notes in Electrical Engineering",
pages = "707--713",
booktitle = "Embedded and Multimedia Computing Technology and Service, EMC 2012",
note = "7th International Conference on Embedded and Multimedia Computing, EMC 2012 ; Conference date: 06-09-2012 Through 08-09-2012",
}