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Accuracy evaluation for sensed data

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To address the problem for accuracy evaluation, we propose a systematic method. With MSE, a parameter to measure the accuracy in statistics, we design the accuracy evaluation framework for multimodal data. Within this framework, we classify data types into three categories and develop accuracy evaluation algorithms for each category in cases of in presence and absence of true values. Extensive experimental results show the efficiency and effectiveness of our proposed framework and algorithms.

Original languageEnglish
Title of host publicationWireless Algorithms, Systems and Applications - 9th International Conference, WASA 2014, Proceedings
EditorsZhipeng Cai, Chaokun Wang, Siyao Cheng, Hongzhi Wang, Hong Gao
PublisherSpringer Verlag
Pages205-214
Number of pages10
ISBN (Electronic)9783319077819
DOIs
StatePublished - 2014
Event9th International Conference on Wireless Algorithms, Systems and Applications, WASA 2014 - Harbin, China
Duration: 23 Jun 201425 Jun 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8491
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Wireless Algorithms, Systems and Applications, WASA 2014
Country/TerritoryChina
CityHarbin
Period23/06/1425/06/14

Keywords

  • Accuracy
  • Data quality
  • Sensed data

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