Rangeandnearestneighborquerieson Uncertain Spatiotemporal Data

نویسنده

  • Yufei Tao
چکیده

Uncertain data are abundant in numerous spatiotemporal applications providing location-based services. This chapter will first review these applications and explain why uncertainty is inherent, sometimes even intended, in their underlying data. Then, we will address two classical spatial queries: range search and nearest neighbor retrieval. We will see that the presence of uncertainty requires extending the traditional definitions of both queries, and thus, also invalidates the conventional algorithms designed for precise databases. We will survey the existing the variations of both queries specifically formulated on uncertain data. Finally, the algorithms for efficiently processing these queries will also be discussed.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Uncertainty in Spatiotemporal Databases

Several different models for spatial indeterminacy have been presented. However, none of them are to the authors’ knowledge capable of modelling spatiotemporal information. This paper will describe a way to extend a model for uncertain spatial data so that it also handles spatiotemporal data. This paper will also look at many of the operations for spatiotemporal data and see how well they trans...

متن کامل

A Discrete Model for Spatial Data with Temporal Uncertainty

This paper builds on earlier works on vector-based discrete models for uncertainty in spatial databases. It extends these models so that they are also capable of modelling spatiotemporal data. The extension is based on the idea of time slices, which have been used in [1] to create a model for normal spatiotemporal data. The new extension deals with how to model spatial uncertainty in spatiotemp...

متن کامل

Spatiotemporal Kriging with External Drift

In statistics it is often assumed that sample observations are independent. But sometimes in practice, observations are somehow dependent on each other. Spatiotemporal data are dependent data which their correlation is due to their spatiotemporal locations.Spatiotemporal models arise whenever data are collected across bothtime and space. Therefore such models have to be analyzed in termsof thei...

متن کامل

Abstract and Discrete Models for Uncertain Spatiotemporal Data

and Discrete Models for Uncertain Spatiotemporal Data Erlend Tøssebro and Mads Nygård Department of Computer Science, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway tossebro, mads @idi.ntnu.no The theme of this presentation is uncertainty in spatial and spatiotemporal databases. Due to lack of accurate measurements, or rapid changes in time, spatial and spatiotemporal...

متن کامل

Improving Spatiotemporal Change Detection: A High Level Fusion Approach for Discovering Uncertain Knowledge from Satellite Image Databases

This paper investigates the problem of tracking spatiotemporal changes of a satellite image through the use of Knowledge Discovery in Database (KDD). The purpose of this study is to help a given user effectively discover interesting knowledge and then build prediction and decision models. Unfortunately, the KDD process for spatiotemporal data is always marked by several types of imperfections. ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008