Proceedings ArticleDOI
Managing uncertainty in spatial and spatio-temporal data
Reynold Cheng,Tobias Emrich,Hans-Peter Kriegel,Nikos Mamoulis,Matthias Renz,Goce Trajcevski,Andreas Züfle +6 more
- pp 1302-1305
Reads0
Chats0
TLDR
This tutorial provides a comprehensive overview of the different challenges involved in managing uncertain spatial and spatio-temporal data and presents state-of-the-art techniques for addressing them.Abstract:
Location-related data has a tremendous impact in many applications of high societal relevance and its growing volume from heterogeneous sources is one true example of a Big Data [1]. An inherent property of any spatio-temporal dataset is uncertainty due to various sources of imprecision. This tutorial provides a comprehensive overview of the different challenges involved in managing uncertain spatial and spatio-temporal data and presents state-of-the-art techniques for addressing them.read more
Citations
More filters
Proceedings ArticleDOI
An Online Pricing Mechanism for Mobile Crowdsensing Data Markets
TL;DR: This paper proposes a novel online query-bAsed cRowd-sensEd daTa pricing mEchanism, namely ARETE, to determine the trading price of crowd-sensed data, and theoretical analysis shows that ARETE guarantees both arbitrage-freeness and a constant competitive ratio in terms of revenue maximization.
Journal ArticleDOI
ARETE: On Designing Joint Online Pricing and Reward Sharing Mechanisms for Mobile Data Markets
TL;DR: The first architecture of mobile crowd-sensed data market is presented, and an in-depth study of the design problem of online data pricing and reward sharing is conducted, which shows that ARETE-PR guarantees both arbitrage-freeness and a constant competitive ratio in terms of profit maximization.
Journal ArticleDOI
Big geodata mining: Objective, connotations and research issues
TL;DR: The objective, connotations and research issues of big geodata mining were discussed to address its significance to geographical research in this paper and it was suggested that flow space, where flow replaces points in traditional space, will become the new presentation form for big human behavior data.
Proceedings ArticleDOI
Handling Uncertainty in Geo-Spatial Data
Andreas Züfle,Goce Trajcevski,Dieter Pfoser,Matthias Renz,Matthew T. Rice,Timothy F. Leslie,Paul L. Delamater,Tobias Emrich +7 more
TL;DR: This interdisciplinary tutorial bridges the gap between the two communities by providing a comprehensive overview of the different challenges involved in dealing with uncertain geo-spatial data, by surveying solutions from both research communities, and by identifying similarities, synergies and open research problems.
Journal ArticleDOI
Towards fusing uncertain location data from heterogeneous sources
TL;DR: A formal model for capturing the whereabouts in time in this setting is developed and the Fused Bead model is proposed, extending the bead model based solely on GPS locations, which may eliminate up to 26 % of the false positives in the Beijing taxi data, and up to 40 % in the larger synthetic dataset, when compared to using the traditional bead uncertainty models.
References
More filters
Book
Big data: The next frontier for innovation, competition, and productivity
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
Journal ArticleDOI
Incomplete Information in Relational Databases
Tomasz Imielinski,Witold Lipski +1 more
TL;DR: There are precise conditions that should be satisfied in a semantically meaningful extension of the usual relational operators, such as projection, selection, union, and join, from operators on relations to operators on tables with “null values” of various kinds allowed.
Journal ArticleDOI
Indexing the positions of continuously moving objects
TL;DR: A novel, R*-tree based indexing technique that supports the efficient querying of the current and projected future positions of moving objects and is capable of indexing objects moving in one-, two-, and three-dimensional space is proposed.
Journal ArticleDOI
A Completeness Theorem in Modal Logic
TL;DR: The present paper attempts to state and prove a completeness theorem for the system S5 of [1], supplemented by first-order quantifiers and the sign of equality.
BookDOI
Computing with Spatial Trajectories
Yu Zheng,Xiaofang Zhou +1 more
TL;DR: This book presents an overview on both fundamentals and the state-of-the-art research inspired by spatial trajectory data, as well as a special focus on trajectory pattern mining, spatio-temporal data mining and location-based social networks.