The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Solving Data Mining Problems Using Pattern Recognition Software with Cdrom
Solving Data Mining Problems Using Pattern Recognition Software with Cdrom
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
IEEE Transactions on Knowledge and Data Engineering
CenWits: a sensor-based loosely coupled search and rescue system using witnesses
Proceedings of the 3rd international conference on Embedded networked sensor systems
CarTel: a distributed mobile sensor computing system
Proceedings of the 4th international conference on Embedded networked sensor systems
Diffusion dynamics in small-world networks with heterogeneous consumers
Computational & Mathematical Organization Theory
IEEE Pervasive Computing
The BikeNet mobile sensing system for cyclist experience mapping
Proceedings of the 5th international conference on Embedded networked sensor systems
Truth Discovery with Multiple Conflicting Information Providers on the Web
IEEE Transactions on Knowledge and Data Engineering
Get another label? improving data quality and data mining using multiple, noisy labelers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Ranking-based clustering of heterogeneous information networks with star network schema
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Truth discovery and copying detection in a dynamic world
Proceedings of the VLDB Endowment
Corroborating information from disagreeing views
Proceedings of the third ACM international conference on Web search and data mining
Biketastic: sensing and mapping for better biking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Privacy-aware regression modeling of participatory sensing data
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Knowing what to believe (when you already know something)
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Global detection of complex copying relationships between sources
Proceedings of the VLDB Endowment
Semi-supervised truth discovery
Proceedings of the 20th international conference on World wide web
SourceRank: relevance and trust assessment for deep web sources based on inter-source agreement
Proceedings of the 20th international conference on World wide web
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Real-time trip information service for a large taxi fleet
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
The Sparse Regression Cube: A Reliable Modeling Technique for Open Cyber-Physical Systems
ICCPS '11 Proceedings of the 2011 IEEE/ACM Second International Conference on Cyber-Physical Systems
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Privacy-preserving reconstruction of multidimensional data maps in vehicular participatory sensing
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Recruitment framework for participatory sensing data collections
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
A Bayesian approach to discovering truth from conflicting sources for data integration
Proceedings of the VLDB Endowment
On truth discovery in social sensing: a maximum likelihood estimation approach
Proceedings of the 11th international conference on Information Processing in Sensor Networks
ACE: exploiting correlation for energy-efficient and continuous context sensing
Proceedings of the 10th international conference on Mobile systems, applications, and services
Human mobility modeling at metropolitan scales
Proceedings of the 10th international conference on Mobile systems, applications, and services
How long to wait?: predicting bus arrival time with mobile phone based participatory sensing
Proceedings of the 10th international conference on Mobile systems, applications, and services
Towards real-time summarization of scheduled events from twitter streams
Proceedings of the 23rd ACM conference on Hypertext and social media
Simulating the Diffusion of Information: An Agent-Based Modeling Approach
International Journal of Agent Technologies and Systems
Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications
ICDCS '13 Proceedings of the 2013 IEEE 33rd International Conference on Distributed Computing Systems
Hi-index | 0.00 |
This article addresses the challenge of truth discovery from noisy social sensing data. The work is motivated by the emergence of social sensing as a data collection paradigm of growing interest, where humans perform sensory data collection tasks. Unlike the case with well-calibrated and well-tested infrastructure sensors, humans are less reliable, and the likelihood that participants' measurements are correct is often unknown a priori. Given a set of human participants of unknown trustworthiness together with their sensory measurements, we pose the question of whether one can use this information alone to determine, in an analytically founded manner, the probability that a given measurement is true. In our previous conference paper, we offered the first maximum likelihood solution to the aforesaid truth discovery problem for corroborating observations only. In contrast, this article extends the conference paper and provides the first maximum likelihood solution to handle the cases where measurements from different participants may be conflicting. The article focuses on binary measurements. The approach is shown to outperform our previous work used for corroborating observations, the state-of-the-art fact-finding baselines, as well as simple heuristics such as majority voting.