نتایج جستجو برای: truth discovery

تعداد نتایج: 162764  

Journal: :CoRR 2016
Luyang Li Bing Qin Wenjing Ren Ting Liu

Truth discovery is to resolve conflicts and find the truth from multiple-source statements. Conventional methods mostly research based on the mutual effect between the reliability of sources and the credibility of statements, however, pay no attention to the mutual effect among the credibility of statements about the same object. We propose memory network based models to incorporate these two i...

Journal: :IEICE Transactions on Information and Systems 2019

Journal: :IEEE Transactions on Knowledge and Data Engineering 2019

Journal: :Autonomous Agents and Multi-Agent Systems 2022

Abstract The problem of truth discovery , i.e., trying to find the true facts concerning a number objects based on reports from various information sources unknown trustworthiness, has received increased attention recently. is made interesting by fact that relative believability depends trustworthiness their sources, which in turn report. Several algorithms for have been proposed, but evaluatio...

Journal: :CoRR 2017
Xiu Susie Fang Quan Z. Sheng Xianzhi Wang Anne H. H. Ngu

The Big Data era features a huge amount of data that are contributed by numerous sources and used bymany critical data-driven applications. Due to the varying reliability of sources, it is common to see conflicts among the multi-source data, making it difficult to determine which data sources to trust. Recently, truth discovery has emerged as a means of addressing this challenging issue by dete...

2017
Xiu Susie Fang Quan Z. Sheng Xianzhi Wang Anne H. H. Ngu

A fundamental issue with current truth discovery methods is that they generally assume only one true value for each object, while in reality objects may have multiple true values. We propose a graph-based approach, called SmartMTD, to relax this assumption in truth discovery. SmartMTD models and quantifies two types of source relations to estimate source reliability precisely and to detect mali...

Journal: :IEEE Transactions on Knowledge and Data Engineering 2016

2017
Chao Huang Dong Wang Nitesh Chawla

Social sensing is a new big data application paradigm for Cyber-Physical Systems (CPS), where a group of individuals volunteer (or are recruited) to report measurements or observations about the physical world at scale. A fundamental challenge in social sensing applications lies in discovering the correctness of reported observations and reliability of data sources without prior knowledge on ei...

Journal: :Journal of Physics: Conference Series 2021

Journal: :PVLDB 2014
Qi Li Yaliang Li Jing Gao Lu Su Bo Zhao Murat Demirbas Wei Fan Jiawei Han

In many real world applications, the same item may be described by multiple sources. As a consequence, conflicts among these sources are inevitable, which leads to an important task: how to identify which piece of information is trustworthy, i.e., the truth discovery task. Intuitively, if the piece of information is from a reliable source, then it is more trustworthy, and the source that provid...

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