6,919 Hits in 5.4 sec

A Effective Truth Discovery Algorithm with Multi-source Sparse Data [chapter]

Jiyuan Zhang, Shupeng Wang, Guangjun Wu, Lei Zhang
2018 Lecture Notes in Computer Science  
Therefore the measuring mechanism of data source will immensely affect the result and process of truth discovery.  ...  The problem to find out the truth from inconsistent information is defined as Truth Discovery. The essence of truth discovery is to estimate source quality.  ...  The core idea is that multi-source data is considered as a mixed distribution, and the credibility of the source is integrated into the probabilistic model in the form of random variables.  ... 
doi:10.1007/978-3-319-93713-7_37 fatcat:sfpax6urlrhgnjpmiflzzl2o2y

From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth [article]

Xiu Susie Fang and Quan Z. Sheng and Xianzhi Wang and Wei Emma Zhang and Anne H.H. Ngu
2017 arXiv   pre-print
Truth discovery has been widely studied in recent years as a fundamental means for resolving the conflicts in multi-source data.  ...  Empirical studies on both real-world and synthetic datasets demonstrate the effectiveness of our approach for comparing truth discovery methods.  ...  To help users determine the veracity of multi-source data, a fundamental research topic, truth discovery, has attracted broad attentions recently.  ... 
arXiv:1708.02029v1 fatcat:pb436uscm5f6xp7cn65sxv6zqy

Approximate Truth Discovery via Problem Scale Reduction

Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Xue Li, Xiaofei Xu, Lina Yao
2015 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15  
In this way, the efficiency of truth discovery is strictly confined by the problem scale, which in turn limits truth discovery algorithms from being applicable on a large scale.  ...  Our approach is applicable to most existing truth discovery algorithms.  ...  Thus, multi-source data for describing the same entity are liable to be conflicting.  ... 
doi:10.1145/2806416.2806444 dblp:conf/cikm/WangSFLXY15 fatcat:ynipce3wojhl7fqbguu75cgvnm

Multi-Part Pattern Analysis: Combining Structure Analysis And Source Separation To Discover Intra-Part Repeated Sequences

Jordan B. L. Smith, Masataka Goto
2017 Zenodo  
EVALUATION FRAMEWORK Data and Ground Truth To test the quality of a multi-part pattern analysis algorithm, we need audio files with multiple layers, with each layer annotated to indicate repeating patterns  ...  Figure 2 . 2 Algorithm and ground truth generation pipeline. Figure 3 . 3 Data in intermediate stages of algorithm pipeline.  ... 
doi:10.5281/zenodo.1417685 fatcat:rt4ndl2vuzfq5irz53vw7rarmy

Information Fusion for Multi-Source Material Data: Progress and Challenges

Zhou, Hong, Jin
2019 Applied Sciences  
Then, we particularly focus on the recent achievements of multi-source material data fusion. This review has a few unique features compared to previous studies.  ...  Finally, we present some open problems and future research directions for multi-source material data fusion.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/app9173473 fatcat:yq25vikkqfdflp36bqx5o3l6wu

SmartMTD: A Graph-Based Approach for Effective Multi-Truth Discovery [article]

Xiu Susie Fang and Quan Z. Sheng and Xianzhi Wang and Anne H.H. Ngu
2017 arXiv   pre-print
Recently, truth discovery has emerged as a means of addressing this challenging issue by determining data veracity jointly with estimating the reliability of data sources.  ...  SmartMTD models and quantifies two types of source relations to estimate source reliability precisely and to detect malicious agreement among sources for effective multi-truth discovery.  ...  Their experiments show that those models are effective in improving the accuracy of multi-truth discovery using existing truth discovery methods.  ... 
arXiv:1708.02018v1 fatcat:7zugbytdejautki3dlcrwsor5i

An Unsupervised Approach of Truth Discovery from Multi-Sourced Text Data

Chen Chang, Jianjun Cao, Qibin Zheng, Guojun Lv, Nianfeng Weng, Xiaoxiong Zhang, Hongmei Li
2019 IEEE Access  
Truth discovery methods aim to identify which piece of information is trustworthy from multi-sourced data.  ...  INDEX TERMS Data quality, truth discovery, graph convolutional network, data mining.  ...  RELATED WORK A. TRUTH DISCOVERY FROM STRUCTURED DATA Truth discovery aims to extract trustworthy information from conflicting multi-sourced data.  ... 
doi:10.1109/access.2019.2934469 fatcat:anbtbr6puzd65akeo5f6mlshya

Truth Discovery in Big Data Social Media Sensing Applications

We propose a Big Data Truth Discovery Scheme (BDTD) to overcome the major problems.  ...  The detection of truthful information amid data provided by online social media platforms (e.g., Twitter, Facebook, Instagram) is a critical task in the trend of big data.  ...  The results showed us that our scheme outperforms all other schemes with a high margin in terms of execution time, scalability, truth discovery, and effectiveness.  ... 
doi:10.35940/ijitee.h6311.069820 fatcat:i47h6s676nf2pmz7f6hjqzzdwe

A Brief Review on scheduling algorithms of MapReduce Optimization Techniques

R Lavanya, Jeevanshu Malhotra, Rajeshwari Swaminathan
2019 Journal of Physics, Conference Series  
Scheduling algorithms of MapReduce model using hadoop vary with design and behaviour, and are used for handling many issues like data locality, awareness with resource, energy and time.  ...  With the increase in size and complexity if modern datasets, the world is faced with new challenges in the automation and scalability of the very large data sets.  ...  A truth discovery scheme is implemented which provides confidence to the data sources.  ... 
doi:10.1088/1742-6596/1362/1/012001 fatcat:ikw7wxziybbm7e2eph2xkgtif4

Discovering visual concept structure with sparse and incomplete tags

Jingya Wang, Xiatian Zhu, Shaogang Gong
2017 Artificial Intelligence  
In this work, we develop a method for modelling the inherent visual data concept structures based on a novel Hierarchical-Multi-Label Random Forest model capable of correlating structured visual and tag  ...  processing the fast-growing amount of multi-media data.  ...  (II) We introduce a unified tag dependency based algorithm to cope with the tag sparseness and incompleteness problem.  ... 
doi:10.1016/j.artint.2017.05.002 fatcat:m2f74aslozdxpeyyqpilyrjhra

Finding human gene-disease associations using a Network Enhanced Similarity Search (NESS) of multi-species heterogeneous functional genomics data [article]

Timothy Reynolds, Jason A Bubier, Michael A Langston, Elissa J Chesler, Erich J Baker
2020 bioRxiv   pre-print
NESS employs a random walk with restart algorithm across harmonized multi-species data, effectively compensating for sparsely populated and noisy genomic studies.  ...  multi-species networks of heterogeneous data to bridge sparsely populated datasets.  ...  among sparsely 379 annotated concepts, and we developed and examined the effectiveness of NESS, a 380 A B Figure 6 .  ... 
doi:10.1101/2020.03.11.987552 fatcat:cxiva6iliffergyrhnltvzrg24

Truth Discovery to Resolve Object Conflicts in Linked Data [article]

Wenqiang Liu
2017 arXiv   pre-print
To address this challenge, we propose a novel approach called TruthDiscover to identify the truth in Linked Data with a scale-free property.  ...  However, the effectiveness of existing truth discovery methods is significantly affected by the number of objects provided by each source.  ...  (ii) A truth discovery approach called TruthDiscover is proposed to identify the truth in Linked Data with a scalefree property.  ... 
arXiv:1509.00104v8 fatcat:fyaoc4mipbe6ddter3ydv7nuj4

Community Discovery on Multi-View Social Networks via Joint Regularized Nonnegative Matrix Triple Factorization

Liangliang ZHANG, Longqi YANG, Yong GONG, Zhisong PAN, Yanyan ZHANG, Guyu HU
2017 IEICE transactions on information and systems  
In multi-view social networks field, a flexible Nonnegative Matrix Factorization (NMF) based framework is proposed which integrates multi-view relation data and feature data for community discovery.  ...  Benefit with a relaxed pairwise regularization and a novel orthogonal regularization, it outperforms the-state-of-art algorithms on five real-world datasets in terms of accuracy and NMI.  ...  These results support our claim that the proposed JoNMTF-P algorithm is useful when dealing with multiple types of data sources.  ... 
doi:10.1587/transinf.2017edp7004 fatcat:3kctzlcjrzazbl4gxswzemztba

Superiorization-based multi-energy CT image reconstruction

Q Yang, W Cong, G Wang
2017 Inverse Problems  
Then, we compare the proposed superiorized algorithm with the Split-Bregman algorithm in numerical experiments.  ...  This methodology can be applied to multi-energy CT image reconstruction with the regularization in terms of the prior rank, intensity and sparsity model (PRISM).  ...  Clearly, the multi-energy image reconstruction needs to handle high data noise and low SNR, and can benefit from utilizing sparse structures and data redundancy among different energy bins.  ... 
doi:10.1088/1361-6420/aa5e0a pmid:28983142 pmcid:PMC5625635 fatcat:4nyrixs4hbg4tfwcb6igzx2qgu

SVM-Based Spectral Analysis for Heart Rate from Multi-Channel WPPG Sensor Signals

Jiping Xiong, Lisang Cai, Fei Wang, Xiaowei He
2017 Sensors  
Tautan et al. [25] proposed a heart rate measurement algorithm using duel color PPG. There were six signals in the algorithm: PPG i , the five reference signals A x,y,z,M and PPG re f .  ...  In MC-SMD, a spectral matrix is constructed by using multi-channel WPPG sensor signals and simultaneous acceleration signals.  ...  Author Contributions: Jiping Xiong and Lisang Cai conceived and designed the experiments; Lisang Cai and Fei Wang performed the experiments; Lisang Cai and Fei Wang analyzed the data; Xiaowei He contributed  ... 
doi:10.3390/s17030506 pmid:28273818 pmcid:PMC5375792 fatcat:s7y77nmsujhblcz5rhyzpkxqba
« Previous Showing results 1 — 15 out of 6,919 results