SuPoolVisor: a visual analytics system for mining pool surveillance

Jia-zhi XIA; Yu-hong ZHANG; Hui YE; Ying WANG; Guang JIANG; Ying ZHAO; Cong XIE; Xiao-yan KUI; Sheng-hui LIAO; Wei-ping WANG

doi:10.1631/FITEE.1900532

Your Location：

Home >

Browse articles >

SuPoolVisor: a visual analytics system for mining pool surveillance

Special Feature on Artificial Intelligence for Visualization | Updated：2022-05-19

- SuPoolVisor: a visual analytics system for mining pool surveillance
- SuPoolVisor：矿池监管可视分析系统
- Frontiers of Information Technology & Electronic Engineering Vol. 21, Issue 4, Pages: 507-523(2020)
- Affiliations：
  
  School of Computer Science and Engineering, Central South University, Changsha 410083, China
  Facebook, New York 10003, USA
- Author bio：
  
  [ "Jia-zhi XIA, E-mail: xiajiazhi@csu.edu.cn" ]
  [ "Yu-hong ZHANG, E-mail: zhangyuhong@csu.edu.cn" ]
  Ying ZHAO, E-mail:zhaoying@csu.edu.cn
- Funds：
- DOI：10.1631/FITEE.1900532
  CLC： TP39
- Received：28 September 2019，
  
  Revised：2020-;3-;6，
  
  Published：2020-04
- Accepted：
Scan QR Code
Jia-zhi XIA, Yu-hong ZHANG, Hui YE, et al. SuPoolVisor: a visual analytics system for mining pool surveillance[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(4): 507-523.
DOI：

Jia-zhi XIA, Yu-hong ZHANG, Hui YE, et al. SuPoolVisor: a visual analytics system for mining pool surveillance[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(4): 507-523. DOI： 10.1631/FITEE.1900532.

摘要

在过去十年中，以比特币为代表的加密货币充分展示其在支付和货币系统中的巨大优势与潜力。矿池被认为是比特币的来源，也是市场稳定的基石。对矿池的监管可帮助监管机构有效评估比特币的整体健康状况。但是，矿池匿名性和分析海量交易的难度限制了更深入的分析。此外，对多源异构数据直观和全面的监管也是一个挑战。本文设计并实现一个交互式可视分析系统SuPoolVisor，它可对矿池进行可视化监管，并支持使用可视推理对矿池去匿名化。SuPoolVisor支持矿池和地址两个级别的分析。在矿池级别，使用排序的河流图呈现矿池算力随时间演变情况，并在其他两个视图中设计特殊图形以说明矿池的影响范围和矿池成员迁移。在地址级别，使用力导向图和大规模序列视图呈现矿池中的动态地址网络。特别地，这两个视图与Radviz视图的组合，可用于矿池成员去匿名化的迭代可视推理过程，这些视图都提供了用于跨视图分析和标识的交互功能。我们与该领域专家紧密合作完成3个真实案例，并在案例中证明SuPoolVisor的有效性和可用性。

Abstract

Cryptocurrencies represented by Bitcoin have fully demonstrated their advantages and great potential in payment and monetary systems during the last decade. The mining pool

which is considered the source of Bitcoin

is the cornerstone of market stability. The surveillance of the mining pool can help regulators effectively assess the overall health of Bitcoin and issues. However

the anonymity of mining-pool miners and the difficulty of analyzing large numbers of transactions limit in-depth analysis. It is also a challenge to achieve intuitive and comprehensive monitoring of multi-source heterogeneous data. In this study

we present SuPoolVisor

an interactive visual analytics system that supports surveillance of the mining pool and de-anonymization by visual reasoning. SuPoolVisor is divided into pool level and address level. At the pool level

we use a sorted stream graph to illustrate the evolution of computing power of pools over time

and glyphs are designed in two other views to demonstrate the influence scope of the mining pool and the migration of pool members. At the address level

we use a force-directed graph and a massive sequence view to present the dynamic address network in the mining pool. Particularly

these two views

together with the Radviz view

support an iterative visual reasoning process for de-anonymization of pool members and provide interactions for cross-view analysis and identity marking. Effectiveness and usability of SuPoolVisor are demonstrated using three cases

in which we cooperate closely with experts in this field.

关键词

Keywords

references

W Aigner , , , S Miksch , , , H Schumann , , , 等 . . Visualization of Time-Oriented Data , , : : UK Springer, London , , 2011 . . .

S Athey , , , I Parashkevov , , , V Sarukkai , , , 等 . . Bitcoin Pricing, Adoption, and Usage: Theory and Evidence , , : : USA Research Papers 3469, Stanford University, San Francisco , , 2016 . . .

J Barkatullah , , , T Hanke . . Goldstrike 1: CoinTerra's first-generation cryptocurrency mining processor for Bitcoin . . IEEE Micro , , 2015 . . 35 ( ( 2 ): ): 68 - - 76 . . DOI: 10.1109/MM.2015.13 http://doi.org/10.1109/MM.2015.13 . .

M Belotti , , , S Kirati , , , S Secci . . Bitcoin pool-hopping detection . . Proc IEEE 4 th Int Forum on Research and Technology for Society and Industry , , 2018 . . p. 1 - - 6 . . DOI: 10.1109/RTSI.2018.8548376 http://doi.org/10.1109/RTSI.2018.8548376 . .

S Bistarelli , , , F Santini . . Go with the Bitcoin flow, with visual analytics . . Proc 12 th Int Conf on Availability, Reliability and Security, Article 38 , , 2017 . . .

R Böhme , , , N Christin , , , B Edelman , , , 等 . . Bitcoin: economics, technology, and governance . . J Econom Persp , , 2015 . . 29 ( ( 2 ): ): 213 - - 238 . . DOI: 10.1257/jep.29.2.213 http://doi.org/10.1257/jep.29.2.213 . .

J Bohr , , , M Bashir . . Who uses Bitcoin. An exploration of the Bitcoin community . . Proc 12 th Annual Int Conf on Privacy, Security and Trust , , 2014 . . p. 94 - - 101 . . DOI: 10.1109/PST.2014.6890928 http://doi.org/10.1109/PST.2014.6890928 . .

HD Chen , , , W Chen , , , HH Mei , , , 等 . . Visual abstraction and exploration of multi-class scatterplots . . IEEE Trans Vis Comput Graph , , 2014 . . 20 ( ( 12 ): ): 1683 - - 1692 . . DOI: 10.1109/TVCG.2014.2346594 http://doi.org/10.1109/TVCG.2014.2346594 DOI: 10.1109/TVCG.2014.2346594 http://doi.org/10.1109/TVCG.2014.2346594 . .

SM Chen , , , J Li , , , G Andrienko , , , 等 . . Supporting story synthesis: bridging the gap between visual analytics and storytelling . . IEEE Trans Vis Comput Graph , , 2018 . . 14 ( ( 8 ): ): 1 DOI: 10.1109/TVCG.2018.2889054 http://doi.org/10.1109/TVCG.2018.2889054 . .

W Chen , , , TY Lao , , , J Xia , , , 等 . . Gameflow: narrative visualization of NBA basketball games . . IEEE Trans Multim , , 2016 . . 18 ( ( 11 ): ): 2247 - - 2256 . . DOI: 10.1109/TMM.2016.2614221 http://doi.org/10.1109/TMM.2016.2614221 . .

W Chen , , , ZS Huang , , , FR Wu , , , 等 . . Vaud: a visual analysis approach for exploring spatio-temporal urban data . . IEEE Trans Vis Comput Graph , , 2018a . . 24 ( ( 9 ): ): 2636 - - 2648 . . DOI: 10.1109/TVCG.2017.2758362 http://doi.org/10.1109/TVCG.2017.2758362 . .

W Chen , , , J Xia , , , XM Wang , , , 等 . . RelationLines: visual reasoning of egocentric relations from heterogeneous urban data . . ACM Trans Intell Syst Technol , , 2018b . . 10 ( ( 1 ): ): 2 DOI: 10.1145/3200766 http://doi.org/10.1145/3200766 . .

W Chen , , , FZ Guo , , , DM Han , , , 等 . . Structure-based suggestive exploration: a new approach for effective exploration of large networks . . IEEE Trans Vis Comput Graph , , 2019 . . 25 ( ( 1 ): ): 555 - - 565 . . DOI: 10.1109/TVCG.2018.2865139 http://doi.org/10.1109/TVCG.2018.2865139 . .

G Di Battista , , , V Di Donato , , , M Patrignani , , , 等 . . Bitconeview: visualization of flows in the Bitcoin transaction graph . . Proc IEEE Symp on Visualization for Cyber Security , , 2015 . . p. 1 - - 8 . . DOI: 10.1109/VIZSEC.2015.7312773 http://doi.org/10.1109/VIZSEC.2015.7312773 . .

M Fleder , , , MS Kester , , , S Pillai . . Bitcoin transaction graph analysis . . 2015 . . .

AE Gencer , , , S Basu , , , I Eyal , , , 等 . . Decentralization in Bitcoin and Ethereum networks . . Proc 22nd Int Conf on Financial Cryptography and Data Security , , 2018 . . p. 439 - - 457 . . DOI: 10.1007/978-3-662-58387-6_24 http://doi.org/10.1007/978-3-662-58387-6_24 . .

P Hoffman , , , G Grinstein , , , K Marx , , , 等 . . DNA visual and analytic data mining . . Proc 8th IEEE Visualization Conf , , 1997 . . p. 437 - - 441 . . DOI: 10.1109/VISUAL.1997.663916 http://doi.org/10.1109/VISUAL.1997.663916 . .

P Isenberg , , , C Kinkeldey , , , JD Fekete . . Exploring entity behavior on the Bitcoin blockchain , , : : France Université Paris-Saclay, Paris , , 2017 . . .

L Jie , , , SM Chen , , , K Zhang , , , 等 . . COPE: interactive exploration of co-occurrence patterns in spatial time series . . IEEE Trans Vis Comput Graph , , 2019 . . 25 ( ( 8 ): ): 2554 - - 2567 . . DOI: 10.1109/TVCG.2018.2851227 http://doi.org/10.1109/TVCG.2018.2851227 . .

YB Kim , , , JG Kim , , , W Kim , , , 等 . . Predicting fluctuations in cryptocurrency transactions based on user comments and replies . . PLoS ONE , , 2016 . . 11 ( ( 8 ): ): e0161197 DOI: 10.1371/journal.pone.0161197 http://doi.org/10.1371/journal.pone.0161197 . .

C Kinkeldey , , , JD Fekete , , , P Isenberg . . BitConduite: visualizing and analyzing activity on the Bitcoin network . . Eurographics Conf on Visualization , , 2017 . . p. 3 DOI: 10.2312/eurp20171160 http://doi.org/10.2312/eurp20171160 . .

M Kiran , , , M Stannett . . Bitcoin Risk Analysis . . NEMODE Policy Paper , , 2015 . . p. 1 - - 28 . . . .

D Kirsh . . Projection, problem space, and anchoring . . Proc 31 st Cognitive Science Society , , 2009 . . p. 2310 - - 2315 . . . .

P Koshy , , , D Koshy , , , P McDaniel . . An analysis of anonymity in Bitcoin using P2P network traffic . . Proc 18 th Int Conf on Financial Cryptography and Data Security , , 2014 . . p. 469 - - 485 . . . .

JA Kroll , , , ID Davey , , , EW Felten . . The economics of Bitcoin mining, or Bitcoin in the presence of adversaries . . Proc 12 th Workshop on the Economics of Information Security , , 2013 . . p. 1 - - 21 . . . .

Y Lewenberg , , , Y Bachrach , , , Y Sompolinsky , , , 等 . . Bitcoin mining pools: a cooperative game theoretic analysis . . Proc Int Conf on Autonomous Agents and Multiagent Systems , , 2015 . . p. 919 - - 927 . . . .

J Li , , , SM Chen , , , W Chen , , , 等 . . Semantics-space-time cube. a conceptual framework for systematic analysis of texts in space and time . . IEEE Trans Vis Comput Graph , , 2020 . . 26 ( ( 4 ): ): 1789 - - 1806 . . DOI: 10.1109/TVCG.2018.2882449 http://doi.org/10.1109/TVCG.2018.2882449 . .

MC Liu , , , JX Shi , , , Z Li , , , 等 . . Towards better analysis of deep convolutional neural networks . . IEEE Trans Vis Comput Graph , , 2017 . . 23 ( ( 1 ): ): 91 - - 100 . . DOI: 10.1109/TVCG.2016.2598831 http://doi.org/10.1109/TVCG.2016.2598831 . .

MC Liu , , , JX Shi , , , KL Cao , , , 等 . . Analyzing the training processes of deep generative models . . IEEE Trans Vis Comput Graph , , 2018 . . 24 ( ( 1 ): ): 77 - - 87 . . DOI: 10.1109/TVCG.2017.2744938 http://doi.org/10.1109/TVCG.2017.2744938 . .

SX Liu , , , WW Cui , , , YC Wu , , , 等 . . A survey on information visualization: recent advances and challenges . . Visual Comput , , 2014 . . 30 ( ( 12 ): ): 1373 - - 1393 . . DOI: 10.1007/s00371-013-0892-3 http://doi.org/10.1007/s00371-013-0892-3 . .

SX Liu , , , G Andrienko , , , YC Wu , , , 等 . . Steering data quality with visual analytics: the complexity challenge . . Vis Inform , , 2018 . . 2 ( ( 4 ): ): 191 - - 197 . . DOI: 10.1016/j.visinf.2018.12.001 http://doi.org/10.1016/j.visinf.2018.12.001 . .

ZC Liu , , , J Stasko , , , T Sullivan . . SellTrend: inter-attribute visual analysis of temporal transaction data . . IEEE Trans Vis Comput Graph , , 2009 . . 15 ( ( 6 ): ): 1025 - - 1032 . . DOI: 10.1109/TVCG.2009.180 http://doi.org/10.1109/TVCG.2009.180 . .

XN Luo , , , Y Yuan , , , KY Zhang , , , 等 . . Enhancing statistical charts: toward better data visualization and analysis . . J Vis , , 2019 . . 22 ( ( 4 ): ): 819 - - 832 . . DOI: 10.1007/s12650-019-00569-2 http://doi.org/10.1007/s12650-019-00569-2 . .

L Luu , , , R Saha , , , I Parameshwaran , , , 等 . . On power splitting games in distributed computation: the case of Bitcoin pooled mining . . Proc 28th Computer Security Foundations Symp , , 2015 . . p. 397 - - 411 . . DOI: 10.1109/CSF.2015.34 http://doi.org/10.1109/CSF.2015.34 . .

D McGinn , , , D Birch , , , D Akroyd , , , 等 . . Visualizing dynamic Bitcoin transaction patterns . . Big Data , , 2016 . . 4 ( ( 2 ): ): 109 - - 119 . . DOI: 10.1089/big.2015.0056 http://doi.org/10.1089/big.2015.0056 . .

HH Mei , , , W Chen , , , YT Wei , , , 等 . . Rsatree: distribution-aware data representation of large-scale tabular datasets for flexible visual query . . 2019 . . .

S Meiklejohn , , , C Orlandi . . Privacy-enhancing overlays in Bitcoin . . Int Conf on Financial Cryptography and Data Security , , 2015 . . p. 127 - - 141 . . DOI: 10.1007/978-3-662-48051-9_10 http://doi.org/10.1007/978-3-662-48051-9_10 . .

S Meiklejohn , , , M Pomarole , , , G Jordan , , , 等 . . A fistful of Bitcoins: characterizing payments among men with no names . . Proc Conf on Internet Measurement , , 2013 . . p. 127 - - 140 . . DOI: 10.1145/2504730.2504747 http://doi.org/10.1145/2504730.2504747 . .

T Moore , , , N Christin . . Beware the middleman: empirical analysis of Bitcoin-exchange risk . . Proc 17 th Int Conf on Financial Cryptography and Data Security , , 2013 . . p. 25 - - 33 . . DOI: 10.1007/978-3-642-39884-1_3 http://doi.org/10.1007/978-3-642-39884-1_3 . .

M Möser , , , R Böhme , , , D Breuker . . An inquiry into money laundering tools in the Bitcoin ecosystem . . Proc APWG eCrime Researchers Summit , , 2013 . . p. 1 - - 14 . . DOI: 10.1109/eCRS.2013.6805780 http://doi.org/10.1109/eCRS.2013.6805780 . .

S Nakamoto . . Bitcoin: a peer-to-peer electronic cash system . . 2008 . . .

T Neudecker , , , H Hartenstein . . Could network information facilitate address clustering in Bitcoin . . Proc Int Conf on Financial Cryptography and Data Security , , 2017 . . p. 155 - - 169 . . DOI: 10.1007/978-3-319-70278-0_9 http://doi.org/10.1007/978-3-319-70278-0_9 . .

M Ober , , , S Katzenbeisser , , , K Hamacher . . Structure and anonymity of the Bitcoin transaction graph . . Fut Int , , 2013 . . 5 ( ( 2 ): ): 237 - - 250 . . DOI: 10.3390/fi5020237 http://doi.org/10.3390/fi5020237 . .

S Ranshous , , , CA Joslyn , , , S Kreyling , , , 等 . . Exchange pattern mining in the Bitcoin transaction directed hypergraph . . Proc Int Conf on Financial Cryptography and Data Security , , 2017 . . p. 248 - - 263 . . DOI: 10.1007/978-3-319-70278-0_16 http://doi.org/10.1007/978-3-319-70278-0_16 . .

D Ron , , , A Shamir . . Quantitative analysis of the full Bitcoin transaction graph . . Proc Int Conf on Financial Cryptography and Data Security , , 2013 . . p. 248 - - 263 . . DOI: 10.1007/978-3-319-70278-0_16 http://doi.org/10.1007/978-3-319-70278-0_16 . .

M Spagnuolo , , , F Maggi , , , S Zanero . . Bitiodine: extracting intelligence from the Bitcoin network . . Proc 18 th Int Conf on Financial Cryptography and Data Security , , 2014 . . p. 457 - - 468 . . DOI: 10.1007/978-3-662-45472-5_29 http://doi.org/10.1007/978-3-662-45472-5_29 . .

M Vasek , , , T Moore . . There's no free lunch, even using Bitcoin: tracking the popularity and profits of virtual currency scams . . Proc 19 th Int Conf on Financial Cryptography and Data Security , , 2015 . . p. 44 - - 61 . . DOI: 10.1007/978-3-662-47854-7_4 http://doi.org/10.1007/978-3-662-47854-7_4 . .

M Vasek , , , M Thornton , , , T Moore . . Empirical analysis of denial-of-service attacks in the Bitcoin ecosystem . . Proc Int Conf on Financial Cryptography and Data Security , , 2014 . . p. 57 - - 71 . . DOI: 10.1007/978-3-662-44774-1_5 http://doi.org/10.1007/978-3-662-44774-1_5 . .

LQ Wang , , , Y Liu . . Exploring miner evolution in Bitcoin network . . Proc 16 th Int Conf on Passive and Active Network Measurement , , 2015 . . p. 290 - - 302 . . DOI: 10.1007/978-3-319-15509-8_22 http://doi.org/10.1007/978-3-319-15509-8_22 . .

X Wang , , , ZW Cui , , , L Jiang , , , 等 . . WordleNet: a visualization approach for relationship exploration in document collection . . Tsinghua Sci Technol , , 2020 . . 25 ( ( 3 ): ): 384 - - 400 . . DOI: 10.26599/TST.2019.9010005 http://doi.org/10.26599/TST.2019.9010005 . .

XM Wang , , , JK Chou , , , W Chen , , , 等 . . A utility-aware visual approach for anonymizing multi-attribute tabular data . . IEEE Trans Vis Comput Graph , , 2018 . . 24 ( ( 1 ): ): 351 - - 360 . . DOI: 10.1109/TVCG.2017.2745139 http://doi.org/10.1109/TVCG.2017.2745139 . .

XM Wang , , , W Chen , , , JK Chou , , , 等 . . GraphProtector: a visual interface for employing and assessing multiple privacy preserving graph algorithms . . IEEE Trans Vis Comput Graph , , 2019 . . 25 ( ( 1 ): ): 193 - - 203 . . DOI: 10.1109/TVCG.2018.2865021 http://doi.org/10.1109/TVCG.2018.2865021 . .

JS Wei , , , ZQ Shen , , , N Sundaresan , , , 等 . . Visual cluster exploration of web clickstream data . . Proc IEEE Conf on Visual Analytics Science and Technology , , 2012 . . p. 3 - - 12 . . DOI: 10.1109/VAST.2012.6400494 http://doi.org/10.1109/VAST.2012.6400494 . .

YC Wu , , , X Xie , , , JC Wang , , , 等 . . ForVizor: visualizing spatio-temporal team formations in soccer . . IEEE Trans Vis Comput Graph , , 2019 . . 25 ( ( 1 ): ): 65 - - 75 . . DOI: 10.1109/TVCG.2018.2865041 http://doi.org/10.1109/TVCG.2018.2865041 DOI: 10.1109/TVCG.2018.2865041 http://doi.org/10.1109/TVCG.2018.2865041 . .

JZ Xia , , , FJ Ye , , , FF Zhou , , , 等 . . Visual identification and extraction of intrinsic axes in high-dimensional data . . IEEE Access , , 2019 . . 7 79565 - - 79578 . . DOI: 10.1109/ACCESS.2019.2922997 http://doi.org/10.1109/ACCESS.2019.2922997 . .

C Xie , , , W Chen , , , XX Huang , , , 等 . . VAET: a visual analytics approach for e-transactions time-series . . IEEE Trans Vis Comput Graph , , 2014 . . 20 ( ( 12 ): ): 1743 - - 1752 . . DOI: 10.1109/TVCG.2014.2346913 http://doi.org/10.1109/TVCG.2014.2346913 . .

Z Ying , , , XB Luo , , , XR Lin , , , 等 . . Visual analytics for electromagnetic situation awareness in radio monitoring and management . . IEEE Trans Vis Comput Graph , , 2019 . . 26 ( ( 1 ): ): 590 - - 600 . . DOI: 10.1109/TVCG.2019.2934655 http://doi.org/10.1109/TVCG.2019.2934655 . .

J Yli-Huumo , , , D Ko , , , S Choi , , , 等 . . Where is current research on blockchain technology.-a systematic review . . PLoS ONE , , 2016 . . 11 ( ( 10 ): ): e0163477 DOI: 10.1371/journal.pone.0163477 http://doi.org/10.1371/journal.pone.0163477 . .

XW Yue , , , XH Shu , , , XY Zhu , , , 等 . . Bitextract: interactive visualization for extracting Bitcoin exchange intelligence . . IEEE Trans Vis Comput Graph , , 2019 . . 25 ( ( 1 ): ): 162 - - 171 . . DOI: 10.1109/TVCG.2018.2864814 http://doi.org/10.1109/TVCG.2018.2864814 . .

W Zeng , , , CW Fu , , , SM Arisona , , , 等 . . A visual analytics design for studying rhythm patterns from human daily movement data . . Vis Inform , , 2017 . . 1 ( ( 2 ): ): 81 - - 91 . . DOI: 10.1016/j.visinf.2017.07.001 http://doi.org/10.1016/j.visinf.2017.07.001 . .

Y Zhao , , , F Luo , , , MH Chen , , , 等 . . Evaluating multidimensional visualizations for understanding fuzzy clusters . . IEEE Trans Vis Comput Graph , , 2019 . . 25 ( ( 1 ): ): 12 - - 21 . . DOI: 10.1109/TVCG.2018.2865020 http://doi.org/10.1109/TVCG.2018.2865020 . .

Y Zhao , , , L Wang , , , SJ Li , , , 等 . . A visual analysis approach for understanding durability test data of automotive products . . ACM Trans Intell Syst Technol , , 2020 . . 10 ( ( 6 ): ): 1 - - 23 . . DOI: 10.1145/3345640 http://doi.org/10.1145/3345640 . .

FF Zhou , , , XR Lin , , , C Liu , , , 等 . . A survey of visualization for smart manufacturing . . J Vis , , 2019 . . 22 ( ( 2 ): ): 419 - - 435 . . DOI: 10.1007/s12650-018-0530-2 http://doi.org/10.1007/s12650-018-0530-2 . .

ZG Zhou , , , ZF Ye , , , YN Liu , , , 等 . . Visual analytics for spatial clusters of air-quality data . . IEEE Comput Graph Appl , , 2017 . . 37 ( ( 5 ): ): 98 - - 105 . . DOI: 10.1109/MCG.2017.3621228 http://doi.org/10.1109/MCG.2017.3621228 . .

ZG Zhou , , , LH Meng , , , C Tang , , , 等 . . Visual abstraction of large scale geospatial origin-destination movement data . . IEEE Trans Vis Comput Graph , , 2019 . . 25 ( ( 1 ): ): 43 - - 53 . . DOI: 10.1109/TVCG.2018.2864503 http://doi.org/10.1109/TVCG.2018.2864503 . .

ZG Zhou , , , XL Zhang , , , ZY Guo , , , 等 . . Visual abstraction and exploration of large-scale geographical social media data . . Neurocomputing , , 2020 . . 376 244 - - 255 . . DOI: 10.1016/j.neucom.2019.10.072 http://doi.org/10.1016/j.neucom.2019.10.072 . .

MF Zhu , , , W Chen , , , JZ Xia , , , 等 . . Location2vec: a situation-aware representation for visual exploration of urban locations . . IEEE Trans Intell Transp Syst , , 2019 . . 20 ( ( 10 ): ): 3891 - - 3990 . . DOI: 10.1109/TITS.2019.2901117 http://doi.org/10.1109/TITS.2019.2901117 . .

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

A survey on large language model-based alpha mining

Interactive visual labelling versus active learning: an experimental comparison

RCAnalyzer: visual analytics of rare categories in dynamic networks

Related Author

Yuchen SHI

Tongzhe ZHANG

Shuoling LIU

Junjie ZHANG

BERNARD Jürgen

SCHRECK Tobias

ANDREWS Keith

SOURIN Alexei

Related Institution

College of Computing and Data Science, Nanyang Technological University

E Fund Management Co., Ltd.

Department of Industrial Systems Engineering and Management, National University of Singapore

Institute of Computer Graphics and Knowledge Visualisation, Graz University of Technology, Graz

School of Computer Science and Engineering, Nanyang Technological University

Chat

Address：Zhejiang University Press, 148 Tianmushan Road, Hangzhou, China Postal code：310028
Tel：+86-571-88273162 Email：fitee@zju.edu.cn
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰