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2019
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)
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AI-Tutor: Generating Tailored Remedial Questions and Answers
Based on Cognitive Diagnostic Assessment
37
Sparse Multi-Graph Ranking towards Social Image Retrieval
38
Computer-based Large-scale ...
42
Research and Analysis of User Behavior Fingerprint on Security
Situational Awareness Based on DNS Log
43
The Multi-product Newsvendor Problem: Review and Extensions
44
An Integration Method ...
doi:10.1109/besc48373.2019.8963202
fatcat:6vphrvvwpbac3frzixtnyi7g4u
Copyrightpage
2019
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)
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Research progress and Application of Behavior Tree Technology Ruifeng Liu, Jiasheng Wang, Haolong Zhang and Mengfan Tian Research and Analysis of User Behavior Fingerprint on Security Situational Awareness ...
@163.com
2019-09-08
IEEE
20
The Dynamic Factors of Guangdong's Economic Growth from the
Perspective of Supply-side Reform
Ziyu Xu and Jin Wu
470050180@qq.com
2019-09-10
IEEE
22
Improved GA ...
doi:10.1109/besc48373.2019.8963144
fatcat:dhrec3nxefgqxoyzmrf43bd5jm
Program
2019
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)
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After a brief presentation of these megatrends and their potential for future full deployment, the presentation moves on to examine the potential socio-economic implications of the 4 CASE megatrends. ...
The main objective is to investigate the problems associated with the smooth introduction of autonomous transport services in the (conventional) urban traffic and the socio-economic implications that such ...
doi:10.1109/besc48373.2019.8963347
fatcat:qdcitnnnxvdi3okxvfqx4j46te
Author Index
2019
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)
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The 6 International Conference on Behavioral, Economic, and Socio-Cultural Computing Jian Guo
5-1-4
Jianbo Gao
3-2,15-2
Jianming Yong
8-1,8-2
Jianping Fan
1-1,10-3
Jiasheng Wang
6-2-2
Jie ...
doi:10.1109/besc48373.2019.8963227
fatcat:mfqkljvuqveelmdg64su6vnlx4
Copyright Page
2018
2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC)
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Their inclusion in this publication does not necessarily constitute endorsement by the editors, the IEEE Computer Society, or the Institute of Electrical and Electronics Engineers, Inc. ...
They reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. ...
doi:10.1109/besc.2018.8697306
fatcat:fl7mtblrp5apvmiqnpjmv4vilm
Taxpayer Behavior Prediction in SMS Campaigns
2018
2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC)
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These businesses have been selected for a pre-emptive SMS reminder campaign and prediction models are used to predict the probability of on-time payment. ...
Through experiments on a real world taxation debt dataset, it is found that the XGBoost algorithm significantly outperforms random forest, decision tree and logistic regression algorithms. ...
Analytic approaches included risk analysis and risk ranking for predicting insolvency risk and payment behavior. ...
doi:10.1109/besc.2018.8697317
dblp:conf/besc/CaoDKWX18
fatcat:abb4yjtanjbpjgdweqdsr6jlai
Research Performance Reporting is Fallacious
2018
2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC)
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The methods used to categorize research and researchers are misleading and somewhat arbitrary. ...
A subject area comparison using research field distributions and networks between a 'reference author', bibliographically coupled data, keyword-obtained data, social science data and highly cited social ...
researchers working in fields such as mathematics and education; this is a reflection of research culture, and not performance". ...
doi:10.1109/besc.2018.8697265
dblp:conf/besc/ButlerXM18
fatcat:v43cotzzzvevvkhitogzytrwz4
Classifying sybil in MSNs using C4.5
2016
2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)
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Calculated gain and maxGain helped to trace some sybil users in the datasets. ...
Using classification and regression for sybil detection is a very challenging task. ...
If the resulting subset is large and pure then it's good and if the resulting subset is small and impure then it's bad. ...
doi:10.1109/besc.2016.7804499
dblp:conf/besc/ChinchoreXJ16
fatcat:3kmramj2dzh3pacwzpaibgzgxa
Understanding the evolutionary dynamics and adaptation of complex networks
2014
2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2014)
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., cumulative advantage, embedding, multi-connectivity, homophily); and self-organized network behavior. ...
Theories and hypotheses from the intersection of network theories, evolutionary theories and complex adaptive systems are drawn and synthesized. ...
modelling, and economics. ...
doi:10.1109/besc.2014.7059516
dblp:conf/besc/Abbasi14
fatcat:a5dbqiqccrflxfobymmiypvvle
Coupled behavioral analysis for user preference-based email spamming
2016
2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)
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In this paper, we develop and implement a new email spamming system leveraged by coupled text similarity analysis on user preference and a virtual meta-layer user-based email network, we take the social ...
Social network has essentially a large number of accounts features and attributes to be considered. ...
By doing this, the computation of is unnecessary and reduce the computation cost enormously. ...
doi:10.1109/besc.2016.7804482
dblp:conf/besc/JiangGXX16
fatcat:nlevmt73cvaq3mpxjaxrkz43hy
Towards simplified insurance application via sparse questionnaire optimization
2017
2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)
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Life insurance application requires in-person meetings with underwriters, tedious paperwork, and an average waiting period of six weeks before an offer can be made. ...
. † School of Computer Engineering and Science, Shanghai University. ...
Fig. 1 . 1 Impact of Questions pair of questions q i and q j within question set Q: ...
doi:10.1109/besc.2017.8256362
dblp:conf/besc/LiuXZZ17
fatcat:alhhym3h25herbn5okmz3dl6cu
On the importance of considering social capitalism when measuring influence on Twitter
2014
2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2014)
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To that aim, we crawled the Twitter network to gather examples of certified social capitalists and regular users and obtained features related to the profile and behavior of each user. ...
However, the algorithms behind them are kept secret and it is not clear how they consider influence. ...
Given the screen name of a Twitter user, the application computes some of the aforementioned features and then makes use of the Logistic Regression classifier to compute the probability that this user ...
doi:10.1109/besc.2014.7059501
fatcat:5l4tnyqianb3fkie5jbr4xhkla
Prediction and Analysis of Rumour's Impact on Social Media
2019
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)
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For rumour d i (1 i N ) in D, we can compute the value of importance (I i ), ambiguity (A i ) and public critical ability (C i ). ...
And then we filter out the top 1000 keywords with higher IG and utilize their TF-IDF a,i values as TF-IDF features. Word to Vector features are then computed using Gensim 5 on the top 1000 keywords. ...
doi:10.1109/besc48373.2019.8963595
dblp:conf/besc/YinLLX19
fatcat:bjtcn53rebfthghlojbhdcaaje
The volatility of Bitcoin returns and its correlation to financial markets
2017
2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)
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The fitted parametric time series model significantly outperforms other standard models in explaining the stylized facts and statistical variances in the behavior of Bitcoin returns. ...
This paper utilizes knowledge of statistics for financial time series and machine learning to (i) fit the parametric distribution and (ii) model and forecast the volatility of Bitcoin returns, and (iii ...
ACKNOWLEDGMENT We would like to express our sincere gratitude to Advanced Analytics Institute at University of Technology Sydney for creating the strong research-oriented culture and collaborated environment ...
doi:10.1109/besc.2017.8256365
dblp:conf/besc/VoX17
fatcat:tmscn3sgcjau3dqbk2anfn6fni
Latent factor analysis for low-dimensional implicit preference prediction
2017
2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)
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Nevertheless, real-world data are often in implicit format, such as purchase action, and the number of items is not always large. ...
In this paper, we demonstrate the use of latent factor models for solving the task of predicting user preferences on implicit and low-dimensional dataset. ...
While implicit user feedback data can be automatically collected from many user behaviors including user purchase items and user click webpages. ...
doi:10.1109/besc.2017.8256380
dblp:conf/besc/ZhouXZL17
fatcat:zead4ntvzbe4ph7axn73gd3b4i
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