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Identifying suspicious groups of affiliated-transaction-based tax evasion in big data Scopus
期刊论文 | 2019 , 477 , 508-532 | Information Sciences
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Abstract :

© 2018 Elsevier Inc. Affiliated-transaction-based tax evasion (ATTE) is a new strategy in tax evasion that is carried out via legal-like transactions between a group of companies that have heterogeneous, complex and covert interactive relationships to evade taxes. Existing studies cannot effectively detect ATTE behaviors since (i) they perform well only for determining the abnormal financial status of individuals and ineffectively address the interactive relationships among companies, (ii) they aim at detecting ATTE from the perspective of structural characteristics, which leads to a poor false-positive rate, and (iii) few of them perform well in most sectors of companies. Effectively detecting suspicious groups according to both structural characteristics of ATTE groups and business characteristics of ATTE means (BC-ATTEM) remains an open issue. In this paper, we propose an affiliated-parties interest-related network (APIRN) for modeling affiliated parties, interest-related relationships, and their properties for identifying ATTE. Then, we identify the behavioral patterns of ATTE via topological pattern abstraction from APIRN and theoretical inference of BC-ATTEM. Based on the above, we further propose a hybrid method, namely, 3TI, for identifying ATTE suspicious groups via three steps: tax rate differential detection, topological pattern matching and tax burden abnormality identification. Experimental tests that are based on two years of real-world tax data from a province in China demonstrate that 3TI can identify ATTE suspicious groups with higher accuracy and better generality than existing works. Moreover, we identify various interesting implications and provide useful guidance for ATTE inspection based on an analysis of our experimental results.

Keyword :

Affiliated transaction Big data Graph mining Tax evasion

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GB/T 7714 Ruan, Jianfei , Yan, Zheng , Dong, Bo et al. Identifying suspicious groups of affiliated-transaction-based tax evasion in big data [J]. | Information Sciences , 2019 , 477 : 508-532 .
MLA Ruan, Jianfei et al. "Identifying suspicious groups of affiliated-transaction-based tax evasion in big data" . | Information Sciences 477 (2019) : 508-532 .
APA Ruan, Jianfei , Yan, Zheng , Dong, Bo , Zheng, Qinghua , Qian, Buyue . Identifying suspicious groups of affiliated-transaction-based tax evasion in big data . | Information Sciences , 2019 , 477 , 508-532 .
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Facet Annotation by Extending CNN with a Matching Strategy. PubMed
期刊论文 | 2018 , 30 (6) , 1647-1672 | Neural computation
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Most community question answering (CQA) websites manage plenty of question-answer pairs (QAPs) through topic-based organizations, which may not satisfy users' fine-grained search demands. Facets of topics serve as a powerful tool to navigate, refine, and group the QAPs. In this work, we propose FACM, a model to annotate QAPs with facets by extending convolution neural networks (CNNs) with a matching strategy. First, phrase information is incorporated into text representation by CNNs with different kernel sizes. Then, through a matching strategy among QAPs and facet label texts (FaLTs) acquired from Wikipedia, we generate similarity matrices to deal with the facet heterogeneity. Finally, a three-channel CNN is trained for facet label assignment of QAPs. Experiments on three real-world data sets show that FACM outperforms the state-of-the-art methods.

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GB/T 7714 Wu Bei , Wei Bifan , Liu Jun et al. Facet Annotation by Extending CNN with a Matching Strategy. [J]. | Neural computation , 2018 , 30 (6) : 1647-1672 .
MLA Wu Bei et al. "Facet Annotation by Extending CNN with a Matching Strategy." . | Neural computation 30 . 6 (2018) : 1647-1672 .
APA Wu Bei , Wei Bifan , Liu Jun , Guo Zhaotong , Zheng Yuanhao , Chen Yihe . Facet Annotation by Extending CNN with a Matching Strategy. . | Neural computation , 2018 , 30 (6) , 1647-1672 .
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IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning EI Scopus
会议论文 | 2018 , 1224-1235 | 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
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Abstract :

Tax evasion detection plays a crucial role in addressing tax revenue loss. Many efforts have been made to develop tax evasion detection models by leveraging machine learning techniques, but they have not constructed a uniform model for different geographical regions because an ample supply of training examples is a fundamental prerequisite for an effective detection model. When sufficient tax data are not readily available, the development of a representative detection model is more difficult due to unequal feature distributions in different regions. Existing methods face a challenge in explaining and tracing derived results. To overcome these challenges, we propose an Inter-Region Tax Evasion Detection method based on Transfer Learning (IRTED-TL), which is optimized to simultaneously augment training data and induce interpretability into the detection model. We exploit evasion-related knowledge in one region and leverage transfer learning techniques to reinforce the tax evasion detection tasks of other regions in which training examples are lacking. We provide a unified framework that takes advantage of auxiliary data using a transfer learning mechanism and builds an interpretable classifier for inter-region tax evasion detection. Experimental tests based on real-world tax data demonstrate that the IRTED-TL can detect tax evaders with higher accuracy and better interpretability than existing methods. © 2018 IEEE.

Keyword :

Experimental test Feature distribution Interpretability Machine learning techniques Region detection Tax evasions Transfer learning Unified framework

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GB/T 7714 Zhu, Xulyu , Yan, Zheng , Ruan, Jianfei et al. IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning [C] . 2018 : 1224-1235 .
MLA Zhu, Xulyu et al. "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning" . (2018) : 1224-1235 .
APA Zhu, Xulyu , Yan, Zheng , Ruan, Jianfei , Zheng, Qinghua , Dong, Bo . IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning . (2018) : 1224-1235 .
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Measuring student's utilization of video resources and its effect on academic performance EI Scopus
会议论文 | 2018 , 196-198 | 18th IEEE International Conference on Advanced Learning Technologies, ICALT 2018
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Massive video resources were produced to meet the needs of learning knowledge and skills anytime and anywhere through internet. Therefore, whether these video resources were fully utilized by students is an important issue for schools and teachers. This paper proposes three indicators based on student's log data and course's video information to measure the utilization of video resources. In addition, the proposed indicators are applied in a case study to analyze how different utilization patterns affect students' academic performance in a large-scale online distance education context. © 2018 IEEE.

Keyword :

Academic performance Evaluation indicators Log data Online distance education Utilization patterns Video information

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GB/T 7714 He, Huan , Zheng, Qinghua , Dong, Bo et al. Measuring student's utilization of video resources and its effect on academic performance [C] . 2018 : 196-198 .
MLA He, Huan et al. "Measuring student's utilization of video resources and its effect on academic performance" . (2018) : 196-198 .
APA He, Huan , Zheng, Qinghua , Dong, Bo , Yu, Hongchao . Measuring student's utilization of video resources and its effect on academic performance . (2018) : 196-198 .
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基于新时代大数据背景下继续教育教与学变革的思考
期刊论文 | 2018 , (20) , 137-139 | 高教学刊
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Abstract :

"要办好继续教育",实现继续教育转型发展,应对即将发生的颠覆性变革,就必须深化教学改革,以学习者为中心,采用个性化教学方式及问题导向学习模式,在开放、共享、智能化学习资源的支撑下,通过"过程性"教学评价,不断提高学习者的学习能力和知识结构的更新,适应新时代社会经济发展要求,进而实现继续教育的可持续发展.

Keyword :

学习者为中心 资源供给 个性化教学 过程性评价

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GB/T 7714 柴学武 , 王晋 . 基于新时代大数据背景下继续教育教与学变革的思考 [J]. | 高教学刊 , 2018 , (20) : 137-139 .
MLA 柴学武 et al. "基于新时代大数据背景下继续教育教与学变革的思考" . | 高教学刊 20 (2018) : 137-139 .
APA 柴学武 , 王晋 . 基于新时代大数据背景下继续教育教与学变革的思考 . | 高教学刊 , 2018 , (20) , 137-139 .
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血府逐瘀汤联合西药治疗心血瘀阻型冠心病心绞痛疗效观察
期刊论文 | 2017 , (10) , 1368-1369 | 陕西中医
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目的:探讨对52例冠心病心绞痛心血瘀阻证患者采用血府逐瘀汤联合西药治疗的临床疗效.方法:将52例采用血府逐瘀汤联合西药治疗的冠心病心绞痛心血瘀阻证患者分为联合组,将同期收治的70例单独采用硝酸脂制剂、β受体阻滞剂、冠状动脉扩张剂等西药治疗的冠心病心绞痛心血瘀阻证患者分为西药组.6周后观察两组患者的治疗效果.结果:联合组总有效率明显优于西药组(P<0.05);联合组TC、TG、LDL水平、不良反应明显低于西药组,且HDL水平明显更高(P<0.05).结论:血府逐瘀汤联合西药治疗冠心病心绞痛心血瘀阻证的疗效安全可靠,可以迅速改善患者的心绞痛症状,降低西药的不良反应,优化治疗效果.

Keyword :

血府逐瘀汤/治疗应用 心绞痛/中西医结合疗法

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GB/T 7714 邢小燕 , 翟向伟 , 范辉 et al. 血府逐瘀汤联合西药治疗心血瘀阻型冠心病心绞痛疗效观察 [J]. | 陕西中医 , 2017 , (10) : 1368-1369 .
MLA 邢小燕 et al. "血府逐瘀汤联合西药治疗心血瘀阻型冠心病心绞痛疗效观察" . | 陕西中医 10 (2017) : 1368-1369 .
APA 邢小燕 , 翟向伟 , 范辉 , 王晓峰 , 刘晓亮 , 冯卫星 . 血府逐瘀汤联合西药治疗心血瘀阻型冠心病心绞痛疗效观察 . | 陕西中医 , 2017 , (10) , 1368-1369 .
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制造商主导的低碳供应链减排策略分析 PKU
期刊论文 | 2017 , (12) , 72-75 | 商业经济研究
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Abstract :

低碳经济的出现使环境资源有了稀缺性,企业有效的碳管理可以实现由碳成本向碳收益的转化,所以制造企业的减排效果具有价值属性.本文基于消费者低碳意识对低碳供应链减排策略的影响,构建决策模型,比较集中决策和分散决策下的利润.结果表明:集中决策时,供应链中各企业的利润和减排效果较好;而分散决策时,企业若要减少碳排放量,则必须降低产量,使利润降低;政府应重点监控供应链上游碳排放量较大的企业.

Keyword :

可持续发展 碳交易 碳减排策略 低碳供应链

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GB/T 7714 王彦春 , 冯耕中 , 王能民 . 制造商主导的低碳供应链减排策略分析 [J]. | 商业经济研究 , 2017 , (12) : 72-75 .
MLA 王彦春 et al. "制造商主导的低碳供应链减排策略分析" . | 商业经济研究 12 (2017) : 72-75 .
APA 王彦春 , 冯耕中 , 王能民 . 制造商主导的低碳供应链减排策略分析 . | 商业经济研究 , 2017 , (12) , 72-75 .
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2003~2014年安康某高校新生乙肝病毒感染及免疫接种情况调查
期刊论文 | 2017 , (1) , 147-149,153 | 现代检验医学杂志
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目的:了解安康某高校新生乙肝病毒感染率、乙肝疫苗接种后的免疫学效果,为高校乙肝防治提供科学依据。方法以安康某高校近12年25895例新生为调查对象,对新生乙肝病毒血清标志物五项、丙氨酸氨基转移酶的检测结果进行回顾性调查,观察接种乙肝疫苗1年后血清中 HBsAb阳转率以及加强免疫后 HBsAb阳转率。结果新生乙肝表面抗原(HBsAg)阳性率4.07%,男女生阳性率分别为5.58%,3.14%,差异有统计学意义(P<0.05)。来自农村与城镇学生乙肝表面抗原阳性率分别为4.77%,2.93%,差异有统计学意义(P<0.05);不同性别接种乙肝疫苗免疫效果差异无统计学意义(χ2=5.80,P>0.05);10μg与5μg乙肝疫苗免疫后血清 HBsAb阳性率为95.15%,84.76%差异有统计学意义(P<0.05)。结论安康地区<em>大学</em>新生乙肝病毒感染率、乙肝保护性抗体阳性率均低于全国水平,新生乙肝病毒感染率呈现出男性高于女性、农村高于城镇的特点;乙肝疫苗免疫效果良好,需对无应答人群加强免疫确保免疫效果。

Keyword :

乙肝疫苗 预防接种 乙型肝炎病毒 高校新生

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GB/T 7714 陈雪花 , 雷艳君 . 2003~2014年安康某高校新生乙肝病毒感染及免疫接种情况调查 [J]. | 现代检验医学杂志 , 2017 , (1) : 147-149,153 .
MLA 陈雪花 et al. "2003~2014年安康某高校新生乙肝病毒感染及免疫接种情况调查" . | 现代检验医学杂志 1 (2017) : 147-149,153 .
APA 陈雪花 , 雷艳君 . 2003~2014年安康某高校新生乙肝病毒感染及免疫接种情况调查 . | 现代检验医学杂志 , 2017 , (1) , 147-149,153 .
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某高职院校护理专业学生肺结核防治知识、态度、行为调查
期刊论文 | 2017 , (12) , 7-8 | 大家健康(中旬版)
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目的:了解本高职院校护理专业学生对结核病防治知识知晓情况及相关的态度和行为.方法:自行设计《<em>大学</em>生肺结核防治的知识、态度和行为调查》问卷,对不同年级护理专业<em>大学</em>生进行匿名调查.结果:本高职院校护理专业学生对结核病有较正确的认知态度,大部分学生都能认识到肺结核病是一种严重危害人类健康的传染病,但对结核病防治基本知识知晓率普遍较低.大部分人很愿意参加学校组织的宣传预防肺结核病的活动,学生可通过多种途径了解肺结核病的有关知识.结论:由于护理专业学生的专业特殊性,学校应尽早开展针对性宣教活动,加强<em>大学</em>生的对肺结核病防治知识的掌握,形成对结核病正确的认知态度和疾病预防行为,有利于全社会结核的防治.

Keyword :

肺结核病 知识 高职护理学生 行为 态度

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GB/T 7714 董玉芬 , 王学 . 某高职院校护理专业学生肺结核防治知识、态度、行为调查 [J]. | 大家健康(中旬版) , 2017 , (12) : 7-8 .
MLA 董玉芬 et al. "某高职院校护理专业学生肺结核防治知识、态度、行为调查" . | 大家健康(中旬版) 12 (2017) : 7-8 .
APA 董玉芬 , 王学 . 某高职院校护理专业学生肺结核防治知识、态度、行为调查 . | 大家健康(中旬版) , 2017 , (12) , 7-8 .
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渭南高职学生手机依赖的现状及对策
期刊论文 | 2017 , (6) , 157-158 | 家庭医药
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目的:了解渭南高职学生对手机依赖的现状,分析其成因、影响并提出应对措施,为学校今后开展相关健康教育提供参考依据.方法:整群随机抽取渭南职业技术学院在校1~2年级802名学生进行问卷调查.结果:高职学生对手机的依赖倾向已经非常高,总依赖率已达到58.6%,已经影响到学校正常教学和学生的身心健康.结论:对高职学生手机依赖的干预已经刻不容缓,要针对高职学生的特点尽早开展健康教育,减少手机依赖的发生.

Keyword :

高职 现状 对策 手机依赖

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GB/T 7714 张辛负 , 李宇飞 . 渭南高职学生手机依赖的现状及对策 [J]. | 家庭医药 , 2017 , (6) : 157-158 .
MLA 张辛负 et al. "渭南高职学生手机依赖的现状及对策" . | 家庭医药 6 (2017) : 157-158 .
APA 张辛负 , 李宇飞 . 渭南高职学生手机依赖的现状及对策 . | 家庭医药 , 2017 , (6) , 157-158 .
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