首页 > 最新文献

Int. J. Semantic Comput.最新文献

英文 中文
Guest Editorial - Special Issue on IEEE AIKE 2022 嘉宾评论- IEEE AIKE 2022特刊
Int. J. Semantic Comput.
Pub Date : 2023-05-29 DOI: 10.1142/s1793351x23020014
Ajay Bansal
{"title":"Guest Editorial - Special Issue on IEEE AIKE 2022","authors":"Ajay Bansal","doi":"10.1142/s1793351x23020014","DOIUrl":"https://doi.org/10.1142/s1793351x23020014","url":null,"abstract":"","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126866647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Knowledge Graph-Based Explainable Artificial Intelligence for Business Process Analysis 基于知识图的可解释的业务流程分析人工智能
Int. J. Semantic Comput.
Pub Date : 2023-02-17 DOI: 10.1142/s1793351x23600024
Anne Füßl, V. Nissen, Stefan Horst Heringklee
{"title":"Knowledge Graph-Based Explainable Artificial Intelligence for Business Process Analysis","authors":"Anne Füßl, V. Nissen, Stefan Horst Heringklee","doi":"10.1142/s1793351x23600024","DOIUrl":"https://doi.org/10.1142/s1793351x23600024","url":null,"abstract":"","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125978564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Confidence-Based Cheat Detection Through Constrained Order Inference of Temporal Sequences 基于置信度的时间序列约束顺序推理欺骗检测
Int. J. Semantic Comput.
Pub Date : 2023-02-17 DOI: 10.1142/s1793351x23600036
Jon Rogers, R. S. Aygün, L. Etzkorn
{"title":"Confidence-Based Cheat Detection Through Constrained Order Inference of Temporal Sequences","authors":"Jon Rogers, R. S. Aygün, L. Etzkorn","doi":"10.1142/s1793351x23600036","DOIUrl":"https://doi.org/10.1142/s1793351x23600036","url":null,"abstract":"","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132244256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Efficient Distributed Energy Resource Voltage Control Using Ensemble Deep Reinforcement Learning 基于集成深度强化学习的高效分布式能源电压控制
Int. J. Semantic Comput.
Pub Date : 2023-02-17 DOI: 10.1142/s1793351x23610020
James Obert, R. Trevizan, A. Chavez
{"title":"Efficient Distributed Energy Resource Voltage Control Using Ensemble Deep Reinforcement Learning","authors":"James Obert, R. Trevizan, A. Chavez","doi":"10.1142/s1793351x23610020","DOIUrl":"https://doi.org/10.1142/s1793351x23610020","url":null,"abstract":"","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"155 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133455770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TemporalDedup: Domain-Independent Deduplication of Redundant and Errant Temporal Data TemporalDedup:对冗余和错误的时态数据进行域独立的重复数据删除
Int. J. Semantic Comput.
Pub Date : 2023-02-17 DOI: 10.1142/s1793351x23500010
Jon Rogers, R. S. Aygün, L. Etzkorn
Deduplication is a key component of the data preparation process, a bottleneck in the machine learning (ML) and data mining pipeline that is very time-consuming and often relies on domain expertise and manual involvement. Further, temporal data is increasingly prevalent and is not well suited to traditional similarity and distance-based deduplication techniques. We establish a fully automated, domain-independent deduplication model for temporal data domains, known as TemporalDedup, that infers the key attribute(s), applies a base set of deduplication techniques focused on value matches for key, non-key, and elapsed time, and further detects duplicates through inference of temporal ordering requirements using Longest Common Subsequence (LCS) for records of a shared type. Using LCS, we split each record's temporal sequence into constrained and unconstrained sequences. We flag suspicious (errant) records that are non-adherent to the inferred constrained order and we flag a record as a duplicate if its unconstrained order, of sufficient length, matches that of another record. TemporalDedup was compared against a similarity-based Adaptive Sorted Neighborhood Method (ASNM) in evaluating duplicates for two disparate datasets: (1) 22,794 records from Sony's PlayStation Network (PSN) trophy data, where duplication may be indicative of cheating, and (2) emergency declarations and government responses related to COVID-19 for all U.S. states and territories. TemporalDedup (F1-scores of 0.971 and 0.954) exhibited combined sensitivities above 0.9 for all duplicate classes whereas ASNM (0.705 and 0.732) exhibited combined sensitivities below 0.2 for all time and order duplicate classes. © 2023 World Scientific Publishing Company.
重复数据删除是数据准备过程的关键组成部分，是机器学习(ML)和数据挖掘管道的瓶颈，非常耗时，通常依赖于领域专业知识和人工参与。此外，时间数据越来越普遍，不适合传统的基于相似性和距离的重复数据删除技术。我们为时间数据域建立了一个完全自动化的、独立于域的重复数据删除模型(称为TemporalDedup)，该模型推断出键属性，应用一组基本的重复数据删除技术，重点关注键、非键和经过时间的值匹配，并通过使用最长公共子序列(LCS)对共享类型的记录推断时间排序需求，进一步检测重复项。使用LCS，我们将每个记录的时间序列拆分为受约束和不受约束的序列。我们标记不遵循推断约束顺序的可疑(错误)记录，如果其无约束顺序(长度足够)与另一条记录匹配，我们将其标记为重复记录。在评估两个不同数据集的重复时，将TemporalDedup与基于相似性的自适应邻域排序方法(ASNM)进行了比较:(1)来自索尼PlayStation Network (PSN)奖杯数据的22,794条记录，其中重复可能表明作弊;(2)美国所有州和地区与COVID-19相关的紧急声明和政府响应。TemporalDedup (f1得分分别为0.971和0.954)对所有重复类别的综合灵敏度均在0.9以上，而ASNM (f1得分分别为0.705和0.732)对所有时间和顺序重复类别的综合灵敏度均低于0.2。©2023世界科学出版公司。
{"title":"TemporalDedup: Domain-Independent Deduplication of Redundant and Errant Temporal Data","authors":"Jon Rogers, R. S. Aygün, L. Etzkorn","doi":"10.1142/s1793351x23500010","DOIUrl":"https://doi.org/10.1142/s1793351x23500010","url":null,"abstract":"Deduplication is a key component of the data preparation process, a bottleneck in the machine learning (ML) and data mining pipeline that is very time-consuming and often relies on domain expertise and manual involvement. Further, temporal data is increasingly prevalent and is not well suited to traditional similarity and distance-based deduplication techniques. We establish a fully automated, domain-independent deduplication model for temporal data domains, known as TemporalDedup, that infers the key attribute(s), applies a base set of deduplication techniques focused on value matches for key, non-key, and elapsed time, and further detects duplicates through inference of temporal ordering requirements using Longest Common Subsequence (LCS) for records of a shared type. Using LCS, we split each record's temporal sequence into constrained and unconstrained sequences. We flag suspicious (errant) records that are non-adherent to the inferred constrained order and we flag a record as a duplicate if its unconstrained order, of sufficient length, matches that of another record. TemporalDedup was compared against a similarity-based Adaptive Sorted Neighborhood Method (ASNM) in evaluating duplicates for two disparate datasets: (1) 22,794 records from Sony's PlayStation Network (PSN) trophy data, where duplication may be indicative of cheating, and (2) emergency declarations and government responses related to COVID-19 for all U.S. states and territories. TemporalDedup (F1-scores of 0.971 and 0.954) exhibited combined sensitivities above 0.9 for all duplicate classes whereas ASNM (0.705 and 0.732) exhibited combined sensitivities below 0.2 for all time and order duplicate classes. © 2023 World Scientific Publishing Company.","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121535074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Knowledge Graph-Based Integration of Autonomous Driving Datasets 基于知识图的自动驾驶数据集集成
Int. J. Semantic Comput.
Pub Date : 2023-02-17 DOI: 10.1142/s1793351x23600048
Lavdim Halilaj, J. Luettin, Sebastian Monka, C. Henson, Stefan Schmid
{"title":"Knowledge Graph-Based Integration of Autonomous Driving Datasets","authors":"Lavdim Halilaj, J. Luettin, Sebastian Monka, C. Henson, Stefan Schmid","doi":"10.1142/s1793351x23600048","DOIUrl":"https://doi.org/10.1142/s1793351x23600048","url":null,"abstract":"","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126819022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Guest Editorial - Special Issue on IEEE AIVR 2021 嘉宾评论- IEEE AIVR 2021特刊
Int. J. Semantic Comput.
Pub Date : 2022-12-19 DOI: 10.1142/s1793351x2202007x
M. Hu, Wolfgang Hürst, P. Sheu
{"title":"Guest Editorial - Special Issue on IEEE AIVR 2021","authors":"M. Hu, Wolfgang Hürst, P. Sheu","doi":"10.1142/s1793351x2202007x","DOIUrl":"https://doi.org/10.1142/s1793351x2202007x","url":null,"abstract":"","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128784538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Guest Editorial - Special Issue on Intelligent Big Sensor Data Management & Control in IoT Applications 特刊:物联网应用中的智能大传感器数据管理与控制
Int. J. Semantic Comput.
Pub Date : 2022-11-11 DOI: 10.1142/s1793351x22020068
Poonam Yadav, S. B. S. Kumar, B. R. Rajakumar
{"title":"Guest Editorial - Special Issue on Intelligent Big Sensor Data Management & Control in IoT Applications","authors":"Poonam Yadav, S. B. S. Kumar, B. R. Rajakumar","doi":"10.1142/s1793351x22020068","DOIUrl":"https://doi.org/10.1142/s1793351x22020068","url":null,"abstract":"","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132381595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine Learning Prediction of Locomotion Intention from Walking and Gaze Data 基于行走和凝视数据的机器学习运动意图预测
Int. J. Semantic Comput.
Pub Date : 2022-10-28 DOI: 10.1142/s1793351x22490010
G. Bremer, Niklas Stein, M. Lappe
)
）
{"title":"Machine Learning Prediction of Locomotion Intention from Walking and Gaze Data","authors":"G. Bremer, Niklas Stein, M. Lappe","doi":"10.1142/s1793351x22490010","DOIUrl":"https://doi.org/10.1142/s1793351x22490010","url":null,"abstract":")","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114503918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Efficient Redirection of Positional Interactions in Mixed/ Augmented Reality 混合/增强现实中位置交互的有效重定向
Int. J. Semantic Comput.
Pub Date : 2022-10-28 DOI: 10.1142/s1793351x22490022
A. Ullal, Alexandra Watkins, N. Sarkar
{"title":"An Efficient Redirection of Positional Interactions in Mixed/ Augmented Reality","authors":"A. Ullal, Alexandra Watkins, N. Sarkar","doi":"10.1142/s1793351x22490022","DOIUrl":"https://doi.org/10.1142/s1793351x22490022","url":null,"abstract":"","PeriodicalId":217956,"journal":{"name":"Int. J. Semantic Comput.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117067254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
下一页 尾页
类型
全部 化学•材料 生命科学 医学 物理 工程技术 环境•农林 材料科学 地球科学 法学 管理学 化学 环境科学与生态学 计算机科学 教育学 经济学 农林科学 人文科学 生物学 数学 物理与天体物理 心理学 综合性期刊 其他 工业工程 理学 历史学 农学 文学 信息工程
数据库
全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley
期刊
Int. J. Semantic Comput.
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
﹀
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们：info@booksci.cn
Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1