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包旭光 无 (bbaaooxx@163.com)    

计算机与信息安全学院    

数据挖掘;知识工程;机器学习;人机交互

个人简介
包旭光,博士,现为乐动网页版专任教师,于2019年获得云南大学工学博士学位。现主要研究方向为空间数据挖掘、知识工程、机器学习、人机交互、决策支持等。主持在研国家自然科学基金青年基金项目、广西自然科学基金青年项目、广西人才专项基金等,并参与国家自然科学基金面上基金项目、省重点基金项目等多项课题。在《IEEE Transactions on Knowledge and Data Engineering》、《IEEE Transactions on Cybernetics》、《IEEE Transactions on Neural Networks and Learning Systems》、《Information Sciences》、IEEE ICDE、《World Wide Web Journal》、DASFAA、《计算机研究与发展》等国内外知名期刊及会议上发表论文20余篇,其中SCI/EI收录20余篇。担任《IEEE Transactions on Fuzzy Systems》、《ACM Transactions on Spatial Algorithms and Systems》等期刊的审稿人。
教育背景
2004.09-2008.06  武汉理工大学  软件工程专业
2013.09-2015.06  云南大学        计算机技术专业
2015.09-2019.06  云南大学        信息与通信工程专业
工作经历
2008.07-2011.09  北京久其软件股份有限公司              软件工程师
2013.05-2013.07  北京拓尔思信息股份技术有限公司    软件工程师
主要荣誉
学术活动
担任《IEEE Transactions on Fuzzy Systems》、《ACM Transactions on Spatial Algorithms and Systems》等期刊的审稿人。

教学信息

主讲《数据仓库与数据挖掘》、《大数据技术与原理》本科课程

主讲《数据与知识工程》研究生课程

主要论文

[1] Xuguang Bao; Jinjie Lu; Liang Chang; Tianlong Gu; Zhoubo Xu; Lizhen Wang; Mining Non-Redundant Co-location Patterns, IEEE Transactions on Neural Networks and Learning Systems, 2021, doi: 10.1109/TNNLS.2121.3082628. (SCI 一区,CCF B类期刊)

[2] Xuguang Bao; Jinjie Lu; Liang Chang; Tianlong Gu; Zhoubo Xu; NCRP-Miner: Towards the Summarization of Spatial Co-location Patterns, DASFAA 2021. (EI,CCF B类会议)


[3] Xuguang Bao; Tianlong Gu; Liang Chang; Zhoubo Xu; Long Li; Knowledge-based interactive post-mining of user-preferred co-location patterns using ontologies, IEEE Transactions on Cybernetics, 2021, doi: 10.1109/TCYB.2121.3054923. (SCI 一区,CCF B类期刊)

[4] 古天龙; 冯旋; 李龙; 包旭光; 李云辉; 基于社会新闻数据集的伦理行为判别方法, 计算机研究与发展, 2021, 58(2): 253-263. (EI,计算机类中文一级学报)

[5] Lizhen Wang, Xuguang Bao, Lihua Zhou, Hongmei Chen. Mining Maximal Sub-prevalent Co-location Patterns. World Wide Web Jurnal (WWWJ), 2019: https://doi.org/10.1007/s11280-018-0646-2. (SCI,CCF B类期刊)

[6] Xuguang Bao; Lizhen Wang; A clique-based approach for co-location pattern mining, Information Sciences, 2019, 490: 244-264. (SCI 一区,CCF B类期刊)

[7] Lizhen Wang, Xuguang Bao, Lihua Zhou. Redundancy Reduction for Prevalent Co-location Patterns. IEEE Transaction on Knowledge & Data Engining (TKDE), 2018, 30(1): 142-155. (SCI 二区,CCF A类期刊)

[8] Lizhen Wang, Xuguang Bao, etl. Interactive Probabilistic Post-mining of User-preferred Spatial Co-location Patterns. IEEE Internatinal Conference on Data Engineering (ICDE 2018), 2018, pp. 1256-1259. (EI,CCF A类会议)

[9] Lizhen Wang, Xuguang Bao, Hongmei Chen, Longbin Cao. Effective Lossless Condensed Representation and Discovery of Spatial Co-location Patterns. Information Sciences (INS), 2018, 436-437: 197-213. (SCI 一区,CCF B类期刊)

[10] Xuguang Bao, Lizhen Wang, Qing Xiao. A Co-location-based Approach for Business Site Selection Using Ontologies. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2018), 2018, pp. 493-500. (EI, CCF C类会议)

[11] Xuguang Bao, Lizhen Wang. A Business Site Selection System Using Co-locations and Ontologies. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2018), 2018, pp. 1034-1035.(EI, CCF C类会议)

[12] Xuguang Bao, Lizhen Wang. Discovering Interesting Co-location Patterns Interactively Using Ontologies. International Conference on Database Systems for Advanced Applications (DASFAA 2017), 2017, pp 75-89. (EI, CCF B类会议)

[13] Xuguang Bao, Lizhen Wang, Qing Xiao. OICPM: An Interactive System to Find Interesting Co-location Patterns Using Ontologies. APWeb-WAIM Joint Conference on Web and Big Data (APWeb-WAIM 2017), 2017, pp 329-332. (EI, CCF C类会议)

[14] Lizhen Wang, Xuguang Bao, Hongmei Chen, Lihua Zhou. Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithms. International Conference on Web Information System Engineering (WISE 2017), 2017, pp 199-214. (EI, CCF C类会议)

[15] Xuguang Bao, Lizhen Wang, Qing Xiao. Co-location Detector: A System to Find Interesting Spatial Co-locating Relationships. Asia Pacific Web Conference (APWeb 2016), 2016, pp 588-591.(EI, CCF C类会议)

[16] Xuguang Bao, Lizhen Wang, Meijiao Wang. ORCIM: An Ontology-Based Interesting Co-location Rule Miner. Asia Pacific Web Conference (APWeb 2016), 2016, pp 570-573.(EI, CCF C类会议)

[17] Xuguang Bao, Lizhen Wang, Hongmei Chen. Ontology-Based Interactive Post-mining of Interesting Co-location Patterns. Asia Pacific Web Conference (APWeb 2016), 2016, pp. 406-409.(EI, CCF C类会议)

学术著作
科研项目
(1)国家自然科学基金青年基金项目,结合领域知识的空间同位模式挖掘研究,2021.01-2023.12,主持;
(2)广西科技基地和人才专项,本体驱动的空间co-location模式挖掘技术研究,2020.01-2022.12,主持;
(3)广西自然科学基金青年基金醒目,交互式挖掘可供决策空间co-location模式的应用基础研究,2020.01-2022.12,主持
知识产权
(1) 王丽珍,陈红梅,肖清,包旭光;频繁co-location模式的无损压缩方法,已授权,201710430303.0,2018.10.19
(2) 王丽珍,包旭光,陈红梅,肖清;基于Co‑location模式和本体的商业地址选择方法,已授权,201710531411.7,2020.07.31
联系信息
bbaaooxx@163.com
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