
基本资料
姓名:李海峰
职称:副教授
系别:信息管理系
行政职务:院长助理、信息管理系主任
学术兼职:CCF高级会员,ACM会员
教育背景:
1996-2000山东科技大学计算机科学与技术学士
2002-2005北京化工大学计算机应用硕士
2005-2009中国人民大学计算机应用博士
工作经历:
2000-2002山东商业集团总公司工程师
主要讲授课程:
计算机基础,计算机应用基础,数据库系统概论,数据库原理与应用,C语言程序设计,C++语言程序设计,软件开发工具
主要研究领域:
数据挖掘,数据流挖掘,商业智能
主要研究成果:
期刊论文:
[1] Haifeng Li, Ning Zhang, Zhixin Chen, ASimple but Effective Maximal Frequent Itemset Mining Algorithm over Streams,Journal of Software, v. 7, n. 1, p. 25-32, January 2012(EI)
[2] 李海峰,章宁,不确定性数据上频繁项集挖掘的预处理方法,计算机科学,第39卷,第7期,2012.7
[3] 李海峰,章宁,数据流上的最大频繁项集挖掘方法,计算机工程,第21期,2012.11
[4] 李海峰,章宁,朱建明,曹怀虎,时间敏感数据流上的频繁项集挖掘算法,计算机学报,第35卷,第11期,2012.11
[5] 李海峰,章宁,一种基于Chernoff Bound的数据流上近似频繁项集的挖掘方法,计算机科学,第38卷,第5期,2011.5
[6] 李海峰,基于GPU的闭合频繁项集挖掘方法,计算机工程,第37卷,第14期,2011.7
[7] Haifeng Li, Ning Zhang, Approximate MaximalFrequent Itemset Mining over Data Stream, Journal of Information andComputational Science, v. 8, n. 12, p. 2249-2257, December 2011(EI)
[8] Haifeng Li, Ning Zhang, Mo Hai, YanmeiChai, Multi-queries oriented closed sequential pattern mining over stream, Journalof Information and Computational Science, v. 7, n. 2, p. 301-307, February 2010(EI)
[9] 黄崇争,李海峰,陈红,数据流上近似非可导项集的挖掘算法,计算机学报,第33卷,第8期,2010.8(EI)
[10]Haifeng Li, Hong Chen,Mining non-derivable frequentitemsets over data stream,Data and KnowledgeEngineering, v. 68, n. 5, p. 481-498, May 2009(SCI, EI)
[11]HaifengLi, Hong Chen, An approximate sequential pattern mining approach over datastream based on Levenshtein-Automata, Journal of Computational InformationSystems, v. 3, n. 5, p. 2025-2030, October 2007(EI)
会议论文:
[1] Haifeng Li, Mining Maximal FrequentItemsets over Data Stream under Landmark Model, PEITS2010(EI)
[2] Haifeng Li, Tianmei Wang, Yanlin Ma, AnUnderstandable Example Running Through Access Teaching Instruction, ICEEE2012(EI)
[3] Haifeng Li, Ning Zhang, Yanmei Chai, FrequentItemset Mining over Time-sensitive Streams, FSKD2011(EI)
[4] Haifeng Li, Ning Zhang, A False NegativeMaximal Frequent Itemsets Mining Algorithm over Stream,ICIE2011(AMM Vol. 136)(EI)
[5] Haifeng Li, A Stream Sequential PatternMining Model, ICCSNT2011
[6] Haifeng Li, Ning Zhang,ASimple but Effective Stream Maximal Frequent Itemset Mining Algorithm,CIS2011(EI)
[7] Haifeng Li, Ning Zhang, A False NegativeMaximal Frequent Itemset Mining Algorithm over Stream, ADMA2011(EI)
[8] Haifeng Li, Ning Zhang, Mining maximalfrequent itemsets on graphics processors, FSKD2010(EI)
[9] Haifeng Li, A GPU-based closed frequentitemsets mining algorithm over stream, ICIS2010(EI)
[10]Haifeng Li, A GPU-based maximal frequentitemsets mining algorithm over stream, CCATE2010(EI)
[11]Haifeng Li, Ning Zhang, Mining maximalfrequent itemsets over a stream sliding window, YC-ICT2010(EI)
[12]Yanmei Chai, Tian Xia, Jianming Zhu,Haifeng Li, Intelligent digital photo management system using ontology and SWRL,CIS2010(EI)
[13]Haifeng Li,Hong Chen, Zongjian Lu,Mining approximate closedfrequent itemsets over stream, SNPD2008(EI)
[14]HaifengLi, Hong Chen, Improve frequent closed itemsets mining over data stream withbitmap, SNPD2008(EI)
[15]HaifengLi, Hong Chen, Evolving sequential patterns mining model over click stream withLevenshtein-Automata, ICICIC2008(EI)
[16]HaifengLi, Hong Chen, Moment+: Mining closed frequent itemsets over data stream,ADMA2008(EI)
[17]HaifengLi, Hong Chen, DSOSW: A deleting strategy in mining frequent itemsets oversliding window of stream, WMWA2008(EI)
[18]Haifeng Li,Hong Chen,GraSeq: A novel approximate miningapproach of sequential patterns over data stream, ADMA 2007(EI)
联系方式:
Email:mydlhf@cufe.edu.cn