陈景年

陈景年,最正规的手机棋牌游戏教授。本科和硕士均毕业于山东大学数学与系统科学学院基础数学专业,博士毕业于北京交通大学计算机应用技术专业.并在2009年至2011年期间,于中科院自动化所模式识别国家重点实验室从事博士后研究工作。

主要研究领域

大数据分析与处理、金融数据挖掘、经济决策分析。

学术兼职

先后在国际期刊、重要国际会议及国内核心期刊上发表论文三十余篇。被SCI检索9篇,EI及ISTP检索十多篇。这些论文被引用达四百多次。其中,发表在期刊Expert Systems with Applications上的一篇至今已被他引两百多次。为IEEE transaction SMC part B, Information science, Knowledge-based systems, Pattern Analysis and Applications等多种国际期刊和Journal of Computer Science and Technology(计算机学报英文版)、计算机研究与发展、自动化学报、电子学报等多种国内核心期刊审稿。中国计算机学会高级会员。

主要论文

1. 陈景年等, 基于异类近邻的支持向量机加速算法. 计算机工程,2018, 44(5): 19-24.

2. Jingnian Chen, Li Xu. A Compound Approach for Improving Credit Scoring with Support Vector Machines。Inproceedings of 12thInternational Conference on Fuzzy Systems and Knowledge Discovery(FSKD2015),pp615-619. (EI )

3. Jingnian Chen, Caiming Zhang, Xiaoping Xue, Cheng-Lin Liu. Fast instance selection for speeding up support vector machines.Knowledge-Based Systems, 45, 1-7, 2013. (SCI检索)

4.Jingnian Chen,et al.. Speeding up Discriminative Learning Quadratic Discriminant Function with Sampling. Inproceedings of 9thInternational Conference on Fuzzy Systems and Knowledge Discovery(FSKD2012), May 29-31, 2012, Chongqing,China, pp911-914. (EI)

5.Jingnian Chen, Cheng-Lin Liu.Instance Selection for Speeding up Multi-Class SVMs with Neighborhoods. Inproceedings ofFirst Asian Conference on Pattern Recognition(ACPR2011), Nov. 28-30, 2011, Beijing,China, pp.264-268. (EI)

6. Jingnian Chen, Cheng-Lin Liu. Fast Multi-Class Sample Reduction for Speeding up Support Vector Machines. Inproceedings of2011 IEEE International Workshop on Machine Learning for Signal Processing(MLSP2011),2011,Beijing,China, pp.1-6. (EI)

7. Jingnian Chen, Houkuan Huang, et al. Feature Selection for Text Classification with Naive Bayes.Expert Systems with Applications. 2009, 36(3), 5432-5435. (SCI)

8. Jingnian Chen,Li Xu. A Hybrid Selective Classifier for Categorizing Incomplete Data. InProceeding of 6thInternational Conference on Fuzzy Systems and Knowledge Discovery, FSKD (1): 31-34, 2009. (EI)

9. Jingnian Chen, et al.. Gain-Ratio-Based Selective Classifiers for Incomplete Data.The 5thInternational Conference on Granular Computing(GRC’09), 57-60, 2009. (EI)

10. Jingnian Chen, Houkuan Huang, et al. A Selective Bayes Classifier for Classifying Incomplete Data Based on Gain Ratio.Knowledge-Based Systems, 2008, 21(7): 530-534. (SCI)

11. Jingnian Chen, et al. A Selective Classifier for Incomplete Data.Proc.12thPacific Asia Conf .on Knowledge Discovery and Data Mining(PAKDD’2008), Osaka,Japan, 2008, 870-876. (EI)

12. 陈景年等.基于分布的不完整数据选择分类器.北京交通大学学报,2008,32(2):26-29. (EI)

13. 陈景年等.用于不完整数据的选择性贝叶斯分类器。计算机研究与发展,2007, 44(8): 1324-1330. (EI)

14. Jingnian Chen, et al.. An Algorithm for Classifying Incomplete Data with Selective Bayes Classifiers. InProceedings of International Conference on Computational Intelligence and Security, Harbin,China, 2007, 445-448. (EI)

15. 陈景年等.一种基于不完整数据的朴素贝叶斯分类器.计算机工程,2006,32(17): 86-88. (EI)

16. Jingnian Chen, Houkuan Huang, et al. A method of valuable rule discovering. InProceedings of International Conference on Granular Computing, Beijing,China, 2005, 118-120. (EI)

17. Jingnian Chen and Yuming Shi. The Limit Circle and Limit Point Criteria for Second-Order Linear Difference Equations.International Journal ofComputers and Mathematics with Applications, 2004, 47(6): 967-976. (SCI)

科研项目

近年来,主持或以主要参加人参加(前三位)国家自然科学基金、博士后基金、山东省自然科学基金等项目多项。

1. 融合事件关系推理和情感博弈的网络不实信息演化机理研究,国家自然科学基金项目,第二参加人,2016.01-2018.12.

2. 面向复杂数据的稀疏相似度学习方法及其应用,国家自然科学基金项目,第二参加人,2011.01-2014.12.

3. 大类别集数据分类高效算法研究及其应用,中国博士后科学基金项目,主持,2010.07-2012.01.

4. 大规模多类分类高效算法研究,最正规的手机棋牌游戏博士基金项目,主持,2013.06-2015.06.