Previous Articles Next Articles
Received:
2016-04-12
Online:
2016-11-15
Published:
2016-11-23
CLC Number:
FAN Cun-jia, WANG You-sheng, WANG Yu-ting. An Improved CHI Text Feature Selection Algorithm[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.11.002.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.c-a-m.org.cn/EN/10.3969/j.issn.1006-2475.2016.11.002
[1] Sebastiani F. Machine learning in automated text categorization[J]. ACM Computing Surveys, 2002,34(1):1-47. [2] 谭熊,余旭初,秦进春,等. 高光谱影像的多核SVM分类[J]. 仪器仪表学报, 2014,35(2):405-411. [3] 蒋健. 文本分类中特征提取和特征加权方法研究[D]. 重庆:重庆大学, 2010. [4] 钟将,刘荣辉. 一种改进的KNN文本分类[J]. 计算机工程与应用, 2012,48(2):142-144. [5] 贺邓超,郝文宁,陈刚,等. 基于最小分类错误率和Parzen窗的降维方法[J]. 计算机工程与应用, 2014,50(14):185-188. [6] 袁轶,王新房. 一种基于方差的文本特征选择算法[J]. 计算机工程, 2012,38(12):155-157. [7] Yang Yiming, Pedersen J O. A comparative study on feature selection in text categorization[C]// Proceedings of the 14th International Conference on Machine Learning. 1997:412-420. [8] Tang Yan, Xiao Ting. An improved (CHI) statistics method for text feature selection[C]// International Conference on Computational Intelligence and Software Engineering. 2009:1-4. [9] 〖JP3〗熊忠阳,张鹏招,张玉芳. 基于χ2统计的文本分类特征选择方法的研究[J]. 计算机应用, 2008,28(2):513-514. [10]邱云飞,王威,刘大有,等. 基于方差的CHI特征选择方法[J]. 计算机应用研究, 2012,29(4):1304-1306. [11]王光,邱云飞,史庆伟. 集合CHI与IG的特征选择方法[J]. 计算机应用研究, 2012,29(7):2454-2456. [12]冀俊忠,吴金源,吴晨生,等. 基于类别加权和方差统计的特征选择方法[J]. 北京工业大学学报, 2014,40(10):1593-1602. [13]裴英博,刘晓霞. 文本分类中改进型CHI特征选择方法的研究[J]. 计算机工程与应用, 2011,47(4):128-130. [14]刘海峰,苏展,刘守生. 一种基于词频信息的改进CHI文本特征选择[J]. 计算机工程与应用, 2013,49(22):110-114. [15]邱云飞,王建坤,李雪,等. 基于线性组合文本特征选择方法[J]. 计算机应用研究, 2011,28(6):2099-2101. [16]王煜. 基于决策树和K最近邻算法的文本分类研究[D]. 天津:天津大学, 2006. [17]石欣,印爱民,张琦. 基于K最近邻分类的无线传感器网络定位算法[J]. 仪器仪表学报, 2014,35(10):2238-2247. |
[1] | FU Hong-lin, ZHANG Tai-hong, YANG Ya-ting, Aizimaiti Aiwanier, MA Bo. Scenes Text Modification Network for Uyghur Based on Generative Adversarial Network [J]. Computer and Modernization, 2024, 0(01): 41-46. |
[2] | WANG Qiu-yi, ZHOU Hao, ZHENG Ting-ting. Improved RetinaNet Target Detection Method for Power Equipment [J]. Computer and Modernization, 2024, 0(01): 47-52. |
[3] | LIN Qi-zhao, PENG Zhi-ping, GUO Mian, CUI De-long. A Temperature Field Reconstruction Method of Furnace Tube Based on Bidirectional Multistep Prediction [J]. Computer and Modernization, 2024, 0(01): 53-58. |
[4] | ZHENG Li-rui, XIAO Xiao-xia, ZOU Bei-ji, LIU Bin, ZHOU Zhan. Named Entity Recognition in Electronic Medical Record Based on BERT [J]. Computer and Modernization, 2024, 0(01): 87-91. |
[5] | LI Ying-ying, HUANG Wen-pei. View Frustum Culling Algorithm for Scene Based on Optimized Octree [J]. Computer and Modernization, 2024, 0(01): 103-108. |
[6] | XIA Qian-han, HE Sheng-huang, WU Yuan-qing, ZHAO Le-le. Few-shot Object Detection via Learnable Memory Feature Pyramid Network [J]. Computer and Modernization, 2023, 0(12): 7-13. |
[7] | ZHOU Cheng-cheng, ZENG Qing-jun, YANG Kang, HU Jia-ming, HAN Chun-wei. EEG Recognition of Motor Imagination Based on Efficiency Channel Attention Module [J]. Computer and Modernization, 2023, 0(12): 19-23. |
[8] | ZENG Wei-ping, CHEN Jun-hong, Muhammad ASIM, LIU Wen-yin, YANG Zhen-guo. Point Cloud Completion Algorithm Based on Multi-stage Fractal Combination [J]. Computer and Modernization, 2023, 0(12): 24-29. |
[9] | BAI Xiao-bo, JIANG Meng-xi, WANG Tie-shan, SHAO Jing-feng, LI Bo, . Improved Harris Hawks Optimization Algorithm Based on Cluster Centroid and#br# Exponential Decline Method#br# [J]. Computer and Modernization, 2023, 0(12): 30-35. |
[10] | QIU Kai-xing, FENG Guang. A Multi-label Image Classification Model Based on Dual Feature Attention [J]. Computer and Modernization, 2023, 0(12): 41-47. |
[11] | DU Kang, GUO Lu-yu, XU Qi-lei, SHAN Bao-ming, ZHANG Fang-kun. Infrared Spectrum Modeling Method Based on Variable Selection of Model#br# Population Analysis#br# [J]. Computer and Modernization, 2023, 0(12): 48-52. |
[12] | LIU Yu-cheng, HE Qi, DONG Yan-hua, WANG Xiao-yu. Course Recommendation Method Combining Time Correlation Degree and Course#br# Collocation Degree [J]. Computer and Modernization, 2023, 0(12): 53-58. |
[13] | ZHANG Hao-yang, YIN Zi-ming, LE Jun-yi, SHEN Da-cong, SHU Yi-jun, YANG Zi-yi, . 3D-SPRNet: Segmentation Model of Gallbladder Cancer Based on Parallel Decoder and Double Attention Mechanism [J]. Computer and Modernization, 2023, 0(12): 59-66. |
[14] | ZHANG Bo-quan, MAI Hai-peng, CHEN Jia-min, Pang Jin-ju. White Matter Hyperintensities Segmentation Based on High Gray Value#br# Attention Mechanism [J]. Computer and Modernization, 2023, 0(12): 67-75. |
[15] | ZHANG Zai-cheng, LI Jian. Application of Neural Rendering Based Visual Synthesis in Construction Scene [J]. Computer and Modernization, 2023, 0(12): 76-81. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||