一种高效防抄袭的由粗到细的框架(7)
引用
[1] T.C. Hoad, J. Zobel, Methods for identifying versioned and plagiarized documents, Journal of the American Society for Information Science and Technology 54 (3) (2003) 203–215.
[2] Tommy W.S. Chow, M.K.M. Rahman, Multi-layer SOM with tree structured data for ef?cient document retrieval and plagiarism detection, IEEE Transactions on Neural Networks 20 (9) (2009) 1385–1402.
[3] Tommy W.S. Chow, Haijun Zhang, M.K.M. Rahman, A new document representation using term frequency and vectorized graph connectionists with application to document retrieval, Expert Systems with Applications 36 (2009) 12023–12035.
[4] Haijun Zhang, Tommy W.S. Chow, M.K.M. Rahman, A new dual wing harmonium model for document retrieval, Pattern Recognition 42 (11) (2009) 2950–2960.
[5] G. Salton, M. McGill (Eds.), Introduction to Modern Information Retrieval,McGraw-Hill, 1983.
[6] S. Deerwester, S. Dumais, Indexing by latent semantic analysis, Journal of the American Society of Information Science 41 (6) (1990) 391–407.
[7] T. Hofmann, Probabilistic latent semantic indexing, in: Proceedings of the Twenty-Second Annual International SIGIR Conference, 1999.
[8] D. Blei, A. Ng, M. Jordan, Latent Dirichlet allocation, Journal of Machine Learning Research 3 (2003) 993–1022.
[9] M. Welling, M. Rosen-Zvi, G. Hinton, Exponential family harmoniums with an application to information retrieval. In: Advances in Neural Information Processing Systems, vol. 17, MIT Press, Cambridge, MA, 2004, pp. 1481–1488.
[10] P. Gehler, A. Holub, M. Welling, The rate adapting Poisson model for information retrieval and object recognition, in: Proceedings of the 23rd International Conference on Machine Learning, Pittsburgh, PA, 2006.
[11] R.B. Yates, B.R. Neto, in: Modern Information Retrieval, Addison Wesley Longman, 1999. [12] S.M. Chen, Y.J. Horng, C.H. Lee, Document retrieval using fuzzy-valued concept networks, IEEE Transactions on Systems, Man, and Cybernetics B 31(1) (2001) 111–118.
[13] J. Bear, D. Israel, J. Petit, D. Martin, Using information extraction to improve document retrieval, in: Proceedings of the Sixth Text Retrieval Conference (TREC 6), Gathiersburg, MD, November 1997, pp. 367–377. [14] R. Gaizauskas, Y. Wilks, Information extraction: beyond document retrieval,Journal of Documentation 54 (1) (1998) 70–105.
[15] A. Georgakis, C. Kotropoulos, A. Xafopoulos, I. Pitas, Marginal median SOM for document organization and retrieval, Neural Networks 17 (3) (2004) 365–377.
[16] K. Lagus, Text retrieval using self-organizing document maps, Neural Processing Letters 15 (2002) 21–29.
[17] M.K.M. Rahman, P.Y. Wang, T.W.S. Chow, S.T. Wu., A ?exible multi-layer self organizing map for generic processing of tree-structured data, Pattern Recognition 40 (5) (2007) 1406–1424. [18] N. Rooney, D. Patterson, M. Galushka, V. Dobrynin., A scalable document clustering approach for large document corpora, Information Processing and Management 42 (5) (2006)
1163–1175.
[19] L.A.F. Park, K. Ramamohanarao, M. Palaniswami., A novel document retrieval method using the discrete wavelet transform, ACM Transactions on Information Systems 23 (3) (2005) 267–298. [20] Y. Yang, J. O. Pedersen, A comparative study on feature selection in text categorization, in: Proceedings of the International Workshop on Machine Learning, 1997.
[21] M. Steinbach, G. Karypis, V. Kumar, A comparison of document clustering techniques, in: Proceedings of the KDD Workshop on Text Mining, 2000.
[22] F. Sebastiani, Machine learning in automated text categorization, ACM Computing Surveys 34 (1) (2002) 1–47.
[23] M. Fuketa, S. Lee, T. Tsuji, M. Okada, J. Aoe., A document classi?cation method by using ?eld association words, Information Sciences 126 (1–4) (2000) 57–70. [24] C.M. Tan, Y.F. Wang, C.D. Lee., The use of bigrams to enhance text categorization, Information Processing and Management 38 (4) (2002) 529–546.
[25] M.L. Antonie, O.R. Zaiane, Text document categorization by term association,in: Proceedings of the IEEE International Conference on Data Mining ICDM2002), 2002, pp. 19–26.
[26] A. Selamat, S. Omatu, Web page feature selection and classi?cation using neural networks, Information Sciences 158 (2004) 69–88.
[27] L.M. Manevitz, M. Yousef., One-class SVMs for document classi?cation,Journal of Machine Learning Research 2 (2001) 139–154.
[28] S. Singh, L. Dey., A new customized document categorization scheme using rough membership, Applied Soft Computing 5 (4) (2005) 373–390.
[29] N. Bouguila, Clustering of count data using generalized Dirichlet multinomial distributions, IEEE Transactions on Knowledge and Data Engineering 20 (4)(2008) 462–474.
[30] X. Cui, J. Gao, T.E. Potok., A ?ocking based algorithm for document clustering analysis, Journal of Systems Architecture 52 (8–9) (2006) 505–515.
[31] B. C. M. Fung, K. Wang, M. Ester, Hierarchical document clustering using frequent itemsets, in: Proceedings of the Third SIAM International Conference on Data Mining, 2003, pp. 59–70. [32] S.L. Bang, J.D. Yang, H.J. Yang, Hierarchical document categorization with k-NN and concept-based thesauri, Information Processing and Management 42(2006) 387–406.
[33] A. Parker, J.O. Hamblen, Computer algorithms for plagiarism detection, IEEE Transactions on Education 32 (2) (1989) 94–99.
[34] S. Brin, J. Davis, H. Garcia-Molina, Copy detection mechanisms for digital documents, in: Proceedings of the of The ACM SIGMOD Annual Conference,1995, pp. 398–409.
[35] N. Shivakumar, H. Garcia-Molina, Building a scalable and accurate copy detection mechanism, in: Proceedings of the First ACM Conference on Digital Libraries (DL’96), Bethesda, MD, 1996, pp. 160–168.
[36] K. Monostori, A. Zaslavsky, H. Schmidt, MatchDetec …… 此处隐藏:6670字,全部文档内容请下载后查看。喜欢就下载吧 ……
相关推荐:
- [政务民生]2013年公共基础知识热点问题(七)
- [政务民生]检验检测机构资质认定评审准则及释义20
- [政务民生]关于印发重庆市房屋建筑和市政基础设施
- [政务民生]1、隧道洞身开挖支护施工技术交底书
- [政务民生]2015年山东省17地市中考语文试题分类汇
- [政务民生]2-高级会计师资格考试和评审流程图
- [政务民生]2018版中国清分机行业发展分析及前景策
- [政务民生]新课改高中政治探究
- [政务民生]2018-2024年中国新型组合房屋行业投资
- [政务民生]2015年上海市春季高考数学模拟试卷五
- [政务民生]灌砂法及环刀法测压实度(带计算过程)
- [政务民生]运筹学实验2求解非线性规划
- [政务民生]劝学、逍遥游默写(教师卷)
- [政务民生]《运筹学》 - 期末考试 - 试卷A - 答案
- [政务民生]八年级英语下册 Module 6 Hobbies测试
- [政务民生]2019年宪法知识竞赛试题库100题(含答
- [政务民生]自动化英文文献翻译
- [政务民生]公文格式实施细则
- [政务民生]高一地理上册课堂跟踪练习题6
- [政务民生]会计继续教育习题及答案
- 第三章 无约束最优化方法
- 泛读教程第三册答案
- 魏晋南北朝文学
- 幂的运算复习题
- 城市环境问题的成因与治理策略_以社会
- 钢结构行业产业链及竞争分析研究
- 新型热塑性弹性体增韧聚丙烯的研究
- 中国旅游地理B卷试题及答案
- (苏教版)五年级数学上册第三单元测试卷
- 不稳定性心绞痛诊断与治疗
- 俞氏国际后勤职能部门绩效考核办法
- GB7258-2017新标准考试题含答案
- 小学生汉字听写比赛活动方案
- 1.3《平抛运动》学案 教科版必修2
- 2011香港特别行政区公务员考试复习资料
- 考虑水力条件变化的城市给水管网可靠性
- 表面活性剂在油田开发和生产中的应用
- ITT内部培训资料-FI端吸泵的介绍
- 文明守纪,从我做起学生发言稿
- 初中读《聊斋志异》心得体会800字范文




