[1] KLEIN J T. The discourse of interdiciplinarity:perspectives from the "handbook of the undergraduate curriculum."[J]. Liberal education, 1998, 84(3):4-11.
[2] 王平. 基于层次概率主题模型的科技文献主题发现及演化[J]. 图书情报工作, 2014, 58(22):70-77.
[3] KOLLAR D, FRIEDMAN N. Probabilistic graphical models principles and techniques[M]. Cambridge:The MIT Press, 2009:713-715.
[4] LI L, JIN X, LONG M. Topic correlation analysis for cross-domain text classification[C]//AAAI Conference on Artificial Intelligence. Toronto:AAAI, 2012.
[5] POTAPENKO A, VORONTSOV K. Robust PLSA performs better than LDA[M]//Advances in information retrieval. Berlin:Springer, 2013:784-787.
[6] 杨良斌, 金碧辉. 跨学科研究中学科交叉度的定量分析探讨[J]. 情报杂志, 2009, 28(4):39-43.
[7] MORILLO F, BORDONS M, GOMEZ I. An approach to interdisciplinarity through bibliometric indicators[J]. Scientometrics, 2001, 51(1):203-222.
[8] SANZ-MENENDEZ L, BORDONS M, ZULUETA M A. Interdisciplinarity as a multidimensional concept:its measure in three different research areas[J]. Research evaluation, 2001, 10(1):47-58.
[9] SCHUMMER J. Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology[J]. Scientometrics, 2004, 59(3):425-465.
[10] 谭焱桐,邓小昭. 跨学科信息查寻行为研究文献综述[J]. 图书情报工作, 2015, 59(16):135-142.
[11] 闵超, 孙建军. 学科交叉研究热点聚类分析[J]. 图书情报工作, 2014, 58(1):109-116.
[12] 杨良斌. 跨学科指标测度的数据集构建及数据预处理研究[J]. 图书情报工作, 2013, 57(11):90-95.
[13] JONES P C, MERRITT J Q. Critical thinking and interdisciplinarity in environmental higher education:the case for epistemological and values awareness[J]. Journal of geography in higher education, 1999, 23(3):349-357.
[14] 赵琦, 张智雄, 孙坦, 等. 主题发现技术方法研究[J]. 情报理论与实践, 2009 (4):104-108.
[15] 范云满,马建霞.基于LDA与新兴主题特征分析的新兴主题探测研究[J].情报学报,2014,33(7):698-711.
[16] 黄鲁成,唐月强,吴菲菲,等.基于文献多属性测度的新兴主题识别方法研究[J].科学学与科学技术管理,2015(2):34-43.
[17] 唐晓波,房小可. 基于文本聚类与LDA相融合的微博主题检索模型研究[J]. 情报理论与实践, 2013 36(8):85-90.
[18] 郭卫宁, 司莉. 国内非相关文献知识发现研究综述[J]. 图书情报知识, 2013(6):97-105.
[19] ZHANG Y, HU X, LI P, et al. Cross-domain sentiment classification-feature divergence, polarity divergence or both?[J]. Pattern recognition letters, 2015, 65(C):44-50.
[20] MOREO F A, ESULI A, SEBASTIANI F. Distributional correspondence indexing for cross-lingual and cross-domain sentiment classification[J]. Journal of artificial intelligence research, 2016(55):131-163.
[21] MANNING C D, SCHUTZE H. Foundations of statistical natural language processing[M]. Cambridge:MIT Press, 1999.
[22] FUGLEDE B, TOPSOE F. Jensen-Shannon divergence and Hilbert space embedding[C]//IEEE international symposium on information theory, Washington:IEEE,2004:31-31.
[23] BENESTY J, CHEN J, HUANG Y, et al. Pearson correlation coefficient[M]//Noise reduction in speech processing, Berlin:Springer, 2009:1-4.
[24] JOPKE C, KREYLING J, MAES J, et al. Interactions among ecosystem services across Europe:Bagplots and cumulative correlation coefficients reveal synergies, trade-offs, and regional patterns[J]. Ecological indicators, 2015, 49(49):46-52.
[25] KULLBACK S, LEIBLER R A. On information and sufficiency[J]. The annals of mathematical statistics, 1951, 22(1):79-86.
[26] BAEZ J C, FRITZ T. A Bayesian characterization of relative entropy[J]. Theory and applications of categories, 2014, 29(16):422-456.
[27] BARTOL T, BUDIMIR G, JUZNIC P, et al. Mapping and classification of agriculture in Web of Science:other subject categories and research fields may benefit[J]. Scientometrics, 2016, 109(2):979-996.
[28] 薛晓丽, 武夷山. 跨学科研究的文献计量及可视化分析[J]. 情报杂志, 2014, 33(7):122-127.
[29] 刘琳. 畜牧学与兽医学学科发展报告[J]. 中国家禽, 2008, 30(19):32-38.
[30] 钟崇高.农学初步[M]//简明自然科学向导丛书.济南:山东科学技术出版社, 2013.
[31] 窦肇华.农学生殖生物学[M].北京:人民卫生出版社,2007.
[32] 田艳艳, 霍然, 王红梅, 等. 农学生殖生物学研究的发展及前沿[J]. 科学通报, 2015 (24):2282-2287.
[33] 高作信.兽医学[M].3版.北京:中国农业出版社,2010. |