《Ensemble Methods in Data Mining》是Morgan and Claypool Publishers出版的圖書，作者是Giovanni Seni，John Elder
in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, ...
The field of data mining grew out of the limitations of current data analysis techniques in handling the challenges posed by these new types of data sets．Data mining does not replace other areas of data analysis，but rat．Her takes them as the foundation for much of its work．While some ...
5.6.2 Methods for Constructing an Ensemble Classifier 204 5.6.3 Bias-Variance Decomposition 206 5.6.4 Bagging 209 5.6.5 Boosting 211 5.6.6 Random Forests 215 5.6.7 Empirical Comparison among Ensemble Methods 216 5.7 Class Imbalance Problem 217 5.7.1 Alternative Metrics 218...
5.6.2 methods for constructing an ensemble classifier 278 5.6.3 bias-variance decomposition 281 5.6.4 bagging 283 5.6.5 boosting 285 5.6.6 random forests 290 5.6.7 empirical comparison among ensemble methods 294 5.7 class imbalance problem 294 5.7.1 alternative metrics 295 5.7.2 ...
劉胥影，博士，東南大學計算機科學與工程學院助理教授。個人經歷 Professional Activity 主講課程 Artificial Intelligence (18/17/16/15/14 Autumn)C++ Programming Language (14/13/12/11 Spring)學術成果 Book Chapters X.-Y. Liuand Z.-H. Zhou. Ensemble methods for class imbalance learning (Chapter 4). In...
9.6.2 Data Mining Trends 數據挖掘趨勢 ………495 9.7 Technologies for Big Data 大數據技術 ………498 9.7.1 Emerging Analytic Methods 新興分析方法 ………500 9.7.2 Emerging Technologies for Higher Levels of Scalability 用於更高層次可擴展性的新興技術 ………503 Appendix A Genetic Algorithm (...
major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for "wide" data ...
Wen Zhang*, Hua Zou, Longqiang Luo, Qianchao Liu, Weijian Wu, and Wenyi Xiao. Predicting potential side effects of drugs by recommender methods and ensemble learning. Neurocomputing, 2015, 173(3):979-987.Wen Zhang*, Yanqing Niu, Hua Zou, Longqiang Luo, Qianchao Liu, Weijian Wu. ...
Development of RNA-Seq count data simulator and analysis comparatively normalization methods from RNA-Seq data(基於RNA測序的基因表達量推算算法的比較、分析及工具開發)(Korea Centers for Disease Control and Prevention)Study on genetic information extraction algorithm using Bio-text mining(基於生物醫學文本挖掘...
4 Xu S，Shi H，Duan X，et al. Cardiovascular risk prediction method based on test analysis and data mining ensemble system[C]//Big Data Analysis（ICBDA），2016 IEEE International Conference on. IEEE，2016 學術成果 2006年申請發明專利“一種適用於同頻同時隙雙工的干擾消除方法”(專利號：ZL...
Guoxian Yu. Weighted-Object Ensemble Clustering, 13th IEEE International Conference on Data Mining (ICDM) (CCF B類會議), 627-636, 2013.12.7-2013.12.10(7) Jiehua Wu, Guoji Zhang,Yazhou Ren, Xiayan Zhang, and Guoxian Yu. Exploiti ng Neighbors’ Latent Correlation for Link Prediction in ...
Zhengshen Jiang, Hongzhi Liu*, Bin Fu, & Zhonghai Wu. A Novel Bayesian Ensemble Pruning Method, IEEE International Conference on Data Mining (ICDM 2016) PhD Forum, Barcelona, Spain, December 12-15, 2016：1205-1212.主要項目 企業合作項目，風險識別模型研究，負責人，2023-2024 國家重點研發計畫項目...
Several Multi criteria Programming Methods for Classification Multiple Criteria Mathematical Programming for Multi class Classification and Application in Network...Data Mining Via Multiple Criteria Linear Programming: Applications in Credit Card Portfolio Management Optimal System Design...
Section 6: Evolutionary Data Mining and Knowledge Discovery Research on Classification of Data Mining Based Niche Genetic Algorithm Research on Ensemble Multi-Instance Learning Research on New Methods of Resource Equilibrium Optimization Based on Particle Swarm Application of a Novel GEP in Function Finding...
22. Huichao Yin, Gaizhuo Zhang, Qiang Wu, Shangxian Yin, Mohamad Reza Soltanian, Hung Vo Thanh, Zhenxue Dai. A Deep Learning-Based Data-Driven Approach for Predicting Mining Water Inrush from Coal Seam Floor Using Microseismic Monitoring Data. IEEE Transactions on Geoscience ...
Liping Jing, T. Zeng and M.K. Ng, On gene selection and classification for cancer microarray data using multi-step clustering and sparse representation, Advances in adaptive data analysis,3(1):127-148, 2011. (EI)Liping Jing and M.K. Ng, Prior Knowledge Based Mining Functional Modules ...
(103) Huang Xin, Hu Ting, Li Jiayi, Wang Qing. Mapping Urban Areas in China Using Multi-source Data with A Novel Ensemble SVM Method. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(8): 4258-4273. (102) Yao Rui, Wang Lunche, Huang Xin, Niu Ying, Chen Yisen, Niu Zig...
4.5.5 evaluation using clickthrough data 171 4.6 practical caveats 173 4.7 trends and research issues 174 4.8 bibliographic discussion 174 5 relevance feedback and query expansion 177 5.1 introduction 177 5.2 a framework for feedback methods 178 5.3 explicit relevance feedback 180 5.3.1...
Machine Learning and Data Mining 學術成果 Projects:(1) 國家自然科學基金-面上項目(項目號：61876089；2019-2022；主持)(2) 國家自然科學基金-青年基金(項目號：61403206；2015-2017；主持)(3) 江蘇省自然科學基金-青年基金(項目號：BK20141005；2014-2016；主持)(4) 江蘇省高校自然科學研究項目資助(項目號：...
*, Xueqing Ji and LanxiangLiu, Multi-channel Neural Mass Modelling and Analyzing, SCIENCE CHINA Information Sciences, In press.5. G. Gu,D. Cui, Xiaoli Li . Segmentation ofOverlapping Leukocyte Images with Phase Detection and Spiral Interpolation,Computer Methods inBiomechanics and Biomedical ...
[5]Shifei Ding, Zichen Zhang, Lili Guo, Yuting Sun. An optimized twinsupport vector regression algorithm enhanced by ensemble empirical modedecomposition and gated recurrent unit. Information Sciences, 2022, 598:101-125. (WOS:000783324300007) [6]Yuting Sun,Shifei Ding,Zichen Zhang,Chenglong Zhang....
36. Huang, L., Zhang, Y.*, Lo, M.K., Cheng, Y.M., (2020): Comparative study of conditional methods in slope reliability evaluation. In: Computers and Geotechnics 127, 103762 37. Zhang, Z., Liu, M., Liu, X., Wang, X., Zhang, Y. (2021). Model identification of durability ...
Shanghai Action Projects of Technological Innovation 2017, Medical Healthcare Oriented Big Data Mining Platform and Application Paradigm, Co-PI, 2017/07-2019/06.National Natural Science Foundation of China – General Program, Research on Crowdsourcing-based Knowledge Graph Refinement, Main participant, ...
（110） Categorizing Social Multimedia by Neighborhood Decision using Local Pairwise Label Correlation, 2014 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOP (ICDMW), 2014, 第 3 作者 （111） CROSS MEDIA TOPIC ANALYTICS BASED ON SYNERGETIC CONTENT AND USER BEHAVIOR MODELING, 2014 IEEE ...
Wenchao Xiao, Yan Yang, Hongjun Wang, Yingge Xu, Clustering Ensemble and Application in HST Dataset, Proceedings of IEEE International Conference on Data Mining Workshop (ICDMW2014), pp 213-220, 2014 (EI)Jipeng Xie, Yan Yang, Tianrui Li, Weidong Jin, Learning Features from High Speed Train...
[74]Yu, L.*, Xu, Y., Xue, Y., Li, X., Cheng, Y., Liu, X., Porwal, A., Holden, EJ., Yang, J., Gong, P.2018. Land use/cover change dynamics in mining areas: A global perspective with Google Earth, Landsat and night-time light data.Ore Geology Reviews, 101: 675-687.[...
