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ORCIDPei-Pei Li 0001
Peipei Li 0001
Person information
- affiliation: Hefei University of Technology, Key Laboratory of Knowledge Engineering with Big Data, China
Other persons with the same name
- Pei-Pei Li (aka: Peipei Li) — disambiguation page
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2020 – today
- 2024
[j61]Yizhang Zou
, Xuegang Hu, Peipei Li, Yuhang Ge:
Learning shared and non-redundant label-specific features for partial multi-label classification. Inf. Sci. 656: 119917 (2024)- [j60]Yizhang Zou, Xuegang Hu, Pei-Pei Li:
Gradient-based multi-label feature selection considering three-way variable interaction. Pattern Recognit. 145: 109900 (2024) - [j59]Junwei Lv, Yuqi Chu, Jun Hu, Pei-Pei Li, Xuegang Hu:
Second-order Confidence Network for Early Classification of Time Series. ACM Trans. Intell. Syst. Technol. 15(1): 10:1-10:28 (2024) - [j58]Huiting Liu, Yu Zhang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu:
DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation. ACM Trans. Knowl. Discov. Data 18(1): 15:1-15:22 (2024) - [j57]Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li:
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data 18(2): 37:1-37:27 (2024) - [c45]Haoyang Liu, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu:
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. IJCAI 2024: 2045-2053 - [i4]Yizhang Zou, Xuegang Hu, Pei-Pei Li, Jun Hu, You Wu:
Online Multi-Label Classification under Noisy and Changing Label Distribution. CoRR abs/2410.02394 (2024) - 2023
- [j56]Huiting Liu, Kun Cai, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu:
REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation. Expert Syst. Appl. 213(Part): 118926 (2023) - [j55]Huiting Liu, Yi Chen, Pei-Pei Li, Peng Zhao, Xindong Wu:
Enhancing review-based user representation on learned social graph for recommendation. Knowl. Based Syst. 266: 110438 (2023) - [j54]Huiting Liu, Lei Wang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu:
Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation. Knowl. Based Syst. 272: 110579 (2023) - [j53]Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu:
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Trans. Big Data 9(1): 341-357 (2023) - [j52]Pei-Pei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu:
High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. IEEE Trans. Knowl. Data Eng. 35(8): 8085-8099 (2023) - [j51]Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li:
Adaptive Skeleton Construction for Accurate DAG Learning. IEEE Trans. Knowl. Data Eng. 35(10): 10526-10539 (2023) - [c44]Yizhang Zou, Xuegang Hu, Pei-Pei Li:
Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. ICKG 2023: 274-281 - [c43]Jiajun Li, Pei-Pei Li, Xuegang Hu:
Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. IJCNN 2023: 1-8 - [c42]Zexian Xie, Peipei Li, Jinling Jiang, Xindong Wu:
Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information. IJCNN 2023: 1-8 - [c41]Xiulan Yuan, Xuegang Hu, Pei-Pei Li:
Multi-source Multi-label Feature Selection. IJCNN 2023: 1-8 - 2022
- [j50]Huiting Liu, Qian Liu, Peipei Li, Peng Zhao, Xindong Wu:
A deep selective learning network for cross-domain recommendation. Appl. Soft Comput. 125: 109160 (2022) - [j49]Xiulin Zheng, Pei-Pei Li, Xindong Wu:
Data Stream Classification Based on Extreme Learning Machine: A Review. Big Data Res. 30: 100356 (2022) - [j48]Yang Li, Xue-Gang Hu, Lei Wang, Pei-Pei Li, Zhu-Hong You:
MNMDCDA: prediction of circRNA-disease associations by learning mixed neighborhood information from multiple distances. Briefings Bioinform. 23(6) (2022) - [j47]Yang Li, Xuegang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang:
Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. BMC Bioinform. 23-S(7): 518 (2022) - [j46]Yingying Liu, Pei-Pei Li, Xuegang Hu:
Combining context-relevant features with multi-stage attention network for short text classification. Comput. Speech Lang. 71: 101268 (2022) - [j45]Peng Zhou, Yunyun Zhang, Peipei Li, Xindong Wu:
General assembly framework for online streaming feature selection via Rough Set models. Expert Syst. Appl. 204: 117520 (2022) - [j44]Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang:
Error-aware Markov blanket learning for causal feature selection. Inf. Sci. 589: 849-877 (2022) - [j43]Boyan Wang, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu:
Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. 238: 107882 (2022) - [j42]Junlong Li, Pei-Pei Li, Xuegang Hu, Kui Yu:
Learning common and label-specific features for multi-Label classification with correlation information. Pattern Recognit. 121: 108259 (2022) - [j41]Yi Zhu, Xindong Wu, Jipeng Qiang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Representation learning with deep sparse auto-encoder for multi-task learning. Pattern Recognit. 129: 108742 (2022) - [c40]Yang Li, Xue-Gang Hu, Pei-Pei Li, Lei Wang, Zhu-Hong You:
Predicting circRNA-disease associations using similarity assessing graph convolution from multi-source information networks. BIBM 2022: 94-101 - [c39]Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li:
Multi-label Learning with Data Self-augmentation. ICONIP (4) 2022: 336-347 - [c38]Xinzheng Li, Yuhong Zhang, Peipei Li, Xuegang Hu:
Structure Similarity Graph for Cross-Network Node Classification. ICTAI 2022: 441-445 - [c37]Shiyuan Qiu, Peipei Li, Xuegang Hu:
Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification. IJCNN 2022: 1-8 - [c36]Xianliang Si, Peipei Li, Xuegang Hu, Yuhong Zhang:
An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. IJCNN 2022: 1-8 - [c35]Mengxuan Sun, Peipei Li, Junlong Li, Xuegang Hu:
Multi-Label Learning with Missing Labels via Common and Label-Specific Features. IJCNN 2022: 1-8 - [c34]Jing Wang, Peipei Li, Kui Yu:
Partial Multi-Label Feature Selection. IJCNN 2022: 1-9 - [c33]Yuhong Zhang, Lin Qian, Qi Zhang, Peipei Li, Guocheng Liu:
A Structure-Aware Method for Cross-domain Text Classification. PRICAI (2) 2022: 283-296 - [e1]Peipei Li, Kui Yu, Nitesh V. Chawla, Ronen Feldman, Qing Li, Xindong Wu:
IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022. IEEE 2022, ISBN 978-1-6654-5101-7 [contents] - 2021
- [j40]Peng Zhou, Peipei Li, Shu Zhao, Yanping Zhang:
Online early terminated streaming feature selection based on Rough Set theory. Appl. Soft Comput. 113(Part): 107993 (2021) - [j39]Huiting Liu, Jindou Zhao, Peipei Li, Peng Zhao, Xindong Wu:
Shared-view and specific-view information extraction for recommendation. Expert Syst. Appl. 186: 115752 (2021) - [j38]Huiting Liu, Geng Chen, Pei-Pei Li, Peng Zhao, Xindong Wu:
Multi-label text classification via joint learning from label embedding and label correlation. Neurocomputing 460: 385-398 (2021) - [j37]Huiting Liu, Lingling Guo, Peipei Li, Peng Zhao, Xindong Wu:
Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation. Inf. Sci. 565: 370-389 (2021) - [j36]Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu:
Semi-supervised classification on data streams with recurring concept drift and concept evolution. Knowl. Based Syst. 215: 106749 (2021) - [j35]Boyan Wang, Xuegang Hu, Pei-Pei Li, Philip S. Yu:
Cognitive structure learning model for hierarchical multi-label text classification. Knowl. Based Syst. 218: 106876 (2021) - [j34]Jiao Li, Chenyang Bu, Pei-Pei Li, Xindong Wu:
A coarse-to-fine collective entity linking method for heterogeneous information networks. Knowl. Based Syst. 228: 107286 (2021) - [j33]Pei-Pei Li, Man Wu, Junhong He, Xuegang Hu:
Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data. New Gener. Comput. 39(2): 341-376 (2021) - [j32]Peng Zhou, Peipei Li, Shu Zhao, Xindong Wu:
Feature Interaction for Streaming Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4691-4702 (2021) - [c32]Yuhong Zhang, Yuxin Xie, Pei-Pei Li, Xuegang Hu:
A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures. CCIS 2021: 449-454 - [c31]Xiulin Zheng, Peipei Li:
An Efficient Framework for Multi-Label Learning in Non-stationary Data Stream. ICBK 2021: 149-156 - [c30]Abdulkawi Yahya Radman Al-Shamiri, Peipei Li, Balqis Yahya Ali Abdullah Al-Mahweeti:
Discovering Risk Factors of High Intraocular Pressure Infection Using Data Mining Algorithms. ICCDA 2021: 13-19 - [c29]Junlong Li, Peipei Li, Yizhang Zou, Xuegang Hu:
Multi-Label Learning with Missing Features. IJCNN 2021: 1-8 - [c28]Yizhang Zou, Xuegang Hu, Peipei Li, Junlong Li:
Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set. IJCNN 2021: 1-9 - 2020
- [j31]Xiulin Zheng, Peipei Li, Zhe Chu, Xuegang Hu:
A Survey on Multi-Label Data Stream Classification. IEEE Access 8: 1249-1275 (2020) - [j30]Junwei Lv, Xuegang Hu, Lei Li, Peipei Li:
Corrections to "An Effective Confidence-Based Early Classification of Time Series". IEEE Access 8: 163044 (2020) - [j29]Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, Xuegang Hu:
Representation learning via serial robust autoencoder for domain adaptation. Expert Syst. Appl. 160: 113635 (2020) - [j28]Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, Xuegang Hu:
Semi-supervised representation learning via dual autoencoders for domain adaptation. Knowl. Based Syst. 190: 105161 (2020) - [j27]Lei Li, Fang Zhang, Zan Zhang, Peipei Li, Chenyang Bu:
Multi-fuzzy-objective graph pattern matching in big graph environments with reliability, trust and social relationship. World Wide Web 23(1): 649-669 (2020) - [c27]Xuegang Hu, Jianxing Liao, Peipei Li, Junwei Lv, Lei Li:
Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. ICKG 2020: 108-115 - [c26]Xuetao Tang, Xuegang Hu, Pei-Pei Li:
Dynamically Jointing character and word embedding for Chinese text Classification. ICKG 2020: 336-343
2010 – 2019
- 2019
- [j26]Junwei Lv, Xuegang Hu, Lei Li, Pei-Pei Li:
An Effective Confidence-Based Early Classification of Time Series. IEEE Access 7: 96113-96124 (2019) - [j25]Yuhong Zhang, Shuai Yang, Peipei Li, Xuegang Hu, Hao Wang:
Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. IEEE Access 7: 143015-143024 (2019) - [j24]Shuai Yang, Yuhong Zhang, Yi Zhu, Pei-Pei Li, Xuegang Hu:
Representation learning via serial autoencoders for domain adaptation. Neurocomputing 351: 1-9 (2019) - [j23]Yi Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu:
Transfer learning with deep manifold regularized auto-encoders. Neurocomputing 369: 145-154 (2019) - [j22]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
Online streaming feature selection using adapted Neighborhood Rough Set. Inf. Sci. 481: 258-279 (2019) - [j21]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
OFS-Density: A novel online streaming feature selection method. Pattern Recognit. 86: 48-61 (2019) - [c25]Zhe Chu, Peipei Li, Xuegang Hu:
Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream. ICBK 2019: 58-65 - [c24]Yuling Li, Yuhong Zhang, Peipei Li, Xuegang Hu:
Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training. ICBK 2019: 160-166 - [i3]Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu:
Semi-supervised representation learning via dual autoencoders for domain adaptation. CoRR abs/1908.01342 (2019) - 2018
- [j20]Xuegang Hu, Peng Zhou, Pei-Pei Li, Jing Wang, Xindong Wu:
A survey on online feature selection with streaming features. Frontiers Comput. Sci. 12(3): 479-493 (2018) - [j19]Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Transfer learning with stacked reconstruction independent component analysis. Knowl. Based Syst. 152: 100-106 (2018) - [j18]Xuegang Hu, Haiyan Wang, Pei-Pei Li:
Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection. Pattern Recognit. Lett. 116: 187-194 (2018) - [j17]Pei-Pei Li, Lu He, Haiyan Wang, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu:
Learning From Short Text Streams With Topic Drifts. IEEE Trans. Cybern. 48(9): 2697-2711 (2018) - [j16]Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu:
Employing Semantic Context for Sparse Information Extraction Assessment. ACM Trans. Knowl. Discov. Data 12(5): 54:1-54:36 (2018) - [c23]Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders. ICBK 2018: 83-90 - 2017
- [j15]Yuhong Zhang, Guang Chu, Pei-Pei Li, Xuegang Hu, Xindong Wu:
Three-layer concept drifting detection in text data streams. Neurocomputing 260: 393-403 (2017) - [j14]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
Online feature selection for high-dimensional class-imbalanced data. Knowl. Based Syst. 136: 187-199 (2017) - [c22]Peng Zhou, Xuegang Hu, Pei-Pei Li:
A New Online Feature Selection Method Using Neighborhood Rough Set. ICBK 2017: 135-142 - 2016
- [j13]Jianhan Pan, Xuegang Hu, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang, Yaojin Lin:
Domain adaptation via Multi-Layer Transfer Learning. Neurocomputing 190: 10-24 (2016) - [j12]Xuegang Hu, Jianhan Pan, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang:
Multi-bridge transfer learning. Knowl. Based Syst. 97: 60-74 (2016) - [c21]Pei-Pei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu:
Concept Based Short Text Stream Classification with Topic Drifting Detection. ICDM 2016: 1009-1014 - [c20]Lu Liu, Jing Zhang, Pei-Pei Li, Yuhong Zhang, Xuegang Hu:
A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data. WAIM (2) 2016: 369-379 - [i2]Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhongqiu Zhao, Xuegang Hu, Xindong Wu:
Online Feature Selection with Group Structure Analysis. CoRR abs/1608.05889 (2016) - 2015
- [j11]Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang:
An Incremental Decision Tree for Mining Multilabel Data. Appl. Artif. Intell. 29(10): 992-1014 (2015) - [j10]Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang:
Learning concept-drifting data streams with random ensemble decision trees. Neurocomputing 166: 68-83 (2015) - [j9]Jianhan Pan, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Yaojin Lin, Huizong Li, Wei He, Lei Li:
Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification. Knowl. Based Syst. 90: 199-210 (2015) - [j8]Yuhong Zhang, Xuegang Hu, Pei-Pei Li, Lei Li, Xindong Wu:
Cross-domain sentiment classification-feature divergence, polarity divergence or both? Pattern Recognit. Lett. 65: 44-50 (2015) - [j7]Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xuegang Hu, Xindong Wu:
A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity. IEEE Trans. Knowl. Data Eng. 27(10): 2604-2617 (2015) - [j6]Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhong-Qiu Zhao, Xuegang Hu, Xindong Wu:
Online Feature Selection with Group Structure Analysis. IEEE Trans. Knowl. Data Eng. 27(11): 3029-3041 (2015) - 2014
- [j5]Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu:
Robust Face Recognition via Adaptive Sparse Representation. IEEE Trans. Cybern. 44(12): 2368-2378 (2014) - [c19]Jing Zhang, Xuegang Hu, Pei-Pei Li, Wei He, Yuhong Zhang, Huizong Li:
A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE. ICPR 2014: 3684-3689 - [i1]Jing Wang, Canyi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu:
Robust Face Recognition via Adaptive Sparse Representation. CoRR abs/1404.4780 (2014) - 2013
- [c18]Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xindong Wu:
Computing term similarity by large probabilistic isA knowledge. CIKM 2013: 1401-1410 - [c17]Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu:
Assessing sparse information extraction using semantic contexts. CIKM 2013: 1709-1714 - 2012
- [j4]Xindong Wu, Pei-Pei Li, Xuegang Hu:
Learning from concept drifting data streams with unlabeled data. Neurocomputing 92: 145-155 (2012) - [j3]Pei-Pei Li, Xindong Wu, Xuegang Hu:
Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACM Trans. Intell. Syst. Technol. 3(2): 29:1-29:32 (2012) - 2011
- [c16]Juan Zhang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
An Efficient Ensemble Method for Classifying Skewed Data Streams. ICIC (3) 2011: 144-151 - [c15]Jiajia Feng, Fei Xie, Xuegang Hu, Pei-Pei Li, Jie Cao, Xindong Wu:
Keyword extraction based on sequential pattern mining. ICIMCS 2011: 34-38 - [c14]Pei-Pei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang:
Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams. PAKDD (1) 2011: 313-325 - 2010
- [j2]Pei-Pei Li, Xindong Wu, Xuegang Hu, Qianhui Liang, Yunjun Gao:
A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. Appl. Artif. Intell. 24(7): 680-710 (2010) - [c13]Pei-Pei Li, Xindong Wu, Xuegang Hu:
Learning from Concept Drifting Data Streams with Unlabeled Data. AAAI 2010: 1945-1946 - [c12]Yan Li, Yuhong Zhang, Xuegang Hu, Pei-Pei Li:
A classification algorithm for noisy data streams. FSKD 2010: 2239-2244 - [c11]Yuhong Zhang, Xuegang Hu, Canhua Mei, Pei-Pei Li:
A weighted algorithm of inductive transfer learning based on maximum entropy model. FSKD 2010: 2740-2745 - [c10]Jiaying He, Pei-Pei Li, Xuegang Hu, Xindong Wu:
A New Automatic Categorization Algorithm for Web Services. GrC 2010: 200-205 - [c9]Qun Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Xindong Wu:
A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. GrC 2010: 639-644 - [c8]Haiping Wang, Fei Xie, Xuegang Hu, Pei-Pei Li, Xindong Wu:
Pattern Matching with Flexible Wildcards and Recurring Characters. GrC 2010: 782-786 - [c7]Pei-Pei Li, Xindong Wu, Xuegang Hu:
Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACML 2010: 241-252
2000 – 2009
- 2009
- [c6]Qianhui Liang, Pei-Pei Li, Patrick C. K. Hung, Xindong Wu:
Clustering Web Services for Automatic Categorization. IEEE SCC 2009: 380-387 - [c5]Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Xindong Wu, Yuan-Jun Bi, Pei-Pei Li:
A relation extraction method of Chinese named entities based on location and semantic features. GrC 2009: 334-339 - [c4]Pei-Pei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao:
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees. MLDM 2009: 236-250 - [c3]Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu:
Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data. PAKDD 2009: 376-388 - 2008
- [c2]Pei-Pei Li, Xuegang Hu, Xindong Wu:
Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. ADMA 2008: 733-740 - 2007
- [j1]Xuegang Hu, Pei-Pei Li, Xindong Wu, Gong-Qing Wu:
A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams. J. Comput. Sci. Technol. 22(5): 711-724 (2007) - [c1]Xuegang Hu, Xiang Wei, Dexing Wang, Pei-Pei Li:
A Parallel Algorithm to Construct Concept Lattice. FSKD (2) 2007: 119-123
Coauthor Index
[j61] [j60] [j59] [c45] [i4] [j53] [j52] [c44] [c43] [c41] [j47] [j46] [j43] [j42] [j41] [c39] [c38] [c37] [c36] [c35] [j36] [j35] [j33] [c32] [c29] [c28] [j31] [j30] [j29] [j28] [c27] [c26] [j26] [j25] [j24] [j23] [j22] [j21] [c25] [c24] [i3] [j20] [j19] [j18] [j17] [c23] [j15] [j14] [c22] [j13] [j12] [c21] [c20] [i2] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [c19] [i1] [j4] [j3] [c16] [c15] [c14] [j2] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c5] [c4] [c3] [c2] [j1] [c1]