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6th ICDM Workshops 2006: Hong Kong, China
- Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China. IEEE Computer Society 2006, ISBN 0-7695-2702-7
Workshop on Ontology Mining and Knowledge Discovery from Semistructured Documents
- Lei Zou, Yansheng Lu, Huaming Zhang, Rong Hu:
Mining Frequent Induced Subtree Patterns with Subtree-Constraint. 3-7 - Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabeth Chang
:
Razor: mining distance-constrained embedded subtrees. 8-13 - Hitohiro Shiozaki, Tomonobu Ozaki, Takenao Ohkawa:
Mining Closed and Maximal Frequent Induced Free Subtrees. 14-18 - Xinghua Hu, Bin Wu:
Automatic Keyword Extraction Using Linguistic Features. 19-23 - Érick Lopez-Ornelas, Florence Sèdes
A Semi-Structured representation for Knowledge Discovering using Remote Sensing Images. 24-28 - Gerhard Friedrich, Kostyantyn M. Shchekotykhin
NameIt: Extraction of product names. 29-33 - Ana Cristina Bicharra Garcia, Inhaúma Neves Ferraz, Fernando Bicharra Pinto:
The Role of Domain Ontology in Text Mining Applications: The ADDMiner Project. 34-38 - Shady Shehata, Fakhri Karray, Mohamed S. Kamel:
Enhancing Text Retrieval Performance using Conceptual Ontological Graph. 39-44 - Philip Zigoris, Damian Eads, Yi Zhang
Unsupervised Learning of Tree Alignment Models for Information Extraction. 45-49 - Li Wei, John C. Handley, Nathaniel Martin, Tong Sun, Eamonn J. Keogh:
Clustering Workflow Requirements Using Compression Dissimilarity Measure. 50-54 - Ronnie Bathoorn, Arne Koopman, Arno Siebes:
Reducing the Frequent Pattern Set. 55-59 - Michal Kozielski:
Improving the Results and Performance of Clustering Bit-encoded XML Documents. 60-64 - Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi:
A New Algorithm for Mining Fuzzy Association Rules in the Large Databases Based on Ontology. 65-69 - Laura Irina Rusu, J. Wenny Rahayu, David Taniar:
Extracting Variable Knowledge from Multiversioned XML Documents. 70-74 - Kunal Punera, Suju Rajan, Joydeep Ghosh:
Automatic Construction of N-ary Tree Based Taxonomies. 75-79 - Colin DeLong, Sandeep Mane, Jaideep Srivastava:
Concept-Aware Ranking: Teaching an Old Graph New Moves. 80-88
International Workshop on Data Mining in Bioinformatics
- Gunjan Gupta, Alexander Liu, Joydeep Ghosh:
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets. 89-93 - Panagiotis Papapetrou, Gary Benson, George Kollios
Discovering Frequent Poly-Regions in DNA Sequences. 94-98 - Pai-Hsi Huang, Vladimir Pavlovic
Sparse Logistic Classifiers for Interpretable Protien Homology Detection. 99-103 - Meghana Deodhar, Joydeep Ghosh:
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data. 104-108 - Patrick C. H. Ma, Keith C. C. Chan:
Inference of Gene Regulatory Networks from Time Series Expression Data: A Data Mining Approach. 109-113 - Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivier Bodenreider, Alban Chesneau:
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions. 114-119 - Lijuan Zhang, Zhoujun Li, Huowang Chen, Jian Wen:
Minimum Redundancy Gene Selection Based on Grey Relational Analysis. 120-124 - Thomas Wolf, Benedikt Brors
Global Biclustering of Microarray Data. 125-129 - Shi-Hua Zhang, Hong-Wei Liu, Xue-Mei Ning, Xiang-Sun Zhang:
A Graph-Theoretic Method for Mining Functional Modules in Large Sparse Protein Interaction Networks. 130-135 - Giuseppe Di Fatta, Antonino Fiannaca, Riccardo Rizzo, Alfonso Urso, Michael R. Berthold, Salvatore Gaglio:
Context-Aware Visual Exploration of Molecular Datab. 136-141 - Kwangmin Choi, Amit Saple, Sun Kim:
Genome Data Type: a Vehicle to Deliver a Genome Comparison System on the Web. 142-146 - Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based Approach. 147-152 - Yuanchen He, Yuchun Tang, Yan-Qing Zhang, Rajshekhar Sunderraman:
Fuzzy-Granular Gene Selection from Microarray Expression Data. 153-157 - Michael K. Ng, Mark Junjie Li
Clustering of SNP Data with Application to Genomics. 158-162 - Cui Lin, Shiyong Lu, Xuwei Liang, Jing Hua:
GCA: A Coclustering Algorithm for Thalamo-Cortico-Thalamic Connectivity Analysis. 163-168 - Chang Hun You, Lawrence B. Holder, Diane J. Cook:
Application of Graph-based Data Mining to Metabolic Pathways. 169-173 - Claudia Plant
Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer. 174-179 - Frank Klawonn, Claudia Hundertmark, Lothar Jänsch:
A Maximum Likelihood Approach to Noise Estimation for Intensity Measurements in Biology. 180-184 - Brigitte Mathiak, Andreas Kupfer, Tatjana Scope, Britta Störmann, Silke Eckstein:
Using image classification for biomedical literature retrieval. 185-189 - Zhengzheng Xing, Dan Wu:
Modeling Multiple Time Units Delayed Gene Regulatory Network Using Dynamic Bayesian Network. 190-195 - Haixia Li, Karuturi R. Krishna Murthy:
Significance Analysis and Improved Discovery of Differentially Co-expressed Gene Sets in Microarray Data. 196-201 - Tuan D. Pham, Vikram Chandramohan, Xiaobo Zhou, Stephen T. C. Wong:
Robust Feature Extraction and Reduction of Mass Spectrometry Data for Cancer Classification. 202-206 - Margherita Berardi, Donato Malerba, Marcella Attimonelli:
Mining Information Extraction Models for HmtDB annotation. 207-212 - Fedja Hadzic, Tharam S. Dillon, Amandeep S. Sidhu
Mining Substructures in Protein Data. 213-217 - Sam Chao, Yiping Li:
Uncovering Potential Attribute Relevance via MIA-Processing in Data Mining. 218-222 - Mutlu Mete, Xiaowei Xu, Chun-Yang Fan, Gal Shafirstein
Head and Neck Cancer Detection in Histopathological Slides. 223-230
The Second International Workshop on Mining Complex Data
- Alexandre Blansché, Annett Wania, Pierre Gançarski:
Comparison of MACLAW with several attribute selection methods for classification in hyperspectral images. 231-236 - Tomoki Watanuma, Tomonobu Ozaki, Takenao Ohkawa:
Decision Tree Construction from Multidimensional Structured Data. 237-241 - Nabil Benayadi, Marc Le Goc, Philippe Bouché:
Discovering Manufacturing Process from Timed Data: the BJT4R Algorithm. 242-246 - Étienne Cuvelier, Monique Noirhomme-Fraiture:
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application. 247-252 - Stanislav Barton, Pavel Zezula:
Designing and Evaluating an Index for Graph Structured Data. 253-257 - Qingsong Peng, Ming Zhang, Weimin Wu, Ronggui Wang:
Variant Bayesian Networks. 258-262 - Christian Borgelt, Thorsten Meinl:
Full Perfect Extension Pruning for Frequent Graph Mining. 263-268 - Corrado Loglisci, Margherita Berardi:
Segmentation of Evolving Complex Data and Generation of Models. 269-273 - Toshihiro Kamishima, Shotaro Akaho
Efficient Clustering for Orders. 274-278 - Tomonobu Ozaki, Takenao Ohkawa:
Efficient Mining of Closed Induced Ordered Subtrees in Tree-structured Databases. 279-283 - Sen Qin, Guanzhong Dai, Yanling Li:
Mining System for Community Finding and Centrality of Virtual User Network on the Internet. 284-289 - Peter Christen:
A Comparison of Personal Name Matching: Techniques and Practical Issues. 290-294 - Thanh-Nghi Do, François Poulet:
Kernel-based Algorithms and Visualization for Interval Data Mining. 295-299 - Kazumi Saito, Takeshi Yamada:
Extracting Communities from Complex Networks by the k-dense Method. 300-304 - Hidenao Abe
Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method. 305-310 - Jianjun Hao, Huiping Li, Jihua Huang, Jiangang Zhang:
Development of a New Method for Data Mining Based Rough Set Theory. 311-314 - Peixiang Zhao, Jeffrey Xu Yu:
Fast Frequent Free Tree Mining in Graph Databases. 315-319 - Nan Du, Bin Wu, Liutong Xu, Bai Wang, Xin Pei:
A Parallel Algorithm for Enumerating All Maximal Cliques in Complex Network. 320-324 - Lamis Hawarah, Ana Simonet, Michel Simonet:
Dealing with Missing Values in a Probabilistic Decision Tree during Classification. 325-329 - Vicenç Soler, Jesús Cerquides, Josep Sabria, Jordi Roig, Marta Prim:
Imbalanced Datasets Classification by Fuzzy Rule Extraction and Genetic Algorithms. 330-336
First International Workshop on Spatial and Spatio-temporal Data Mining
- Hyunjin Yoon, Cyrus Shahabi:
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features. 337-342 - Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl
Spatial Multidimensional Sequence Clustering. 343-348 - Eric M. H. Lee, Keith C. C. Chan:
Discovering Association Patterns in Large Spatio-temporal Databases. 349-354 - Ali Khoshgozaran, Ali Khodaei, Mehdi Sharifzadeh, Cyrus Shahabi:
A Multi-Resolution Compression Scheme for EfficientWindow Queries over Road Network Databases. 355-360 - Jeffrey Chan, James Bailey, Christopher Leckie:
Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. 361-365 - Ning Liu, Shuzhen Nong, Jun Yan, Benyu Zhang, Zheng Chen, Ying Li:
Similarity of Temporal Query Logs Based on ARIMA Model. 366-370 - Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal:
Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract. 371-376 - Chan-Hyun Kang, Jung-Rae Hwang, Ki-Joune Li:
Trajectory Analysis for Soccer Players. 377-381 - Florian Verhein:
k-STARs: Sequences of Spatio-Temporal Association Rules. 387-394
Foundation of Data Mining and Novel Techniques in High Dimensional Structural and Unstructured Data
- Yi Peng, Gang Kou
A Systemic Framework for the Field of Data Mining and Knowledge Discovery. 395-399 - Yi Guan, Jian Zhao:
An Improved Feature Representation Method for Maximum Entropy Model. 400-406 - William Zhu, Fei-Yue Wang:
Properties of the First Type of Covering-Based Rough Sets. 407-411 - Tsau Young Lin, Albert Sutojo, Jean-David Hsu:
Concept Analysis andWeb Clustering using Combinatorial Topology. 412-416 - Jan Rauch:
Many Sorted Observational Calculi for Multi-Relational Data Mining. 417-422 - Haiyun Bian, Raj Bhatnagar:
Efficiently Mining Maximal 1-complete Regions from Dense Datasets. 423-427 - Minghua Zeng, Xiongfeng Pan, Qing Liu:
Algorithms on Discretizing Continuous Attributes Values and Its Application to Synthetical Test and Evaluation of Patent Strength. 428-432 - Shusaku Tsumoto, Shoji Hirano:
Residual Matrix and Statistical Independence in a Contingency Table. 433-437 - Minghong Zhou, Rubao Li, Wei Li:
Understanding theWeb Page Layout. 438-442 - Vincent S. Tseng, Chun-Hao Chen, Chien-Hsiang Chen, Tzung-Pei Hong:
Segmentation of Time Series by the Clustering and Genetic Algorithms. 443-447 - Wei Jin, Rohini K. Srihari:
Knowledge Discovery across Documents through Concept Chain Queries. 448-452 - Nicolas Carrez, Jean-Charles Lamirel, Shadi Al Shehabi:
Extracting Informative Rules from High Dimensional Data Using a Numerical Approach. 453-457 - Roni Romano
Cascaded Data Mining Methods for Text Understanding, with medical case study. 458-462 - Chun-Chih Liao
A simple genetic algorithm for tracing the deformed midline on a single slice of brain CT using quadratic Bézier curves. 463-467 - Asuman Suenbuel, Ming-Shien Shan:
Towards Enterprise Archeology: Extracting Business Processes from Runtime Event Data. 468-473 - Shenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Makky
Mining the Future: Predicting Itemsets' Support of Association Rules Mining. 474-478 - Kevin Y. Yip
Input Validation for Semi-supervised Clustering. 479-483 - Viet Phuong Nguyen, Takashi Washio:
Modeling Dynamic Substate Chains among Massive States for Prediction. 484-489 - Amruta Joshi, Rajeev Motwani:
Keyword Generation for Search Engine Advertising. 490-496
International Workshop on Privacy Aspects of Data Mining
- Peter Christen:
Privacy-Preserving Data Linkage and Geocoding: Current Approaches and Research Directions. 497-501 - George V. Moustakides, Vassilios S. Verykios
A Max-Min Approach for Hiding Frequent Itemsets. 502-506 - Li Liu, Bhavani Thuraisingham:
The Applicability of the Perturbation Model-based Privacy Preserving Data Mining for Real-world Data. 507-512 - Jie Wang, Weijun Zhong, Jun Zhang:
NNMF-Based Factorization Techniques for High-Accuracy Privacy Protection on Non-negative-valued Datasets. 513-517 - Tiancheng Li, Ninghui Li:
Optimal k-Anonymity with Flexible Generalization Schemes through Bottom-up Searching. 518-523 - Wei Jiang, Chris Clifton:
Transforming Semi-Honest Protocols to Ensure Accountability. 524-529 - Zhihui Wang, Wei Wang, Baile Shi, S. H. Boey:
Preserving Private Knowledge in Frequent Pattern Mining. 530-534 - Geetha Jagannathan, Rebecca N. Wright:
Privacy-Preserving Data Imputation. 535-540 - Mark Shaneck, Yongdae Kim
Privacy Preserving Nearest Neighbor Search. 541-545 - Justin Zhijun Zhan, Stan Matwin:
A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining. 546-550 - Ling Qiu, Yingjiu Li, Xintao Wu
An Approach to Outsourcing Data Mining Tasks while Protecting Business Intelligence and Customer Privacy. 551-558
International Workshop on Data Mining for Design and Marketing 2006
- Kenichi Horie, Yoshiharu Maeno, Yukio Ohsawa:
Designing New Product Scenarios for Patent by Human-Interactive Annealing with Pictogram. 559-564 - Yoko Nishihara, Wataru Sunayama, Masahiko Yachida:
Estimation System of People's Freindship and Hierarchical Relationship from Sentence Types. 565-569 - Takanobu Nakahara, Hiroyuki Morita:
Pattern Mining in POS Data using a Historical Tree. 570-574 - Wataru Sunayama, Katsutoshi Yada:
The River-Rafting System for Knowledge Discovery Related to Persuasion Process Conversation Logs. 575-579 - Indranil Bose, Chen Xi:
Exploring Business Opportunities from Mobile Service Data of Customers Using Inter-cluster Analysis. 580-584 - Bin Shi, Kuiyu Chang:
Mining Chinese Reviews. 585-589 - Kenta Fukata, Takashi Washio, Hiroshi Motoda:
A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis. 590-595 - Lihua Zhao, Jennifer Harris:
Market Research Design on Modeling Propensity to Purchase and Market Potential: Using GIS and Data Mining as the Tools. 596-600 - Wenxue Huang, Milorad Krneta, Limin Lin, Jianhong Wu:
Association Bundle - A New Pattern for Association Analysis. 601-605 - Daniel Fleder, Balaji Padmanabhan:
Cluster Evolution and Interpretation via Penalties. 606-614
IEEE International Workshop on Mining Evolving and Streaming Data
- Hui Zhang, Han-Tao Song:
Fuzzy Related Classification Approach Based on Semantic Measurement for Web Document. 615-619 - Clifton Phua, Ross W. Gayler
Communal Detection of Implicit Personal Identity Streams. 620-625 - Yi Fang, Auroop R. Ganguly, Nagendra Singh, Veeraraghavan Vijayaraj, Neal Feierabend, David T. Potere:
Online change detection: Monitoring land cover from remotely sensed data. 626-631 - Anita Dani
Modeling Evaluation Of Continuous Queries on SlidingWindows. 632-637 - Dimitris K. Tasoulis, Niall M. Adams, David J. Hand:
Unsupervised Clustering In Streaming Data. 638-642 - Frank Klawonn
Evolving Extended Naive Bayes Classifiers. 643-647 - Shicong Meng, Yifeng Shao, Cong Shi, Dingyi Han, Yong Yu:
Mining and Predicting Duplication over Peer-to-Peer Query Streams. 648-652 - Shuang Wu, Chunyu Yang, Jie Zhou:
Clustering-training for Data Stream Mining. 653-656 - Willie Ng, Manoranjan Dash:
An Evaluation of Progressive Sampling for Imbalanced Data Sets. 657-661 - Manoranjan Dash, Willie Ng:
Efficient Reservoir Sampling for Transactional Data Streams. 662-666 - Barna Saha, Pabitra Mitra:
Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree. 667-671 - Hua-Fu Li, Chin-Chuan Ho, Fang-Fei Kuo, Suh-Yin Lee:
A New Algorithm for Maintaining Closed Frequent Itemsets in Data Streams by Incremental Updates. 672-676 - Chin-Chuan Ho, Hua-Fu Li, Fang-Fei Kuo, Suh-Yin Lee:
Incremental Mining of Sequential Patterns over a Stream Sliding Window. 677-681 - Chunyu Yang, Jie Zhou:
HClustream: A Novel Approach for Clustering Evolving Heterogeneous Data Stream. 682-688
Workshop on Risk Mining 2006
- Shinichi Goda, Yukio Ohsawa:
Chance Discovery in Credit Risk Management. 689-693 - Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
Unusual Condition Mining for Risk Management of Hydroelectric Power Plants. 694-698 - Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
Risk Mining in Hospital Information Systems. 699-704 - Akinori Abe, Hiromi Itoh Ozaku, Noriaki Kuwahara, Kiyoshi Kogure:
Cooperation Between Abductive and Inductive Nursing Risk Management. 705-708 - Ryutaro Ichise, Hideaki Takeda, Satoshi Kouno, Taichi Muraki:
A mining method of communities keeping tacit knowledge. 709-713 - Yoshiharu Maeno, Kiichi Ito, Kenichi Horie, Yukio Ohsawa:
Human-interactive annealing for turning threat to opportunity in technology development. 714-717 - Luc Beaudoin, P. Eng:
Asset Valuation Technique for Network Management and Security. 718-721 - Yong Hu, Juhua Chen, Zhenbang Rong, Mei Liu, Kang Xie:
A Neural Networks Approach for Software Risk Analysis. 722-725 - Sadaaki Miyamoto:
Classification and Clustering: A Perspective toward Risk Mining. 726-730 - Dajun Wang, Paul J. Fortier, Howard E. Michel, Theophano Mitsa:
Hierarchical Agglomerative Clustering Based T-outlier Detection. 731-738
IEEE International Workshop on Reliability Issues of Knowledge Discovery
- Evgueni N. Smirnov, A. M. Kaptein:
Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification. 739-743 - Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev:
Generalizing Version Space Support Vector Machines for Non-Separable Data. 744-748 - Ke Wang, James N. K. Liu, Weimin Ma:
Mining the Most Reliable Association Rules with Composite Items. 749-754 - Yi Feng, Zhaohui Wu:
Enhancing Reliability throughout Knowledge Discovery Process. 754-758 - Miho Ohsaki, Hidenao Abe
Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures. 759-764 - Bin Shen, Min Yao, Zhaohui Wu, Yangu Zhang, Wensheng Yi:
Ontology-based Association Rules Retrieval using Protege Tools. 765-769 - Ling Zhuang, Honghua Dai:
Reducing performance Bias for Unbalanced Text Mining. 770-774 - Honghua Dai:
A Study on Reliability in Graph Discovery. 775-779 - Mondher Maddouri, Fatma Kaâbi:
On Statistical Measures for Selecting Pertinent Formal Concepts to Discover Production Rules from Data. 780-784 - Fadi A. Thabtah:
Challenges and Interesting Research Directions in Associative Classification. 785-792
Workshop on Optimization-Based Data Mining Techniques with Applications
- Haixiang Guo, Kejun Zhu, Si-wei Gao, Ting Liu:
An Improved Genetic k-means Algorithm for Optimal Clustering. 793-797 - Guojie Song, Dongqing Yang, Ling Wu, Tengjiao Wang, Shiwei Tang:
A Mixed Process Neural Network and its Application to Churn Prediction in Mobile Communications. 798-802 - Gang Kou
Network Intrusion Detection by Multi-group Mathematical Programming based Classifier. 803-807 - Quanling Wei, Hong Yan:
Data Envelopment Analysis Assessment Machine. 808-812 - Kun Zhao, Ying-Jie Tian, Naiyang Deng:
Unsupervised and Semi-Supervised Two-class Support Vector Machines. 813-817 - Jianping Li
Bounded Support Vector Machines, Semidefinite. 818-822 - Lean Yu, Kin Keung Lai, Shouyang Wang
Credit Risk Assessment with Least Squares Fuzzy Support Vector Machines. 823-827 - Aihua Li
A Data Mining Approach to Classify Credit Cardholders' Behavior. 828-832 - Xingsen Li, Yong Shi, Ying Liu, Jun Li, Aihua Li
A Knowledge Management Platform for Optimization-based Data Mining. 833-837 - Yi Peng, Gang Kou
A Hybrid Strategy for Clustering Data Mining Documents. 838-842 - Guangli Nie, Lingling Zhang, Xingsen Li, Yong Shi:
The Analysis on the Customers Churn of Charge Email Based on Data Mining Take One Internet Company for Example. 843-847 - Bo Wang, Mingwei Zhang, Bin Zhang, Wei-Jie Wei:
An Effective Hypergraph Clustering in Multi-Stage Data Mining of Traditional Chinese Medicine Syndrome Differentiation. 848-852 - Jiang Yun, Zhanhuai Li, Wang Yong, Longbo Zhang:
A Better Classifier Based on Rough Set and Neural Network for Medical Images. 853-857 - Richi Nayak
Influencing Factors in Achieving Active Ageing. 858-862 - Yasutoshi Yajima, Tien-Fang Kuo:
Optimization Approaches for Semi-Supervised Multiclass Classification. 863-867 - Rong Liu, Yong Shi:
A RBF classifier with supervised center selection and weighted norm. 868-872 - Hao Chen, Lijun Chen, Thomas P. Albright, Qinfeng Guo:
Improved Logistic Regression Approach to Predict the Potential Distribution of Invasive Species Using Information Theory and Frequency Statistics. 873-877 - Huanhuan Chen, Peter Tiño, Xin Yao:
A Probabilistic Ensemble Pruning Algorithm. 878-882
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