Table of Contents

• Mining Frequent Induced Subtree Patterns with Subtree-ConstraintLei Zou, Yansheng Lu, Huaming Zhang, Rong Hu. 3-7 [doi]
• Razor: mining distance-constrained embedded subtreesHenry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabeth Chang. 8-13 [doi]
• Mining Closed and Maximal Frequent Induced Free SubtreesHitohiro Shiozaki, Tomonobu Ozaki, Takenao Ohkawa. 14-18 [doi]
• Automatic Keyword Extraction Using Linguistic FeaturesXinghua Hu, Bin Wu. 19-23 [doi]
• A Semi-Structured representation for Knowledge Discovering using Remote Sensing ImagesÉrick Lopez-Ornelas, Florence Sedes. 24-28 [doi]
• NameIt: Extraction of product namesGerhard Friedrich, Kostyantyn M. Shchekotykhin. 29-33 [doi]
• The Role of Domain Ontology in Text Mining Applications: The ADDMiner ProjectAna Cristina Bicharra Garcia, Inhaúma Neves Ferraz, Fernando Bicharra Pinto. 34-38 [doi]
• Enhancing Text Retrieval Performance using Conceptual Ontological GraphShady Shehata, Fakhri Karray, Mohamed S. Kamel. 39-44 [doi]
• Unsupervised Learning of Tree Alignment Models for Information ExtractionPhilip Zigoris, Damian Eads, Yi Zhang. 45-49 [doi]
• Clustering Workflow Requirements Using Compression Dissimilarity MeasureLi Wei, John Handley, Nathaniel Martin, Tong Sun, Eamonn J. Keogh. 50-54 [doi]
• Reducing the Frequent Pattern SetRonnie Bathoorn, Arne Koopman, Arno Siebes. 55-59 [doi]
• Improving the Results and Performance of Clustering Bit-encoded XML DocumentsMichal Kozielski. 60-64 [doi]
• A New Algorithm for Mining Fuzzy Association Rules in the Large Databases Based on OntologyZahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi. 65-69 [doi]
• Extracting Variable Knowledge from Multiversioned XML DocumentsLaura Irina Rusu, J. Wenny Rahayu, David Taniar. 70-74 [doi]
• Automatic Construction of N-ary Tree Based TaxonomiesKunal Punera, Suju Rajan, Joydeep Ghosh. 75-79 [doi]
• Concept-Aware Ranking: Teaching an Old Graph New MovesColin DeLong, Sandeep Mane, Jaideep Srivastava. 80-88 [doi]
• Hierarchical Density Shaving: A clustering and visualization framework for large biological datasetsGunjan Gupta, Alexander Liu, Joydeep Ghosh. 89-93 [doi]
• Discovering Frequent Poly-Regions in DNA SequencesPanagiotis Papapetrou, Gary Benson, George Kollios. 94-98 [doi]
• Sparse Logistic Classifiers for Interpretable Protien Homology DetectionPai-Hsi Huang, Vladimir Pavlovic. 99-103 [doi]
• Consensus Clustering for Detection of Overlapping Clusters in Microarray DataMeghana Deodhar, Joydeep Ghosh. 104-108 [doi]
• Inference of Gene Regulatory Networks from Time Series Expression Data: A Data Mining ApproachPatrick C. H. Ma, Keith C. C. Chan. 109-113 [doi]
• Predictive Integration of Gene Ontology-Driven Similarity and Functional InteractionsFrancisco Azuaje, Haiying Wang, Huiru Zheng, Olivier Bodenreider, Alban Chesneau. 114-119 [doi]
• Minimum Redundancy Gene Selection Based on Grey Relational AnalysisLijuan Zhang, Zhoujun Li, Huowang Chen, Jian Wen. 120-124 [doi]
• Global Biclustering of Microarray DataThomas Wolf, Benedikt Brors, Thomas Hofmann, Elisabeth Georgii. 125-129 [doi]
• A Graph-Theoretic Method for Mining Functional Modules in Large Sparse Protein Interaction NetworksShi-Hua Zhang, Hong-wei Liu, Xue-Mei Ning, Xiang-Sun Zhang. 130-135 [doi]
• Context-Aware Visual Exploration of Molecular DatabGiuseppe Di Fatta, Antonino Fiannaca, Riccardo Rizzo, Alfonso Urso, Michael R. Berthold, Salvatore Gaglio. 136-141 [doi]
• Genome Data Type: a Vehicle to Deliver a Genome Comparison System on the WebKwangmin Choi, Amit Saple, Sun Kim. 142-146 [doi]
• Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based ApproachYoung-Rae Cho, Woochang Hwang, Aidong Zhang. 147-152 [doi]
• Fuzzy-Granular Gene Selection from Microarray Expression DataYuanchen He, Yuchun Tang, Yan-Qing Zhang, Rajshekhar Sunderraman. 153-157 [doi]
• Clustering of SNP Data with Application to GenomicsMichael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang. 158-162 [doi]
• GCA: A Coclustering Algorithm for Thalamo-Cortico-Thalamic Connectivity AnalysisCui Lin, Shiyong Lu, Xuwei Liang, Jing Hua. 163-168 [doi]
• Application of Graph-based Data Mining to Metabolic PathwaysChang Hun You, Lawrence B. Holder, Diane J. Cook. 169-173 [doi]
• Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate CancerClaudia Plant, Melanie Osl, Bernhard Tilg, Christian Baumgartner. 174-179 [doi]
• A Maximum Likelihood Approach to Noise Estimation for Intensity Measurements in BiologyFrank Klawonn, Claudia Hundertmark, Lothar Jänsch. 180-184 [doi]
• Using image classification for biomedical literature retrievalBrigitte Mathiak, Andreas Kupfer, Tatjana Scope, Britta Störmann, Silke Eckstein. 185-189 [doi]
• Modeling Multiple Time Units Delayed Gene Regulatory Network Using Dynamic Bayesian NetworkZhengzheng Xing, Dan Wu. 190-195 [doi]
• Significance Analysis and Improved Discovery of Differentially Co-expressed Gene Sets in Microarray DataHaixia Li, Karuturi R. Krishna Murthy. 196-201 [doi]
• Robust Feature Extraction and Reduction of Mass Spectrometry Data for Cancer ClassificationTuan D. Pham, Vikram Chandramohan, Xiaobo Zhou, Stephen T. C. Wong. 202-206 [doi]
• Mining Information Extraction Models for HmtDB annotationMargherita Berardi, Donato Malerba, Marcella Attimonelli. 207-212 [doi]
• Mining Substructures in Protein DataFedja Hadzic, Tharam S. Dillon, Amandeep S. Sidhu, Elizabeth Chang, Henry Tan. 213-217 [doi]
• Uncovering Potential Attribute Relevance via MIA-Processing in Data MiningSam Chao, Yiping Li. 218-222 [doi]
• Head and Neck Cancer Detection in Histopathological SlidesMutlu Mete, Xiaowei Xu, Chun-Yang Fan, Gal Shafirstein. 223-230 [doi]
• Comparison of MACLAW with several attribute selection methods for classification in hyperspectral imagesAlexandre Blansché, Annett Wania, Pierre Gançarski. 231-236 [doi]
• Decision Tree Construction from Multidimensional Structured DataTomoki Watanuma, Tomonobu Ozaki, Takenao Ohkawa. 237-241 [doi]
• Discovering Manufacturing Process from Timed Data: the BJT4R AlgorithmNabil Benayadi, Marc Le Goc, Philippe Bouché. 242-246 [doi]
• A Probability Distribution Of Functional Random Variable With A Functional Data Analysis ApplicationEtienne Cuvelier, Monique Noirhomme-Fraiture. 247-252 [doi]
• Designing and Evaluating an Index for Graph Structured DataStanislav Barton, Pavel Zezula. 253-257 [doi]
• Variant Bayesian NetworksPeng Qingsong, Zhang Ming, Wu Weimin, Wang Ronggui. 258-262 [doi]
• Full Perfect Extension Pruning for Frequent Graph MiningChristian Borgelt, Thorsten Meinl. 263-268 [doi]
• Segmentation of Evolving Complex Data and Generation of ModelsCorrado Loglisci, Margherita Berardi. 269-273 [doi]
• Efficient Clustering for OrdersToshihiro Kamishima, Shotaro Akaho. 274-278 [doi]
• Efficient Mining of Closed Induced Ordered Subtrees in Tree-structured DatabasesTomonobu Ozaki, Takenao Ohkawa. 279-283 [doi]
• Mining System for Community Finding and Centrality of Virtual User Network on the InternetSen Qin, Guanzhong Dai, Yanling Li. 284-289 [doi]
• A Comparison of Personal Name Matching: Techniques and Practical IssuesPeter Christen. 290-294 [doi]
• Kernel-based Algorithms and Visualization for Interval Data MiningThanh-Nghi Do, François Poulet. 295-299 [doi]
• Extracting Communities from Complex Networks by the k-dense MethodKazumi Saito, Takeshi Yamada. 300-304 [doi]
• Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support MethodHidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. 305-310 [doi]
• Development of a New Method for Data Mining Based Rough Set TheoryJianjun Hao, Huiping Li, Jihua Huang, Jiangang Zhang. 311-314 [doi]
• Fast Frequent Free Tree Mining in Graph DatabasesPeixiang Zhao, Jeffrey Xu Yu. 315-319 [doi]
• A Parallel Algorithm for Enumerating All Maximal Cliques in Complex NetworkNan Du, Bin Wu, Liutong Xu, Bai Wang, Xin Pei. 320-324 [doi]
• Dealing with Missing Values in a Probabilistic Decision Tree during ClassificationLamis Hawarah, Ana Simonet, Michel Simonet. 325-329 [doi]
• Imbalanced Datasets Classification by Fuzzy Rule Extraction and Genetic AlgorithmsVicenç Soler, Jesús Cerquides, Josep Sabria, Jordi Roig, Marta Prim. 330-336 [doi]
• Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial FeaturesHyunjin Yoon, Cyrus Shahabi. 337-342 [doi]
• Spatial Multidimensional Sequence ClusteringIra Assent, Ralph Krieger, Boris Glavic, Thomas Seidl. 343-348 [doi]
• Discovering Association Patterns in Large Spatio-temporal DatabasesEric M. H. Lee, Keith C. C. Chan. 349-354 [doi]
• A Multi-Resolution Compression Scheme for EfficientWindow Queries over Road Network DatabasesAli Khoshgozaran, Ali Khodaei, Mehdi Sharifzadeh, Cyrus Shahabi. 355-360 [doi]
• Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving GraphsJeffrey Chan, James Bailey, Christopher Leckie. 361-365 [doi]
• Similarity of Temporal Query Logs Based on ARIMA ModelNing Liu, Shuzhen Nong, Jun Yan, Benyu Zhang, Zheng Chen, Ying Li. 366-370 [doi]
• Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended AbstractVijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal. 371-376 [doi]
• Trajectory Analysis for Soccer PlayersChan-Hyun Kang, Jung-Rae Hwang, Ki-Joune Li. 377-381 [doi]
• k-STARs: Sequences of Spatio-Temporal Association RulesFlorian Verhein. 387-394 [doi]
• A Systemic Framework for the Field of Data Mining and Knowledge DiscoveryYi Peng, Gang Kou, Yong Shi, Zhengxin Chen. 395-399 [doi]
• An Improved Feature Representation Method for Maximum Entropy ModelGuan Yi, Zhao Jian. 400-406 [doi]
• Properties of the First Type of Covering-Based Rough SetsWilliam Zhu, Fei-Yue Wang. 407-411 [doi]
• Concept Analysis andWeb Clustering using Combinatorial TopologyTsau Young Lin, Albert Sutojo, Jean-David Hsu. 412-416 [doi]
• Many Sorted Observational Calculi for Multi-Relational Data MiningJan Rauch. 417-422 [doi]
• Efficiently Mining Maximal 1-complete Regions from Dense DatasetsHaiyun Bian, Raj Bhatnagar. 423-427 [doi]
• Algorithms on Discretizing Continuous Attributes Values and Its Application to Synthetical Test and Evaluation of Patent StrengthMinghua Zeng, Xiongfeng Pan, Qing Liu. 428-432 [doi]
• Residual Matrix and Statistical Independence in a Contingency TableShusaku Tsumoto, Shoji Hirano. 433-437 [doi]
• Understanding theWeb Page LayoutMinghong Zhou, Rubao Li, Wei Li. 438-442 [doi]
• Segmentation of Time Series by the Clustering and Genetic AlgorithmsVincent S. Tseng, Chun-Hao Chen, Chien-Hsiang Chen, Tzung-Pei Hong. 443-447 [doi]
• Knowledge Discovery across Documents through Concept Chain QueriesWei Jin, Rohini K. Srihari. 448-452 [doi]
• Extracting Informative Rules from High Dimensional Data Using a Numerical ApproachNicolas Carrez, Jean-Charles Lamirel, Shadi Al Shehabi. 453-457 [doi]
• Cascaded Data Mining Methods for Text Understanding, with medical case studyRoni Romano, Lior Rokach, Oded Maimon. 458-462 [doi]
• A simple genetic algorithm for tracing the deformed midline on a single slice of brain CT using quadratic Bézier curvesChun-Chih Liao, Furen Xiao, Jau-Min Wong, I-Jen Chiang. 463-467 [doi]
• Towards Enterprise Archeology: Extracting Business Processes from Runtime Event DataAsuman Suenbuel, Ming-Shien Shan. 468-473 [doi]
• Mining the Future: Predicting Itemsets Support of Association Rules MiningShenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Makky, Alaaeldin M. Hafez. 474-478 [doi]
• Input Validation for Semi-supervised ClusteringKevin Y. Yip, Michael K. Ng, David W. Cheung. 479-483 [doi]
• Modeling Dynamic Substate Chains among Massive States for PredictionViet Phuong Nguyen, Takashi Washio. 484-489 [doi]
• Keyword Generation for Search Engine AdvertisingAmruta Joshi, Rajeev Motwani. 490-496 [doi]
• Privacy-Preserving Data Linkage and Geocoding: Current Approaches and Research DirectionsPeter Christen. 497-501 [doi]
• A Max-Min Approach for Hiding Frequent ItemsetsGeorge V. Moustakides, Vassilios S. Verykios. 502-506 [doi]
• The Applicability of the Perturbation Model-based Privacy Preserving Data Mining for Real-world DataLi Liu, Bhavani M. Thuraisingham. 507-512 [doi]
• NNMF-Based Factorization Techniques for High-Accuracy Privacy Protection on Non-negative-valued DatasetsJie Wang, Weijun Zhong, Jun Zhang. 513-517 [doi]
• Optimal k-Anonymity with Flexible Generalization Schemes through Bottom-up SearchingTiancheng Li, Ninghui Li. 518-523 [doi]
• Transforming Semi-Honest Protocols to Ensure AccountabilityWei Jiang, Chris Clifton. 524-529 [doi]
• Preserving Private Knowledge in Frequent Pattern MiningZhihui Wang, Wei Wang, Baile Shi, S. H. Boey. 530-534 [doi]
• Privacy-Preserving Data ImputationGeetha Jagannathan, Rebecca N. Wright. 535-540 [doi]
• Privacy Preserving Nearest Neighbor SearchMark Shaneck, Yongdae Kim, Vipin Kumar. 541-545 [doi]
• A Crypto-Based Approach to Privacy-Preserving Collaborative Data MiningJustin Z. Zhan, Stan Matwin. 546-550 [doi]
• An Approach to Outsourcing Data Mining Tasks while Protecting Business Intelligence and Customer PrivacyLing Qiu, Yingjiu Li, Xintao Wu. 551-558 [doi]
• Designing New Product Scenarios for Patent by Human-Interactive Annealing with PictogramKenichi Horie, Yoshiharu Maeno, Yukio Ohsawa. 559-564 [doi]
• Estimation System of People s Freindship and Hierarchical Relationship from Sentence TypesYoko Nishihara, Wataru Sunayama, Masahiko Yachida. 565-569 [doi]
• Pattern Mining in POS Data using a Historical TreeTakanobu Nakahara, Hiroyuki Morita. 570-574 [doi]
• The River-Rafting System for Knowledge Discovery Related to Persuasion Process Conversation LogsWataru Sunayama, Katsutoshi Yada. 575-579 [doi]
• Exploring Business Opportunities from Mobile Service Data of Customers Using Inter-cluster AnalysisIndranil Bose, Chen Xi. 580-584 [doi]
• Mining Chinese ReviewsBin Shi, Kuiyu Chang. 585-589 [doi]
• A Method to Search ARX Model Orders and Its Application to Sales Dynamics AnalysisKenta Fukata, Takashi Washio, Hiroshi Motoda. 590-595 [doi]
• Market Research Design on Modeling Propensity to Purchase and Market Potential: Using GIS and Data Mining as the ToolsLihua Zhao, Jennifer Harris. 596-600 [doi]
• Association Bundle - A New Pattern for Association AnalysisWenxue Huang, Milorad Krneta, Limin Lin, Jianhong Wu. 601-605 [doi]
• Cluster Evolution and Interpretation via PenaltiesDaniel Fleder, Balaji Padmanabhan. 606-614 [doi]
• Fuzzy Related Classification Approach Based on Semantic Measurement for Web DocumentHui Zhang, Han-Tao Song. 615-619 [doi]
• Communal Detection of Implicit Personal Identity StreamsClifton Phua, Ross Gayler, Kate Smith-Miles, Vincent Lee. 620-625 [doi]
• Online change detection: Monitoring land cover from remotely sensed dataYi Fang, Auroop R. Ganguly, Nagendra Singh, Veeraraghavan Vijayaraj, Neal Feierabend, David T. Potere. 626-631 [doi]
• Modeling Evaluation Of Continuous Queries on SlidingWindowsAnita Dani, Janusz R. Getta. 632-637 [doi]
• Unsupervised Clustering In Streaming DataDimitris K. Tasoulis, Niall M. Adams, David J. Hand. 638-642 [doi]
• Evolving Extended Naive Bayes ClassifiersFrank Klawonn, Plamen P. Angelov. 643-647 [doi]
• Mining and Predicting Duplication over Peer-to-Peer Query StreamsShicong Meng, Yifeng Shao, Cong Shi, Dingyi Han, Yong Yu. 648-652 [doi]
• Clustering-training for Data Stream MiningShuang Wu, Chunyu Yang, Jie Zhou. 653-656 [doi]
• An Evaluation of Progressive Sampling for Imbalanced Data SetsWillie Ng, Manoranjan Dash. 657-661 [doi]
• Efficient Reservoir Sampling for Transactional Data StreamsManoranjan Dash, Willie Ng. 662-666 [doi]
• Dynamic Algorithm for Graph Clustering Using Minimum Cut TreeBarna Saha, Pabitra Mitra. 667-671 [doi]
• A New Algorithm for Maintaining Closed Frequent Itemsets in Data Streams by Incremental UpdatesHua-Fu Li, Chin-Chuan Ho, Fang-Fei Kuo, Suh-Yin Lee. 672-676 [doi]
• Incremental Mining of Sequential Patterns over a Stream Sliding WindowChin-Chuan Ho, Hua-Fu Li, Fang-Fei Kuo, Suh-Yin Lee. 677-681 [doi]
• HClustream: A Novel Approach for Clustering Evolving Heterogeneous Data StreamChunyu Yang, Jie Zhou. 682-688 [doi]
• Chance Discovery in Credit Risk ManagementShinichi Goda, Yukio Ohsawa. 689-693 [doi]
• Unusual Condition Mining for Risk Management of Hydroelectric Power PlantsTakashi Onoda, Norihiko Ito, Hironobu Yamasaki. 694-698 [doi]
• Risk Mining in Hospital Information SystemsShusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama. 699-704 [doi]
• Cooperation Between Abductive and Inductive Nursing Risk ManagementAkinori Abe, Hiromi Itoh Ozaku, Noriaki Kuwahara, Kiyoshi Kogure. 705-708 [doi]
• A mining method of communities keeping tacit knowledgeRyutaro Ichise, Hideaki Takeda, Satoshi Kouno, Taichi Muraki. 709-713 [doi]
• Human-interactive annealing for turning threat to opportunity in technology developmentYoshiharu Maeno, Kiichi Ito, Kenichi Horie, Yukio Ohsawa. 714-717 [doi]
• Asset Valuation Technique for Network Management and SecurityLuc Beaudoin, P. Eng. 718-721 [doi]
• A Neural Networks Approach for Software Risk AnalysisYong Hu, Juhua Chen, Zhenbang Rong, Mei Liu, Kang Xie. 722-725 [doi]
• Classification and Clustering: A Perspective toward Risk MiningSadaaki Miyamoto. 726-730 [doi]
• Hierarchical Agglomerative Clustering Based T-outlier DetectionDajun Wang, Paul J. Fortier, Howard E. Michel, Theophano Mitsa. 731-738 [doi]
• Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable ClassificationEvgueni N. Smirnov, A. Kaptein. 739-743 [doi]
• Generalizing Version Space Support Vector Machines for Non-Separable DataEvgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev. 744-748 [doi]
• Mining the Most Reliable Association Rules with Composite ItemsKe Wang, James N. K. Liu, Weimin Ma. 749-754 [doi]
• Enhancing Reliability throughout Knowledge Discovery ProcessYi Feng, Zhaohui Wu. 754-758 [doi]
• Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness MeasuresMiho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi. 759-764 [doi]
• Ontology-based Association Rules Retrieval using Protege ToolsBin Shen, Min Yao, Zhaohui Wu, Yangu Zhang, Wensheng Yi. 765-769 [doi]
• Reducing performance Bias for Unbalanced Text MiningLing Zhuang, Honghua Dai. 770-774 [doi]
• A Study on Reliability in Graph DiscoveryHonghua Dai. 775-779 [doi]
• On Statistical Measures for Selecting Pertinent Formal Concepts to Discover Production Rules from DataMondher Maddouri, Fatma Kaabi. 780-784 [doi]
• Challenges and Interesting Research Directions in Associative ClassificationFadi A. Thabtah. 785-792 [doi]
• An Improved Genetic k-means Algorithm for Optimal ClusteringHaixiang Guo, Kejun Zhu, Si-wei Gao, Ting Liu. 793-797 [doi]
• A Mixed Process Neural Network and its Application to Churn Prediction in Mobile CommunicationsGuojie Song, Dongqing Yang, Ling Wu, Tengjiao Wang, Shiwei Tang. 798-802 [doi]
• Network Intrusion Detection by Multi-group Mathematical Programming based ClassifierGang Kou, Yi Peng, Yong Shi, Zhengxin Chen. 803-807 [doi]
• Data Envelopment Analysis Assessment MachineQuanling Wei, Hong Yan. 808-812 [doi]
• Unsupervised and Semi-Supervised Two-class Support Vector MachinesKun Zhao, Yingjie Tian, Naiyang Deng. 813-817 [doi]
• Bounded Support Vector Machines, SemidefiniteJianping Li, Zhenyu Chen, Weixuan Xu. 818-822 [doi]
• Credit Risk Assessment with Least Squares Fuzzy Support Vector MachinesLean Yu, Kin Keung Lai, Shouyang Wang. 823-827 [doi]
• A Data Mining Approach to Classify Credit Cardholders BehaviorAihua Li, Yong Shi, Meihong Zhu, Jingran Dai. 828-832 [doi]
• A Knowledge Management Platform for Optimization-based Data MiningXingsen Li, Yong Shi, Ying Liu, Jun Li, Aihua Li. 833-837 [doi]
• A Hybrid Strategy for Clustering Data Mining DocumentsYi Peng, Gang Kou, Yong Shi, Zhengxin Chen. 838-842 [doi]
• The Analysis on the Customers Churn of Charge Email Based on Data Mining Take One Internet Company for ExampleGuangli Nie, Lingling Zhang, Xingsen Li, Yong Shi. 843-847 [doi]
• An Effective Hypergraph Clustering in Multi-Stage Data Mining of Traditional Chinese Medicine Syndrome DifferentiationWang Bo, Zhang Ming-Wei, Zhang Bin, Wei Wei-Jie. 848-852 [doi]
• A Better Classifier Based on Rough Set and Neural Network for Medical ImagesJiang Yun, Zhanhuai Li, Wang Yong, Longbo Zhang. 853-857 [doi]
• Influencing Factors in Achieving Active AgeingRichi Nayak, Laurie Buys, Jan Lovie-Kitchin. 858-862 [doi]
• Optimization Approaches for Semi-Supervised Multiclass ClassificationYasutoshi Yajima, Tien-Fang Kuo. 863-867 [doi]
• A RBF classifier with supervised center selection and weighted normRong Liu, Yong Shi. 868-872 [doi]
• Improved Logistic Regression Approach to Predict the Potential Distribution of Invasive Species Using Information Theory and Frequency StatisticsHao Chen 0005, Lijun Chen, Thomas P. Albright, Qinfeng Guo. 873-877 [doi]
• A Probabilistic Ensemble Pruning AlgorithmHuanhuan Chen, Peter Tiño, Xin Yao. 878-882 [doi]