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ORCID2nd ADMA 2006: Xi'an, China
- Xue Li, Osmar R. Zaïane, Zhanhuai Li:
Advanced Data Mining and Applications, Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings. Lecture Notes in Computer Science 4093, Springer 2006, ISBN 3-540-37025-0
Invited Papers
- Jiawei Han, Hector Gonzalez, Xiaolei Li, Diego Klabjan:
Warehousing and Mining Massive RFID Data Sets. 1-18 - Ah Chung Tsoi
, Markus Hagenbuchner, Alessandro Sperduti:
Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents. 19-30 - Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin:
Finding Time Series Discords Based on Haar Transform. 31-41 - João Gama, Gladys Castillo:
Learning with Local Drift Detection. 42-55
Association Rules
- Xin Li, Zhi-Hong Deng, Shiwei Tang:
A Fast Algorithm for Maintenance of Association Rules in Incremental Databases. 56-63 - Mehmet Kaya, Reda Alhajj:
Extending OLAP with Fuzziness for Effective Mining of Fuzzy Multidimensional Weighted Association Rules. 64-71 - Zhuohua Duan, Zixing Cai, Yan Lv:
Incremental Maintenance of Association Rules Based on Multiple Previously Mined Results. 72-79 - Olfa Nasraoui, Suchandra Goswami:
Mining and Validation of Localized Frequent Web Access Patterns with Dynamic Tolerance. 80-91 - Jinlong Wang, Congfu Xu, Hongwei Dan, Yunhe Pan:
SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases. 92-99 - Xiangjun Dong, Fengrong Sun, Xiqing Han, Ruilian Hou:
Study of Positive and Negative Association Rules Based on Multi-confidence and Chi-Squared Test. 100-109 - Zhongmei Zhou, Zhaohui Wu, Chunshan Wang, Yi Feng:
Efficiently Mining Maximal Frequent Mutually Associated Patterns. 110-117 - Zhongmei Zhou, Zhaohui Wu, Chunshan Wang, Yi Feng:
Efficiently Mining Mutually and Positively Correlated Patterns. 118-125
Classification
- Shuqin Wang, Jinmao Wei, Junping You, Dayou Liu:
ComEnVprs: A Novel Approach for Inducing Decision Tree Classifiers. 126-134 - Rob Law, Thomas Bauer, Karin Weber, Tony Tse:
Towards a Rough Classification of Business Travelers. 135-142 - Dingfei Ge, Xiao Qu:
Feature Extraction Based on Optimal Discrimination Plane in ECG Signal Classification. 143-149 - Yatong Zhou, Taiyi Zhang, Jiancheng Sun:
Music Style Classification with a Novel Bayesian Model. 150-156 - Wen Yang, Hao Wang, Yongfeng Cao, Haijian Zhang:
Classification of Polarimetric SAR Data Based on Multidimensional Watershed Clustering. 157-164 - Daniel Neagu, Gongde Guo, Shanshan Wang:
An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining. 165-172 - Yonghong Tian, Tiejun Huang, Wen Gao:
Robust Collective Classification with Contextual Dependency Network Models. 173-180 - Hongli Xu, De Xu, Fangshi Wang:
User-Centered Image Semantics Classification. 181-188 - Miyoung Shin:
A Performance Study of Gaussian Kernel Classifiers for Data Mining Applications. 189-196 - Qun Song, Tianmin Ma, Nikola K. Kasabov:
TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine. 197-204 - Wei Wu, Jianzhong Zhou, Li Mo, Chengjun Zhu:
Forecasting Electricity Market Price Spikes Based on Bayesian Expert with Support Vector Machines. 205-212 - Yiqing Tu, Gang Li, Honghua Dai:
Integrating Local One-Class Classifiers for Image Retrieval. 213-222 - Jingli Lu, Ying Yang, Geoffrey I. Webb:
Incremental Discretization for Naïve-Bayes Classifier. 223-238 - Lei Duan, Changjie Tang, Tianqing Zhang, Dagang Wei, Huan Zhang:
Distance Guided Classification with Gene Expression Programming. 239-246 - Hong Li, Rui Zhao, Jianer Chen, Yao Xiang:
Research on Multi-valued and Multi-labeled Decision Trees. 247-254
Clustering
- Zhong Qu, Lian Wang:
A Spatial Clustering Algorithm Based on SOFM. 255-262 - Min Wang, Aiping Wang, Anbo Li:
Mining Spatial-temporal Clusters from Geo-databases. 263-270 - Guojun Gan, Jianhong Wu, Zijiang Yang:
A Fuzzy Subspace Algorithm for Clustering High Dimensional Data. 271-278 - Won-Jung Yoon, Sang-Hun Oh, Kyu-Sik Park:
Robust Music Information Retrieval on Mobile Network Based on Multi-Feature Clustering. 279-283 - Tianming Hu, Liping Liu, Chao Qu, Sam Yuan Sung:
Joint Cluster Based Co-clustering for Clustering Ensembles. 284-295 - Guandong Xu, Yanchun Zhang, Rezaul K. Begg:
Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques. 296-307 - Huilan Luo, Fansheng Kong, Yixiao Li:
Combining Multiple Clusterings Via k-Modes Algorithm. 308-315 - Ke-Bing Zhang, Mehmet A. Orgun, Kang Zhang:
HOV3: An Approach to Visual Cluster Analysis. 316-327 - William-Chandra Tjhi, Lihui Chen:
A New Fuzzy Co-clustering Algorithm for Categorization of Datasets with Overlapping Clusters. 328-339 - Jun Sun, Wenbo Xu, Bin Ye:
Quantum-Behaved Particle Swarm Optimization Clustering Algorithm. 340-347 - Huilan Luo, Fansheng Kong, Yixiao Li:
Clustering Mixed Data Based on Evidence Accumulation. 348-355 - Yuhai Zhao, Guoren Wang, Ying Yin, Guangyu Xu:
Mining Maximal Local Conserved Gene Clusters from Microarray Data. 356-363
Novel Algorithms
- Huaxiang Zhang, Peide Liu:
A Novel P2P Information Clustering and Retrieval Mechanism. 364-371 - Sung Ho Ha, Sung Min Bae:
Keeping Track of Customer Life Cycle to Build Customer Relationship. 372-379 - Hesuan Hu, ZhiWu Li, Anrong Wang:
Mining of Flexible Manufacturing System Using Work Event Logs and Petri Nets. 380-387 - Yanping Lv, Shaozi Li, Changle Zhou, Wenzhong Guo, Zhengming Xu:
Improved Genetic Algorithm for Multiple Sequence Alignment Using Segment Profiles (GASP). 388-395 - Shuzhong Yang, Siwei Luo, Jianyu Li:
A Novel Visual Clustering Algorithm for Finding Community in Complex Network. 396-403 - Bo Yang:
Self-Organizing Network Evolving Model for Mining Network Community Structure. 404-415 - David Da Costa, Gilles Venturini:
An Interactive Visualization Environment for Data Exploration Using Points of Interest. 416-423 - Tae Hyup Roh:
Forecasting the Volatility of Stock Price Index. 424-435 - Quang Tran Minh, Shigeru Oyanagi, Katsuhiro Yamazaki:
ExMiner: An Efficient Algorithm for Mining Top-K Frequent Patterns. 436-447 - Shuang-Cheng Wang, Xiao-Lin Li, Hai-Yan Tang:
Learning Bayesian Networks Structure with Continuous Variables. 448-456 - Peng Liu, Naijun Wu, Jiaxian Zhu, Junjie Yin, Wei Zhang:
A Unified Strategy of Feature Selection. 457-464 - Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant G. Honavar:
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm. 465-472 - Zhi He, Shengfeng Tian, Houkuan Huang:
OMVD: An Optimization of MVD. 473-484 - Maojin Jiang, Shlomo Argamon, Abdur Chowdhury, Kush Sidhu:
ZED: Explaining Temporal Variations in Query Volume. 485-492 - Ming Leng, Songnian Yu:
An Effective Multi-level Algorithm for Bisecting Graph. 493-500 - Sanghack Lee, Jihoon Yang, Sungyong Park:
A New Polynomial Time Algorithm for Bayesian Network Structure Learning. 501-508 - Ming-Hua Yang, Zhi-Min Gu:
Personalized Recommendation Based on Partial Similarity of Interests. 509-516 - Jan Peter Patist:
A Fast Implementation of the EM Algorithm for Mixture of Multinomials. 517-524 - Xiaoli Li, Yong He:
A Novel Approach to Pattern Recognition Based on PCA-ANN in Spectroscopy. 525-532 - Yao Chen, Yuntao Qian:
Semi-supervised Dynamic Counter Propagation Network. 533-541 - Guanghui Yan, Zhanhuai Li, Liu Yuan:
The Practical Method of Fractal Dimensionality Reduction Based on Z-Ordering Technique. 542-549 - Peter Schenkel, Wanqing Li, Wanquan Liu:
Feature Selection for Complex Patterns. 550-557 - Zhipeng Xie:
Naïve Bayesian Tree Pruning by Local Accuracy Estimation. 558-565 - Jong Hwan Suh, Sang Park:
A New Visualization Method for Patent Map: Application to Ubiquitous Computing Technology. 566-573 - Jangsun Baek, Young Sook Son:
Local Linear Logistic Discriminant Analysis with Partial Least Square Components. 574-581 - Longbing Cao:
Activity Mining: Challenges and Prospects. 582-593 - Gang Li, Dong Liu, Yiqing Tu, Yangdong Ye:
Finding the Optimal Cardinality Value for Information Bottleneck Method. 594-605 - Li Wan, Bin Wu, Nan Du, Qi Ye, Ping Chen:
A New Algorithm for Enumerating All Maximal Cliques in Complex Network. 606-617 - Ding Pan:
Modeling and Mining the Rule Evolution. 618-625 - Qihe Liu, Leiting Chen, Jianzhong Zhang, Fan Min:
Knowledge Reduction in Inconsistent Decision Tables. 626-635
Text Mining
- Chong Huang, Yonghong Tian, Tiejun Huang, Wen Gao:
Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining. 636-643 - Yan Zheng, Xiaochun Cheng, Ronghuai Huang, Yi Man:
A Comparative Study on Text Clustering Methods. 644-651 - Ping Gu, Qingsheng Zhu, Xiping He:
Concept Based Text Classification Using Labeled and Unlabeled Data. 652-660 - Marco Degemmis, Pasquale Lops, Giovanni Semeraro:
Learning Semantic User Profiles from Text. 661-672
Multimedia Mining
- Yaqin Zhao, Xianzhong Zhou, Guizhong Tang:
Audiovisual Integration for Racquet Sports Video Retrieval. 673-680 - David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor:
A Correlation Approach for Automatic Image Annotation. 681-692
Sequential Data Mining and Time Series Mining
- Ming-Yen Lin, Sue-Chen Hsueh, Chia-Wen Chang:
Fast Discovery of Time-Constrained Sequential Patterns Using Time-Indexes. 693-701 - Yang Jin, Wanli Zuo:
Multi-dimensional Sequential Pattern Mining Based on Concept Lattice. 702-710 - Linjun Yin, Guoren Wang, Keming Mao, Yuhai Zhao:
Mining Time-Delayed Coherent Patterns in Time Series Gene Expression Data. 711-722 - Haijie Gu, Gang Rong:
Mining Delay in Streaming Time Series of Industrial Process. 723-730 - Guangjie Ling, Yuntao Qian, Sen Jia:
Segmental Semi-Markov Model Based Online Series Pattern Detection Under Arbitrary Time Scaling. 731-740 - Dan Sun, Jun Meng, Zongyuan He:
Diagnosis of Inverter Faults in PMSM DTC Drive Using Time-Series Data Mining Technique. 741-748 - Jun Meng, Dan Sun, Zhiyong Li:
Applications of Data Mining Time Series to Power Systems Disturbance Analysis. 749-760 - Lei Chang, Dongqing Yang, Shiwei Tang, Tengjiao Wang:
Mining Compressed Sequential Patterns. 761-768 - Junhua Zhao, Zhao Yang Dong, Zhao Xu:
Effective Feature Preprocessing for Time Series Forecasting. 769-781 - Jianrong Hou, Hui Zhao, Pei Huang:
On Similarity of Financial Data Series Based on Fractal Dimension. 782-789
Web Mining
- Jie Han, Yong Yu, Chenxi Lin, Dingyi Han, Gui-Rong Xue:
A Hierarchical Model of Web Graph. 790-797 - Rui Li, Shenghua Bao, Jin Wang, Yuanjie Liu, Yong Yu:
Web Scale Competitor Discovery Using Mutual Information. 798-808
Biomedical Mining
- Yutao Ma, Yonghong Peng:
Co-expression Gene Discovery from Microarray for Integrative Systems Biology. 809-818 - Heon Gyu Lee, Kiyong Noh, Bum Ju Lee, Ho-Sun Shon, Keun Ho Ryu:
Cardiovascular Disease Diagnosis Method by Emerging Patterns. 819-826 - Phasit Charoenkwan, Aompilai Manorat, Jeerayut Chaijaruwanich, Sukon Prasitwattanaseree, Sakarindr Bhumiratana:
DNA Microarray Data Clustering by Hidden Markov Models and Bayesian Information Criterion. 827-834 - Jeerayut Chaijaruwanich, Jamlong Khamphachua, Sukon Prasitwattanaseree, Saradee Warit, Prasit Palittapongarnpim:
Application of Factor Analysis on Mycobacterium Tuberculosis Transcriptional Responses for Drug Clustering, Drug Target, and Pathway Detections. 835-844 - Cong Phuong Nguyen, Thi Ngoc Yen Pham, Eric Castelli:
First Steps to an Audio Ontology-Based Classifier for Telemedicine. 845-855 - Ashkan Sami:
Obstacles and Misunderstandings Facing Medical Data Mining. 856-863 - Shulin Wang, Ji Wang, Huowang Chen, Boyun Zhang:
SVM-Based Tumor Classification with Gene Expression Data. 864-870 - Wagner Rodrigo Weinert, Heitor S. Lopes:
GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming. 871-880
Advanced Applications
- Shuguang Zhao, Mingying Zhao, Jin Li, Change Wang:
CBR-Based Knowledge Discovery on Results of Evolutionary Design of Logic Circuits. 881-888 - Rayner Alfred, Dimitar Kazakov:
Data Summarization Approach to Relational Domain Learning Based on Frequent Pattern to Support the Development of Decision Making. 889-898 - Marlon Núñez, Rafael Morales Bueno:
Extreme Value Dependence in Problems with a Changing Causation Structure. 899-910 - Jong-Min Kim, Hwan-Seok Yang:
A Study on Object Recognition Technology Using PCA in the Variable Illumination. 911-918 - Yanbing Liu, Menghao Wang:
Pattern Recurring in Three-Dimensional Graph Based on Data Mining. 919-926 - Zhenhua Huang, Wei Wang:
Mining the Useful Skyline Set Based on the Acceptable Difference. 927-933 - Jinkang Jia, Changjia Chen:
Modeling Information-Sharing Behaviors in BitTorrent System Based on Real Measurement. 934-946 - Jie Sun, Xiao-Feng Hui:
Financial Distress Prediction Based on Similarity Weighted Voting CBR. 947-958 - Jae Sik Lee, Jin Chun Lee:
Customer Churn Prediction by Hybrid Model. 959-966 - Qing Li, Licheng Jiao:
Base Vector Selection for Kernel Matching Pursuit. 967-976 - R. Pradeep Kumar, P. Nagabhushan:
WaveSim Transform for Multi-channel Signal Data Mining Through Linear Regression PCA . 977-984 - Yue Zhao, Ciwen Xu, Yongcun Cao:
Research on Query-by-Committee Method of Active Learning and Application. 985-991 - Yantao Pan, Wei Peng, Xicheng Lu:
Traffic Management Genetic Algorithm Supporting Data Mining and QoS in Sensor Networks. 992-999 - Haiyan Cen, Yidan Bao, Min Huang, Yong He:
Comparison of Data Pre-processing in Pattern Recognition of Milk Powder Vis/NIR Spectra. 1000-1007 - Tingting He, Guozhong Qu, Siwei Li, Xinhui Tu, Yong Zhang, Han Ren:
Semi-automatic Hot Event Detection. 1008-1016
Security and Privacy Issues
- Hua Li, Glena Greene, Rafael Alonso:
Profile-Based Security Against Malicious Mobile Agents. 1017-1024 - Usman Tariq, Manpyo Hong, Kyung-suk Lhee:
A Comprehensive Categorization of DDoS Attack and DDoS Defense Techniques. 1025-1036 - (Withdrawn) Structural Analysis and Mathematical Methods for Destabilizing Terrorist Networks Using Investigative Data Mining. 1037-1048
- Moon Sun Shin, Kyeong Ja Jeong:
Alert Correlation Analysis in Intrusion Detection. 1049-1056
Spatial Data Mining
- Ashkan Sami, Ryoichi Nagatomi, Makoto Takahashi, Takeshi Tokuyama:
OSDM: Optimized Shape Distribution Method. 1057-1064 - Shuliang Wang, Hanning Yuan:
View-Angle of Spatial Data Mining. 1065-1076
Streaming Data Mining
- Tzu-Chiang Wu, Arbee L. P. Chen:
Maintaining Moving Sums over Data Streams. 1077-1084 - Zhi-jun Xie, Hong Chen, Cuiping Li:
MFIS-Mining Frequent Itemsets on Data Streams. 1085-1093 - Yong Wang, Zhanhuai Li, Yang Zhang, Longbo Zhang, Yun Jiang:
Improving the Performance of Data Stream Classifiers by Mining Recurring Contexts. 1094-1106
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