| 505 |
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|t Data Mining as an Automated Service /
|r P. S. Bradley --
|t Trends and Challenges in the Industrial Applications of KDD /
|r Ramasamy Uthurusamy --
|t Finding Event-Oriented Patterns in Long Temporal Sequences /
|r Xingzhi Sun, Maria E. Orlowska and Xiaofang Zhou --
|t Mining Frequent Episodes for Relating Financial Events and Stock Trends /
|r Anny Ng and Ada Wai-chee Fu --
|t An Efficient Algorithm of Frequent Connected Subgraph Extraction /
|r Minghsheng Hong, Haofeng Zhou, Wei Wang and Baile Shi --
|t Classifier Construction by Graph-Based Induction for Graph-Structured Data /
|r Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio --
|t Comparison of the Performance of Center-Based Clustering Algorithms /
|r Bin Zhang --
|t Automatic Extraction of Clusters from Hierarchical Clustering Representations /
|r Jorg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu and Alex Kovarsky --
|t Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information /
|r Seong-Bae Park and Byoung-Tak Zhang --
|t Extracting Shared Topics of Multiple Documents /
|r Xiang Ji and Hongyuan Zha --
|t An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition /
|r Yu-Seop Kim, Jeong-Ho Chang and Byoung-Tak Zhang --
|t A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data /
|r Tianhao Wu and William M. Pottenger --
|t Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules /
|r Annie Lau, Siew Siew Ong, Ashesh Mahidadia, Achim Hoffmann, Johanna Westbrook and Tatjana Zrimec --
|t Predicting Protein Structural Class from Closed Protein Sequences /
|r N. Rattanakronkul, T. Wattarujeekrit and K. Waiyamai --
|t Learning Rules to Extract Protein Interactions from Biomedical Text /
|r Tu Minh Phuong, Doheon Lee and Kwang Hyung Lee --
|t Predicting Protein Interactions in Human by Homologous Interactions in Yeast /
|r Hyongguen Kim, Jong Park and Kyungsook Han --
|t Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation /
|r Yi-Dong Shen, Qiang Yang, Zhong Zhang and Hongjun Lu --
|t A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules /
|r Edmond H. Wu and Michael K. Ng --
|t A Markovian Approach for Web User Profiling and Clustering /
|r Younes Hafri, Chabane Djeraba, Peter Stanchev and Bruno Bachimont --
|t Extracting User Interests from Bookmarks on the Web /
|r Jason J. Jung and Geun-Sik Jo --
|t Mining Frequent Instances on Workflows /
|r Gianluigi Greco, Antonella Guzzo, Giuseppe Manco and Domenico Sacca --
|t Real Time Video Data Mining for Surveillance Video Streams /
|r JungHwan Oh, JeongKyu Lee and Sanjaykumar Kote --
|t Distinguishing Causal and Acausal Temporal Relations /
|r Kamran Karimi and Howard J. Hamilton --
|t Online Bayes Point Machines /
|r Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John Platt and Robert C. Williamson --
|t Exploiting Hierarchical Domain Values for Bayesian Learning /
|r Yiqiu Han and Wai Lam --
|t A New Restricted Bayesian Network Classifier /
|r Hongbo Shi, Zhihai Wang, Geoff Webb and Houkuan Huang --
|t AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets /
|r Zhao Yanchang and Song Junde --
|t Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus /
|r Ickjai Lee and Mary-Anne Williams --
|t An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data /
|r Jae-Woo Chang --
|t Enhancing SWF for Incremental Association Mining by Itemset Maintenance /
|r Chia-Hui Chang and Shi-Hsan Yang --
|t Reducing Rule Covers with Deterministic Error Bounds /
|r Vikram Pudi and Jayant R. Haritsa --
|t Evolutionary Approach for Mining Association Rules on Dynamic Databases /
|r P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal and L. M. Patnaik --
|t Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining /
|r Yi Lu and C. I. Ezeife --
|t An Integrated System of Mining HTML Texts and Filtering Structured Documents /
|r Bo-Hyun Yun, Myung-Eun Lim and Soo-Hyun Park --
|t A New Sequential Mining Approach to XML Document Similarity Computation /
|r Ho-pong Leung, Fu-lai Chung and Stephen Chi-fai Chan --
|t Optimization of Fuzzy Rules for Classification Using Genetic Algorithm /
|r Myung Won Kim, Joung Woo Ryu, Samkeun Kim and Joong Geun Lee --
|t Fast Pattern Selection for Support Vector Classifiers /
|r Hyunjung Shin and Sungzoon Cho --
|t Averaged Boosting: A Noise-Robust Ensemble Method /
|r Yongdai Kim --
|t Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule /
|r Chen-zhou Ye, Jie Yang, Li-xiu Yao and Nian-yi Chen --
|t HOT: Hypergraph-Based Outlier Test for Categorical Data /
|r Li Wei, Weining Qian, Aoying Zhou, Wen Jin and Jeffrey X. Yu --
|t A Method for Aggregating Partitions. Applications in K.D.D. /
|r Pierre-Emmanuel Jouve and Nicolas Nicoloyannis --
|t Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding /
|r Pauline L. H. Chou and Xiuzhen Zhang --
|t Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data /
|r Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Sachio Hirokawa, Kenichi Takahashi and Hiroaki Ueda --
|t Step-By-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube /
|r Chao Liu, Ming Zhang, Minrui Zheng and Yixin Chen --
|t Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining /
|r Chang-Hung Lee, Jian Chih Ou and Ming-Syan Chen --
|t Mining Open Source Software (OSS) Data Using Association Rules Network /
|r Sanjay Chawla, Bavani Arunasalam and Joseph Davis --
|t Parallel FP-Growth on PC Cluster /
|r Iko Pramudiono and Masaru Kitsuregawa --
|t Active Feature Selection Using Classes /
|r Huan Liu, Lei Yu, Manoranjan Dash and Hiroshi Motoda --
|t Electricity Based External Similarity of Categorical Attributes /
|r Christopher R. Palmer and Christos Faloutsos --
|t Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers /
|r Ying Yang and Geoffrey I. Webb --
|t Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach /
|r Shoji Hirano and Shusaku Tsumoto --
|t Considering Correlation between Variables to Improve Spatiotemporal Forecasting /
|r Zhigang Li, Liangang Liu and Margaret H. Dunham --
|t Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach /
|r Pusheng Zhang, Yan Huang, Shashi Shekhar and Vipin Kumar --
|t When to Update the Sequential Patterns of Stream Data? /
|r Qingguo Zheng, Ke Xu and Shilong Ma --
|t A New Clustering Algorithm for Transaction Data via Caucus /
|r Jinmei Xu, Hui Xiong, Sam Yuan Sung and Vipin Kumar --
|t DBRS: A Density-Based Spatial Clustering Method with Random Sampling /
|r Xin Wang and Howard J. Hamilton --
|t Optimized Clustering for Anomaly Intrusion Detection /
|r Sang Hyun Oh and Won Suk Lee --
|t Finding Frequent Subgraphs from Graph Structured Data with Geometric Information and Its Application to Lossless Compression /
|r Yuko Itokawa, Tomoyuki Uchida, Takayoshi Shoudai, Tetsuhiro Miyahara and Yasuaki Nakamura --
|t Upgrading ILP Rules to First-Order Bayesian Networks /
|r Ratthachat Chatpatanasiri and Boonserm Kijsirikul --
|t A Clustering Validity Assessment Index /
|r Youngok Kim and Soowon Lee.
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