Advances in knowledge discovery and data mining. 7th Pacific-Asia conference, PAKDD 2003, Seoul, Korea, April 30 -- May 2, 2003. Proceedings (Q1406606)

The articles of this volume will be reviewed individually. The preceding conference has been reviewed (see Zbl 0992.68521). Indexed articles: \textit{Bradley, P. S.}, Data mining as an automated service, 1-13 [Zbl 1032.68587] \textit{Uthurusamy, Ramasamy}, Trends and challenges in the industrial applications of KDD, 14 [Zbl 1032.68635] \textit{Sun, Xingzhi; Orlowska, Maria E.; Zhou, Xiaofang}, Finding event-oriented patterns in long temporal sequences, 15-26 [Zbl 1032.68634] \textit{Ng, Anny; Fu, Ada Wai-chee}, Mining frequent episodes for relating financial events and stock trends, 27-39 [Zbl 1032.68620] \textit{Hong, Mingsheng; Zhou, Haofeng; Wang, Wei; Shi, Baile}, An efficient algorithm of frequent connected subgraph extraction, 40-51 [Zbl 1032.68600] \textit{Geamsakul, Warodom; Matsuda, Takashi; Yoshida, Tetsuya; Motoda, Hiroshi; Washio, Takashi}, Classifier construction by graph-based induction for graph-structured data, 52-62 [Zbl 1032.68593] \textit{Zhang, Bin}, Comparison of the performance of center-based clustering algorithms, 63-74 [Zbl 1032.68644] \textit{Sander, Jörg; Qin, Xuejie; Lu, Zhiyong; Niu, Nan; Kovarsky, Alex}, Automatic extraction of clusters from hierarchical clustering representations, 75-87 [Zbl 1032.68629] \textit{Park, Seong-Bae; Zhang, Byoung-Tak}, Large scale unstructured document classification using unlabeled data and syntactic information, 88-99 [Zbl 1032.68624] \textit{Ji, Xiang; Zha, Hongyuan}, Extracting shared topics of multiple documents, 100-110 [Zbl 1032.68602] \textit{Kim, Yu-Seop; Chang, Jeong-Ho; Zhang, Byoung-Tak}, An empirical study on dimensionality optimization in text mining for linguistic knowledge acquisition, 111-116 [Zbl 1032.68610] \textit{Wu, Tianhao; Pottenger, William M.}, A semi-supervised algorithm for pattern discovery in information extraction from textual data, 117-123 [Zbl 1032.68639] \textit{Lau, Annie; Ong, Siew Siew; Mahidadia, Ashesh; Hoffmann, Achim; Westbrook, Johanna; Zrimec, Tatjana}, Mining patterns of dyspepsia symptoms across time points using constraint association rules, 124-135 [Zbl 1032.68611] \textit{Rattanakronkul, N.; Wattarujeekrit, T.; Waiyamai, K.}, Predicting protein structural class from closed protein sequences, 136-147 [Zbl 1032.68628] \textit{Phuong, Tu Minh; Lee, Doheon; Lee, Kwang Hyung}, Learning rules to extract protein interactions from biomedical text, 148-158 [Zbl 1032.68625] \textit{Kim, Hyongguen; Park, Jong; Han, Kyungsook}, Predicting protein interactions in human by homologous interactions in yeast, 159-165 [Zbl 1032.68606] \textit{Shen, Yi-Dong; Yang, Qiang; Zhang, Zhong; Lu, Hongjun}, Mining the customer's up-to-moment preferences for e-commerce recommendation, 166-177 [Zbl 1032.68630] \textit{Wu, Edmond H.; Ng, Michael K.}, A graph-based optimization algorithm for website topology using interesting association rules, 178-190 [Zbl 1032.68638] \textit{Hafri, Younes; Djeraba, Chabane; Stanchev, Peter; Bachimont, Bruno}, A Markovian approach for web user profiling and clustering, 191-202 [Zbl 1032.68596] \textit{Jung, Jason J.; Jo, Geun-Sik}, Extracting user interests from bookmarks on the web, 203-208 [Zbl 1032.68604] \textit{Greco, Gianluigi; Guzzo, Antonella; Manco, Giuseppe; Saccà, Domenico}, Mining frequent instances on workflows, 209-221 [Zbl 1032.68595] \textit{Oh, JungHwan; Lee, JeongKyu; Kote, Sanjaykumar}, Real time video data mining for surveillance video streams, 222-233 [Zbl 1032.68621] \textit{Karimi, Kamran; Hamilton, Howard J.}, Distinguishing causal and acausal temporal relations, 234-240 [Zbl 1032.68605] \textit{Harrington, Edward; Herbrich, Ralf; Kivinen, Jyrki; Platt, John; Williamson, Robert C.}, Online Bayes point machines, 241-252 [Zbl 1032.68598] \textit{Han, Yiqiu; Lam, Wai}, Exploiting hierarchical domain values for Bayesian learning, 253-264 [Zbl 1032.68597] \textit{Shi, Hongbo; Wang, Zhihai; Webb, Geoff; Huang, Houkuan}, A new restricted Bayesian network classifier, 265-270 [Zbl 1032.68632] \textit{Zhao, Yanchang; Song, Junde}, AGRID: An efficient algorithm for clustering large high-dimensional datasets, 271-282 [Zbl 1032.68646] \textit{Lee, Ickjai; Williams, Mary-Anne}, Multi-level clustering and reasoning about its clusters using region connection calculus, 283-294 [Zbl 1032.68613] \textit{Chang, Jae-Woo}, An efficient cell-based clustering method for handling large, high-dimensional data, 295-300 [Zbl 1032.68589] \textit{Chang, Chia-Hui; Yang, Shi-Hsan}, Enhancing SWF for incremental association mining by itemset maintenance, 301-312 [Zbl 1032.68588] \textit{Pudi, Vikram; Haritsa, Jayant R.}, Reducing rule covers with deterministic error bounds, 313-324 [Zbl 1032.68627] \textit{Shenoy, P. Deepa; Srinivasa, K. G.; Venugopal, K. R.; Patnaik, L. M.}, Evolutionary approach for mining association rules on dynamic databases, 325-336 [Zbl 1032.68631] \textit{Lu, Yi; Ezeife, C. I.}, Position coded pre-order linked WAP-tree for web log sequential pattern mining, 337-349 [Zbl 1032.68618] \textit{Yun, Bo-Hyun; Lim, Myung-Eun; Park, Soo-Hyun}, An integrated system of mining HTML texts and filtering structured documents, 350-355 [Zbl 1032.68643] \textit{Leung, Ho-pong; Chung, Fu-lai; Chan, Stephen Chi-fai}, A new sequential mining approach to XML document similarity computation, 356-362 [Zbl 1032.68614] \textit{Kim, Myung Won; Ryu, Joung Woo; Kim, Samkeun; Lee, Joong Geun}, Optimization of fuzzy rules for classification using genetic algorithm, 363-375 [Zbl 1032.68607] \textit{Shin, Hyunjung; Cho, Sungzoon}, Fast pattern selection for support vector classifiers, 376-387 [Zbl 1032.68633] \textit{Kim, Yongdai}, Averaged boosting: A noise-robust ensemble method, 388-393 [Zbl 1032.68608] \textit{Ye, Chen-zhou; Yang, Jie; Yao, Li-xiu; Chen, Nian-yi}, Improving performance of decision tree algorithms with multi-edited nearest neighbor rule, 394-398 [Zbl 1032.68642] \textit{Wei, Li; Qian, Weining; Zhou, Aoying; Jin, Wen; Yu, Jeffrey X.}, HOT: Hypergraph-based outlier test for categorical data, 399-410 [Zbl 1032.68637] \textit{Jouve, Pierre-Emmanuel; Nicoloyannis, Nicolas}, A method for aggregating partitions, applications in K. D. D, 411-422 [Zbl 1032.68603] \textit{Chou, Pauline L. H.; Zhang, Xiuzhen}, Efficiently computing iceberg cubes with complex constraints through bounding, 423-429 [Zbl 1032.68592] \textit{Miyahara, Tetsuhiro; Suzuki, Yusuke; Shoudai, Takayoshi; Uchida, Tomoyuki; Hirokawa, Sachio; Takahashi, Kenichi; Ueda, Hiroaki}, Extraction of tag tree patterns with contractible variables from irregular semistructured data, 430-436 [Zbl 1032.68619] \textit{Liu, Chao; Zhang, Ming; Zheng, Minrui; Chen, Yixin}, Step-by-step regression: A more efficient alternative for polynomial multiple linear regression in stream cube, 437-448 [Zbl 1032.68616] \textit{Lee, Chang-Hung; Ou, Jian Chih; Chen, Ming-Syan}, Progressive weighted miner: An efficient method for time-constraint mining, 449-460 [Zbl 1032.68612] \textit{Chawla, Sanjay; Arunasalam, Bavani; Davis, Joseph}, Mining open source software (OSS) data using association rules network, 461-466 [Zbl 1032.68591] \textit{Pramudiono, Iko; Kitsuregawa, Masaru}, Parallel FP-growth on PC cluster, 467-473 [Zbl 1032.68626] \textit{Liu, Huan; Yu, Lei; Dash, Manoranjan; Motoda, Hiroshi}, Active feature selection using classes, 474-485 [Zbl 1032.68617] \textit{Palmer, Christopher R.; Faloutsos, Christos}, Electricity based external similarity of categorical attributes, 486-500 [Zbl 1032.68623] \textit{Yang, Ying; Webb, Geoffrey I.}, Weighted proportional k-interval discretization for naive-Bayes classifiers, 501-512 [Zbl 1032.68641] \textit{Hirano, Shoji; Tsumoto, Shusaku}, Dealing with relative similarity in clustering: An indiscernibility based approach, 513-518 [Zbl 1032.68599] \textit{Li, Zhigang; Liu, Liangang; Dunham, Margaret H.}, Considering correlation between variables to improve spatiotemporal forecasting, 519-531 [Zbl 1032.68615] \textit{Zhang, Pusheng; Huang, Yan; Shekhar, Shashi; Kumar, Vipin}, Correlation analysis of spatial time series datasets: A filter-and-refine approach, 532-544 [Zbl 1032.68645] \textit{Zheng, Qingguo; Xu, Ke; Ma, Shilong}, When to update the sequential patterns of stream data?, 545-550 [Zbl 1032.68647] \textit{Xu, Jinmei; Xiong, Hui; Sung, Sam Yuan; Kumar, Vipin}, A new clustering algorithm for transaction data via caucus, 551-562 [Zbl 1032.68640] \textit{Wang, Xin; Hamilton, Howard J.}, DBRS: A density-based spatial clustering method with random sampling, 563-575 [Zbl 1032.68636] \textit{Oh, Sang Hyun; Lee, Won Suk}, Optimized clustering for anomaly intrusion detection, 576-581 [Zbl 1032.68622] \textit{Itokawa, Yuko; Uchida, Tomoyuki; Shoudai, Takayoshi; Miyahara, Tetsuhiro; Nakamura, Yasuaki}, Finding frequent subgraphs from graph structured data with geometric information and its application to lossless compression, 582-594 [Zbl 1032.68601] \textit{Chatpatanasiri, Ratthachat; Kijsirikul, Boonserm}, Upgrading ILP rules to first-order Bayesian networks, 595-601 [Zbl 1032.68590] \textit{Kim, Youngok; Lee, Soowon}, A clustering validity assessment index, 602-608 [Zbl 1032.68609]