Advances in knowledge discovery and data mining
| Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:35033/TOC |
|---|---|
| Ostali autori: | Pacific-Asia Conference on Knowledge Discovery and Data Mining (-) |
| Ostali autori: | Whang, Kyu-Young (-) |
| Vrsta građe: | e-knjiga |
| Jezik: | eng |
| Impresum: |
New York :
Springer,
2003.
|
| Nakladnička cjelina: |
Lecture notes in computer science ;
2637. Lecture notes in computer science. Lecture notes in artificial intelligence. |
| Predmet: | |
| Online pristup: |
Restricted to Springer LINK subscribers |
Sadržaj:
- Data Mining as an Automated Service /
- P. S. Bradley
- Trends and Challenges in the Industrial Applications of KDD /
- Ramasamy Uthurusamy
- Finding Event-Oriented Patterns in Long Temporal Sequences /
- Xingzhi Sun, Maria E. Orlowska and Xiaofang Zhou
- Mining Frequent Episodes for Relating Financial Events and Stock Trends /
- Anny Ng and Ada Wai-chee Fu
- An Efficient Algorithm of Frequent Connected Subgraph Extraction /
- Minghsheng Hong, Haofeng Zhou, Wei Wang and Baile Shi
- Classifier Construction by Graph-Based Induction for Graph-Structured Data /
- Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio
- Comparison of the Performance of Center-Based Clustering Algorithms /
- Bin Zhang
- Automatic Extraction of Clusters from Hierarchical Clustering Representations /
- Jorg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu and Alex Kovarsky
- Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information /
- Seong-Bae Park and Byoung-Tak Zhang
- Extracting Shared Topics of Multiple Documents /
- Xiang Ji and Hongyuan Zha
- An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition /
- Yu-Seop Kim, Jeong-Ho Chang and Byoung-Tak Zhang
- A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data /
- Tianhao Wu and William M. Pottenger
- Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules /
- Annie Lau, Siew Siew Ong, Ashesh Mahidadia, Achim Hoffmann, Johanna Westbrook and Tatjana Zrimec
- Predicting Protein Structural Class from Closed Protein Sequences /
- N. Rattanakronkul, T. Wattarujeekrit and K. Waiyamai
- Learning Rules to Extract Protein Interactions from Biomedical Text /
- Tu Minh Phuong, Doheon Lee and Kwang Hyung Lee
- Predicting Protein Interactions in Human by Homologous Interactions in Yeast /
- Hyongguen Kim, Jong Park and Kyungsook Han
- Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation /
- Yi-Dong Shen, Qiang Yang, Zhong Zhang and Hongjun Lu
- A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules /
- Edmond H. Wu and Michael K. Ng
- A Markovian Approach for Web User Profiling and Clustering /
- Younes Hafri, Chabane Djeraba, Peter Stanchev and Bruno Bachimont
- Extracting User Interests from Bookmarks on the Web /
- Jason J. Jung and Geun-Sik Jo
- Mining Frequent Instances on Workflows /
- Gianluigi Greco, Antonella Guzzo, Giuseppe Manco and Domenico Sacca
- Real Time Video Data Mining for Surveillance Video Streams /
- JungHwan Oh, JeongKyu Lee and Sanjaykumar Kote
- Distinguishing Causal and Acausal Temporal Relations /
- Kamran Karimi and Howard J. Hamilton
- Online Bayes Point Machines /
- Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John Platt and Robert C. Williamson
- Exploiting Hierarchical Domain Values for Bayesian Learning /
- Yiqiu Han and Wai Lam
- A New Restricted Bayesian Network Classifier /
- Hongbo Shi, Zhihai Wang, Geoff Webb and Houkuan Huang
- AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets /
- Zhao Yanchang and Song Junde
- Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus /
- Ickjai Lee and Mary-Anne Williams
- An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data /
- Jae-Woo Chang
- Enhancing SWF for Incremental Association Mining by Itemset Maintenance /
- Chia-Hui Chang and Shi-Hsan Yang
- Reducing Rule Covers with Deterministic Error Bounds /
- Vikram Pudi and Jayant R. Haritsa
- Evolutionary Approach for Mining Association Rules on Dynamic Databases /
- P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal and L. M. Patnaik
- Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining /
- Yi Lu and C. I. Ezeife
- An Integrated System of Mining HTML Texts and Filtering Structured Documents /
- Bo-Hyun Yun, Myung-Eun Lim and Soo-Hyun Park
- A New Sequential Mining Approach to XML Document Similarity Computation /
- Ho-pong Leung, Fu-lai Chung and Stephen Chi-fai Chan
- Optimization of Fuzzy Rules for Classification Using Genetic Algorithm /
- Myung Won Kim, Joung Woo Ryu, Samkeun Kim and Joong Geun Lee
- Fast Pattern Selection for Support Vector Classifiers /
- Hyunjung Shin and Sungzoon Cho
- Averaged Boosting: A Noise-Robust Ensemble Method /
- Yongdai Kim
- Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule /
- Chen-zhou Ye, Jie Yang, Li-xiu Yao and Nian-yi Chen
- HOT: Hypergraph-Based Outlier Test for Categorical Data /
- Li Wei, Weining Qian, Aoying Zhou, Wen Jin and Jeffrey X. Yu
- A Method for Aggregating Partitions. Applications in K.D.D. /
- Pierre-Emmanuel Jouve and Nicolas Nicoloyannis
- Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding /
- Pauline L. H. Chou and Xiuzhen Zhang
- Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data /
- Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Sachio Hirokawa, Kenichi Takahashi and Hiroaki Ueda
- Step-By-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube /
- Chao Liu, Ming Zhang, Minrui Zheng and Yixin Chen
- Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining /
- Chang-Hung Lee, Jian Chih Ou and Ming-Syan Chen
- Mining Open Source Software (OSS) Data Using Association Rules Network /
- Sanjay Chawla, Bavani Arunasalam and Joseph Davis
- Parallel FP-Growth on PC Cluster /
- Iko Pramudiono and Masaru Kitsuregawa
- Active Feature Selection Using Classes /
- Huan Liu, Lei Yu, Manoranjan Dash and Hiroshi Motoda
- Electricity Based External Similarity of Categorical Attributes /
- Christopher R. Palmer and Christos Faloutsos
- Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers /
- Ying Yang and Geoffrey I. Webb
- Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach /
- Shoji Hirano and Shusaku Tsumoto
- Considering Correlation between Variables to Improve Spatiotemporal Forecasting /
- Zhigang Li, Liangang Liu and Margaret H. Dunham
- Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach /
- Pusheng Zhang, Yan Huang, Shashi Shekhar and Vipin Kumar
- When to Update the Sequential Patterns of Stream Data? /
- Qingguo Zheng, Ke Xu and Shilong Ma
- A New Clustering Algorithm for Transaction Data via Caucus /
- Jinmei Xu, Hui Xiong, Sam Yuan Sung and Vipin Kumar
- DBRS: A Density-Based Spatial Clustering Method with Random Sampling /
- Xin Wang and Howard J. Hamilton
- Optimized Clustering for Anomaly Intrusion Detection /
- Sang Hyun Oh and Won Suk Lee
- Finding Frequent Subgraphs from Graph Structured Data with Geometric Information and Its Application to Lossless Compression /
- Yuko Itokawa, Tomoyuki Uchida, Takayoshi Shoudai, Tetsuhiro Miyahara and Yasuaki Nakamura
- Upgrading ILP Rules to First-Order Bayesian Networks /
- Ratthachat Chatpatanasiri and Boonserm Kijsirikul
- A Clustering Validity Assessment Index /
- Youngok Kim and Soowon Lee.