default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID9. PAKDD 2005: Hanoi, Vietnam
- Tu Bao Ho, David Wai-Lok Cheung, Huan Liu:
Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings. Lecture Notes in Computer Science 3518, Springer 2005, ISBN 3-540-26076-5
Keynote Speech and Invited Talks
- Tom M. Mitchell:
Machine Learning for Analyzing Human Brain Function. 1 - Nada Lavrac:
Subgroup Discovery Techniques and Applications. 2-14 - Unna Huh:
IT Development in the 21st Century and Its Implications. 15-20
Theoretic Foundations
- Tran Trang, Nguyen Cam Chi, Vincel Hoang Ngoc Minh:
Data Mining of Gene Expression Microarray via Weighted Prefix Trees. 21-31 - Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi:
Automatic Extraction of Low Frequency Bilingual Word Pairs from Parallel Corpora with Various Languages. 32-37 - Ling Zhang, Tao Wu, Yanping Zhang:
A Kernel Function Method in Clustering. 38-42 - Nan Zhang, Wei Zhao
, Jianer Chen:
Performance Measurements for Privacy Preserving Data Mining. 43-49 - Yoshikazu Shima, Kouichi Hirata, Masateru Harao:
Extraction of Frequent Few-Overlapped Monotone DNF Formulas with Depth-First Pruning. 50-60
Association Rules
- Ying Zhang, Hongye Su, Tao Jia, Jian Chu:
Rule Extraction from Trained Support Vector Machines. 61-70 - Shiying Huang, Geoffrey I. Webb:
Pruning Derivative Partial Rules During Impact Rule Discovery. 71-80 - Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Nguifo, Yahya Slimani:
IGB: A New Informative Generic Base of Association Rules. 81-90 - Sadok Ben Yahia, Yahya Slimani, Jihem Rezgui:
A Divide and Conquer Approach for Deriving Partially Ordered Sub-structures. 91-96 - Yun Sing Koh, Nathan Rountree:
Finding Sporadic Rules Using Apriori-Inverse. 97-106 - Manoranjan Dash, Deepak Kolippakkam:
Automatic View Selection: An Application to Image Mining. 107-113 - Francesco Bonchi, Claudio Lucchese:
Pushing Tougher Constraints in Frequent Pattern Mining. 114-124 - Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith:
An Efficient Compression Technique for Frequent Itemset Generation in Association Rule Mining. 125-135 - Jin Soung Yoo, Pusheng Zhang, Shashi Shekhar:
Mining Time-Profiled Associations: An Extended Abstract. 136-142 - K. K. Loo, Ivy Tong, Ben Kao:
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks. 143-149 - Zhi-Hong Deng, Cong-Rui Ji, Ming Zhang, Shi-Wei Tang:
Mining Frequent Ordered Patterns. 150-154
Biomedical Domains
- Lior Lukov, Sanjay Chawla, W. Bret Church:
Conditional Random Fields for Transmembrane Helix Prediction. 155-161 - Woo-Cheol Kim, Sanghyun Park, Jung-Im Won, Sang-Wook Kim, Jeehee Yoon:
A DNA Index Structure Using Frequency and Position Information of Genetic Alphabet. 162-172 - Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen:
An Automatic Unsupervised Querying Algorithm for Efficient Information Extraction in Biomedical Domain. 173-179 - Thai Quang Tung, Doheon Lee, Dae-Won Kim, Jong-Tae Lim:
Voting Fuzzy k-NN to Predict Protein Subcellular Localization from Normalized Amino Acid Pair Compositions. 180-185 - Richard D. De Veaux, Thu Hoàng:
Comparison of Tree Based Methods on Mammography Data. 186-191 - Michael Mayo:
Bayesian Sequence Learning for Predicting Protein Cleavage Points. 192-202 - Jung-Im Won, Jeehee Yoon, Sanghyun Park, Sang-Wook Kim:
A Novel Indexing Method for Efficient Sequence Matching in Large DNA Database Environment. 203-215
Classification and Ranking
- Frans Coenen, Paul H. Leng, Lu Zhang:
Threshold Tuning for Improved Classification Association Rule Mining. 216-225 - Hoai Bac Le, Nguyen Anh Tuan:
Using Rough Set in Feature Selection and Reduction in Face Recognition Problem. 226-233 - Gerrit K. Janssens, Kenneth Sörensen, Arthur Limère, Koen Vanhoof:
Analysis of Company Growth Data Using Genetic Algorithms on Binary Trees. 234-239 - Rafal Rak, Wojciech Stach, Osmar R. Zaïane, Maria-Luiza Antonie:
Considering Re-occurring Features in Associative Classifiers. 240-248 - Arit Thammano, Asavin Meengen:
A New Evolutionary Neural Network Classifier. 249-255 - Weiping Ge, Wei Wang, Xiaorong Li, Baile Shi:
A Privacy-Preserving Classification Mining Algorithm. 256-261 - Cuong Anh Le, Van-Nam Huynh, Akira Shimazu:
Combining Classifiers with Multi-representation of Context in Word Sense Disambiguation. 262-268 - Kazuko Takahashi, Hiroya Takamura, Manabu Okumura:
Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules. 269-279 - Hua Huo, Boqin Feng:
Retrieval Based on Language Model with Relative Entropy and Feedback. 280-289 - Cao D. Nguyen, Tran A. Dung, Tru H. Cao:
Text Classification for DAG-Structured Categories. 290-300 - Shotaro Matsumoto, Hiroya Takamura, Manabu Okumura:
Sentiment Classification Using Word Sub-sequences and Dependency Sub-trees. 301-311 - Sinh Hoa Nguyen, Hung Son Nguyen:
Improving Rough Classifiers Using Concept Ontology. 312-322 - Yi-Hong Chu, Kun-Ta Chuang, Ming-Syan Chen:
QED: An Efficient Framework for Temporal Region Query Processing. 323-332
Clustering
- Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le:
A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams. 333-342 - Zheng Liu, Jeffrey Xu Yu, Xuemin Lin, Hongjun Lu, Wei Wang:
Locating Motifs in Time-Series Data. 343-353 - Satu Elisa Schaeffer:
Stochastic Local Clustering for Massive Graphs. 354-360 - Shuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Zhexue Huang:
A Neighborhood-Based Clustering Algorithm. 361-371 - Jun Liu, Kotagiri Ramamohanarao:
Improved Self-splitting Competitive Learning Algorithm. 372-377 - Mirco Nanni:
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics. 378-387 - Andy M. Yip, Chris H. Q. Ding, Tony F. Chan:
Dynamic Cluster Formation Using Level Set Methods. 388-398 - Georg Pölzlbauer, Andreas Rauber, Michael Dittenbach:
A Vector Field Visualization Technique for Self-organizing Maps. 399-409 - Denny, David McG. Squire:
Visualization of Cluster Changes by Comparing Self-organizing Maps. 410-419 - Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan:
An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection. 420-425 - Lydia Boudjeloud, François Poulet:
Visual Interactive Evolutionary Algorithm for High Dimensional Data Clustering and Outlier Detection. 426-431 - Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, Matthias Renz:
Approximated Clustering of Distributed High-Dimensional Data. 432-441
Dynamic Data Mining
- Son N. Nguyen, Xingzhi Sun, Maria E. Orlowska:
Improvements of IncSpan: Incremental Mining of Sequential Patterns in Large Database. 442-451 - Surong Wang, Manoranjan Dash, Liang-Tien Chia:
Efficient Sampling: Application to Image Data. 452-463 - Qiang Li, Bo Zhang:
Cluster-Based Rough Set Construction. 464-473
Graphic Model Discovery
- Xiao-Lin Li, Xiangdong He, Senmiao Yuan:
Learning Bayesian Networks Structures from Incomplete Data: An Efficient Approach Based on Extended Evolutionary Programming. 474-479 - Sung-Hwan Min, Ingoo Han:
Dynamic Fuzzy Clustering for Recommender Systems. 480-485 - Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stott Parker Jr.:
Improving Mining Quality by Exploiting Data Dependency. 486-499
High Dimensional Data
- Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang:
Feature Selection for High Dimensional Face Image Using Self-organizing Maps. 500-504 - Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang:
Progressive Sampling for Association Rules Based on Sampling Error Estimation. 505-515 - Kiyoung Yang, Hyunjin Yoon, Cyrus Shahabi:
CL eVer: A Feature Subset Selection Technique for Multivariate Time Series. 516-522 - Hirotaka Niitsuma, Takashi Okada:
Covariance and PCA for Categorical Variables. 523-528
Integration of Data Warehousing
- Tianyi Wu, Jian Xu, Chen Wang, Wei Wang, Baile Shi:
ADenTS: An Adaptive Density-Based Tree Structure for Approximating Aggregate Queries over Real Attributes. 529-538 - Xuequn Shang, Kai-Uwe Sattler:
Frequent Itemset Mining with Parallel RDBMS. 539-544
Knowledge Management
- Ngoc Thanh Nguyen, Michal Malowiecki:
Using Consensus Susceptibility and Consistency Measures for Inconsistent Knowledge Management. 545-554 - Unil Yun, John J. Leggett:
WLPMiner: Weighted Frequent Pattern Mining with Length-Decreasing Support Constraints. 555-567
Machine Learning Methods
- Rong Jin, Yi Liu:
A Framework for Incorporating Class Priors into Discriminative Classification. 568-577 - Chia Huey Ooi, Madhu Chetty:
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data. 578-587 - Adam Woznica, Alexandros Kalousis, Melanie Hilario:
Kernels over Relational Algebra Structures. 588-598 - Junping Zhang, Stan Z. Li:
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning. 599-604 - Fei Tony Liu, Kai Ming Ting, Wei Fan:
Maximizing Tree Diversity by Building Complete-Random Decision Trees. 605-610 - Ming Li, Zhi-Hua Zhou:
SETRED: Self-training with Editing. 611-621 - Luo Si, Rong Jin:
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis. 622-631 - Liefeng Bo, Ling Wang, Licheng Jiao:
Training Support Vector Machines Using Greedy Stagewise Algorithm. 632-638 - Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio:
Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data. 639-649 - Raju Shrestha, Yaping Lin:
Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information. 650-660
Novel Algorithms
- Arnaud Soulet, Bruno Crémilleux:
An Efficient Framework for Mining Flexible Constraints. 661-671 - Marzena Kryszkiewicz, Katarzyna Cichon:
Support Oriented Discovery of Generalized Disjunction-Free Representation of Frequent Patterns with Negation. 672-682 - Wenyin Tang, Kezhi Mao:
Feature Selection Algorithm for Data with Both Nominal and Continuous Features. 683-688 - Ying Liu, Wei-keng Liao, Alok N. Choudhary:
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets. 689-695 - Marek Wojciechowski, Maciej Zakrzewicz:
On Multiple Query Optimization in Data Mining. 696-701 - Zhuowei Li, Amitabha Das, Jianying Zhou:
USAID: Unifying Signature-Based and Anomaly-Based Intrusion Detection. 702-712
Spatial Data
- San-Yih Hwang, Ying-Han Liu, Jeng-Kuen Chiu, Ee-Peng Lim:
Mining Mobile Group Patterns: A Trajectory-Based Approach. 713-718 - Yan Huang, Liqin Zhang, Ping Yu:
Can We Apply Projection Based Frequent Pattern Mining Paradigm to Spatial Co-location Mining? 719-725 - Yu Qian, Kang Zhang, Dung T. Huynh:
PatZip: Pattern-Preserved Spatial Data Compression. 726-736
Temporal Data
- Gareth J. Janacek, Anthony J. Bagnall, M. Powell:
A Likelihood Ratio Distance Measure for the Similarity Between the Fourier Transform of Time Series. 737-743 - Howard J. Hamilton, Kamran Karimi:
The TIMERS II Algorithm for the Discovery of Causality. 744-750 - Yanchang Zhao, Chengqi Zhang, Shichao Zhang:
A Recent-Biased Dimension Reduction Technique for Time Series Data. 751-757 - Jinhui Yuan, Bo Zhang, Fuzong Lin:
Graph Partition Model for Robust Temporal Data Segmentation. 758-763 - Xinqiang Zuo, Xiaoming Jin:
Accurate Symbolization of Time Series. 764-770 - Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Anthony J. Bagnall, Stefano Lonardi:
A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering. 771-777 - Xingzhi Sun, Maria E. Orlowska, Xue Li:
Finding Temporal Features of Event-Oriented Patterns. 778-784 - Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida:
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning. 785-790 - Tamás Horváth:
Cyclic Pattern Kernels Revisited. 791-801
Text and Web Data Mining
- Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang:
Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm. 802-812 - Chong Wang, Wenyuan Wang:
Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification. 813-819 - Shin'ichi Kobayashi, Yasuyuki Shirai, Kazuo Hiyane, Fumihiro Kumeno, Hiroshi Inujima, Noriyoshi Yamauchi:
Technology Trends Analysis from the Internet Resources. 820-825 - Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le:
Dynamic Mining Hierarchical Topic from Web News Stream Data Using Divisive-Agglomerative Clustering Method. 826-831 - Leuo-hong Wang, Tong-Wen Lee:
Collecting Topic-Related Web Pages for Link Structure Analysis by Using a Potential Hub and Authority First Approach. 832-837 - Jiankui Guo, Beijun Ruan, Zunping Cheng, Fang-zhong Su, Yaqin Wang, Xu-bin Deng, Ning Shang, Yangyong Zhu:
A Top-Down Algorithm for Mining Web Access Patterns from Web Logs. 838-843 - Guang-Ho Cha:
Kernel Principal Component Analysis for Content Based Image Retrieval. 844-849 - Atsuyoshi Nakamura, Mineichi Kudo:
Mining Frequent Trees with Node-Inclusion Constraints. 850-860
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-03 20:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
