Abstract is missing.
- Machine Learning for Analyzing Human Brain FunctionTom M. Mitchell. 1 [doi]
- Subgroup Discovery Techniques and ApplicationsNada Lavrac. 2-14 [doi]
- IT Development in the 21:::st::: Century and Its ImplicationsUnna Huh. 15-20 [doi]
- Data Mining of Gene Expression Microarray via Weighted Prefix TreesTran Trang, Nguyen Cam Chi, Hoang Ngoc Minh. 21-31 [doi]
- Automatic Extraction of Low Frequency Bilingual Word Pairs from Parallel Corpora with Various LanguagesHiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi. 32-37 [doi]
- A Kernel Function Method in ClusteringLing Zhang, Tao Wu, Yanping Zhang. 38-42 [doi]
- Performance Measurements for Privacy Preserving Data MiningNan Zhang 0004, Wei Zhao, Jianer Chen. 43-49 [doi]
- Extraction of Frequent Few-Overlapped Monotone DNF Formulas with Depth-First PruningYoshikazu Shima, Kouichi Hirata, Masateru Harao. 50-60 [doi]
- Rule Extraction from Trained Support Vector MachinesYing Zhang, Hongye Su, Tao Jia, Jian Chu. 61-70 [doi]
- Pruning Derivative Partial Rules During Impact Rule DiscoveryShiying Huang, Geoffrey I. Webb. 71-80 [doi]
- IGB: A New Informative Generic Base of Association RulesGhada Gasmi, Sadok Ben Yahia, Engelbert Mephu Nguifo, Yahya Slimani. 81-90 [doi]
- A Divide and Conquer Approach for Deriving Partially Ordered Sub-structuresSadok Ben Yahia, Yahya Slimani, Jihem Rezgui. 91-96 [doi]
- Finding Sporadic Rules Using Apriori-InverseYun Sing Koh, Nathan Rountree. 97-106 [doi]
- Automatic View Selection: An Application to Image MiningManoranjan Dash, Deepak Kolippakkam. 107-113 [doi]
- Pushing Tougher Constraints in Frequent Pattern MiningFrancesco Bonchi, Claudio Lucchese. 114-124 [doi]
- An Efficient Compression Technique for Frequent Itemset Generation in Association Rule MiningMafruz Zaman Ashrafi, David Taniar, Kate A. Smith. 125-135 [doi]
- Mining Time-Profiled Associations: An Extended AbstractJin Soung Yoo, Pusheng Zhang, Shashi Shekhar. 136-142 [doi]
- Online Algorithms for Mining Inter-stream Associations from Large Sensor NetworksK. K. Loo, Ivy Tong, Ben Kao. 143-149 [doi]
- Mining Frequent Ordered PatternsZhi-Hong Deng, Cong-Rui Ji, Ming Zhang, Shi-Wei Tang. 150-154 [doi]
- Conditional Random Fields for Transmembrane Helix PredictionLior Lukov, Sanjay Chawla, W. Bret Church. 155-161 [doi]
- A DNA Index Structure Using Frequency and Position Information of Genetic AlphabetWoo-Cheol Kim, Sanghyun Park, Jung-Im Won, Sang-Wook Kim, Jeehee Yoon. 162-172 [doi]
- An Automatic Unsupervised Querying Algorithm for Efficient Information Extraction in Biomedical DomainMin Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen. 173-179 [doi]
- Voting Fuzzy k-NN to Predict Protein Subcellular Localization from Normalized Amino Acid Pair CompositionsThai Quang Tung, Doheon Lee, Dae Won Kim, Jong-Tae Lim. 180-185 [doi]
- Comparison of Tree Based Methods on Mammography DataRichard D. De Veaux, Thu Hoàng. 186-191 [doi]
- Bayesian Sequence Learning for Predicting Protein Cleavage PointsMichael Mayo. 192-202 [doi]
- A Novel Indexing Method for Efficient Sequence Matching in Large DNA Database EnvironmentJung-Im Won, Jeehee Yoon, Sanghyun Park, Sang-Wook Kim. 203-215 [doi]
- Threshold Tuning for Improved Classification Association Rule MiningFrans Coenen, Paul H. Leng, Lu Zhang. 216-225 [doi]
- Using Rough Set in Feature Selection and Reduction in Face Recognition ProblemLe Hoai Bac, Nguyen Anh Tuan. 226-233 [doi]
- Analysis of Company Growth Data Using Genetic Algorithms on Binary TreesGerrit K. Janssens, Kenneth Sörensen, Arthur Limère, Koen Vanhoof. 234-239 [doi]
- Considering Re-occurring Features in Associative ClassifiersRafal Rak, Wojciech Stach, Osmar R. Zaïane, Maria-Luiza Antonie. 240-248 [doi]
- A New Evolutionary Neural Network ClassifierArit Thammano, Asavin Meengen. 249-255 [doi]
- A Privacy-Preserving Classification Mining AlgorithmWeiping Ge, Wei Wang, Xiaorong Li, Baile Shi. 256-261 [doi]
- Combining Classifiers with Multi-representation of Context in Word Sense DisambiguationCuong Anh Le, Van-Nam Huynh, Akira Shimazu. 262-268 [doi]
- Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted RulesKazuko Takahashi, Hiroya Takamura, Manabu Okumura. 269-279 [doi]
- Retrieval Based on Language Model with Relative Entropy and FeedbackHua Huo, Boqin Feng. 280-289 [doi]
- Text Classification for DAG-Structured CategoriesCao D. Nguyen, Tran A. Dung, Tru H. Cao. 290-300 [doi]
- Sentiment Classification Using Word Sub-sequences and Dependency Sub-treesShotaro Matsumoto, Hiroya Takamura, Manabu Okumura. 301-311 [doi]
- Improving Rough Classifiers Using Concept OntologyNguyen Sinh Hoa, Hung Son Nguyen. 312-322 [doi]
- QED: An Efficient Framework for Temporal Region Query ProcessingYi-Hong Chu, Kun-Ta Chuang, Ming-Syan Chen. 323-332 [doi]
- A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data StreamsJessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-jian Yu, Jia-Jin Le. 333-342 [doi]
- Locating Motifs in Time-Series DataZheng Liu, Jeffrey Xu Yu, Xuemin Lin, Hongjun Lu, Wei Wang 0011. 343-353 [doi]
- Stochastic Local Clustering for Massive GraphsSatu Elisa Schaeffer. 354-360 [doi]
- A Neighborhood-Based Clustering AlgorithmShuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Zhexue Huang. 361-371 [doi]
- Improved Self-splitting Competitive Learning AlgorithmJun Liu, Kotagiri Ramamohanarao. 372-377 [doi]
- Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive MetricsMirco Nanni. 378-387 [doi]
- Dynamic Cluster Formation Using Level Set MethodsAndy M. Yip, Chris H. Q. Ding, Tony F. Chan. 388-398 [doi]
- A Vector Field Visualization Technique for Self-organizing MapsGeorg Pölzlbauer, Andreas Rauber, Michael Dittenbach. 399-409 [doi]
- Visualization of Cluster Changes by Comparing Self-organizing MapsDenny, David McG. Squire. 410-419 [doi]
- An Incremental Data Stream Clustering Algorithm Based on Dense Units DetectionJing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan. 420-425 [doi]
- Visual Interactive Evolutionary Algorithm for High Dimensional Data Clustering and Outlier DetectionLydia Boudjeloud, François Poulet. 426-431 [doi]
- Approximated Clustering of Distributed High-Dimensional DataHans-Peter Kriegel, Peter Kunath, Martin Pfeifle, Matthias Renz. 432-441 [doi]
- Improvements of IncSpan: Incremental Mining of Sequential Patterns in Large DatabaseSon N. Nguyen, Xingzhi Sun, Maria E. Orlowska. 442-451 [doi]
- Efficient Sampling: Application to Image DataSurong Wang, Manoranjan Dash, Liang-Tien Chia. 452-463 [doi]
- Cluster-Based Rough Set ConstructionQiang Li, Bo Zhang. 464-473 [doi]
- Learning Bayesian Networks Structures from Incomplete Data: An Efficient Approach Based on Extended Evolutionary ProgrammingXiaolin Li, Xiangdong He, Senmiao Yuan. 474-479 [doi]
- Dynamic Fuzzy Clustering for Recommender SystemsSunghwan Min, Ingoo Han. 480-485 [doi]
- Improving Mining Quality by Exploiting Data DependencyFang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stott Parker Jr.. 486-499 [doi]
- Feature Selection for High Dimensional Face Image Using Self-organizing MapsXiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang. 500-504 [doi]
- Progressive Sampling for Association Rules Based on Sampling Error EstimationKun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang. 505-515 [doi]
- CL ::::e::::V::::er::::: A Feature Subset Selection Technique for Multivariate Time SeriesKiyoung Yang, Hyunjin Yoon, Cyrus Shahabi. 516-522 [doi]
- Covariance and PCA for Categorical VariablesHirotaka Niitsuma, Takashi Okada. 523-528 [doi]
- ADenTS: An Adaptive Density-Based Tree Structure for Approximating Aggregate Queries over Real AttributesTianyi Wu, Jian Xu, Chen Wang, Wei Wang, Baile Shi. 529-538 [doi]
- Frequent Itemset Mining with Parallel RDBMSXuequn Shang, Kai-Uwe Sattler. 539-544 [doi]
- Using Consensus Susceptibility and Consistency Measures for Inconsistent Knowledge ManagementNgoc Thanh Nguyen, Michal Malowiecki. 545-554 [doi]
- WLPMiner: Weighted Frequent Pattern Mining with Length-Decreasing Support ConstraintsUnil Yun, John J. Leggett. 555-567 [doi]
- A Framework for Incorporating Class Priors into Discriminative ClassificationRong Jin, Yi Liu. 568-577 [doi]
- Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-DataChia Huey Ooi, Madhu Chetty. 578-587 [doi]
- Kernels over Relational Algebra StructuresAdam Woznica, Alexandros Kalousis, Melanie Hilario. 588-598 [doi]
- Adaptive Nonlinear Auto-Associative Modeling Through Manifold LearningJunping Zhang, Stan Z. Li. 599-604 [doi]
- Maximizing Tree Diversity by Building Complete-Random Decision TreesFei Tony Liu, Kai Ming Ting, Wei Fan. 605-610 [doi]
- SETRED: Self-training with EditingMing Li, Zhi-Hua Zhou. 611-621 [doi]
- Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic AnalysisLuo Si, Rong Jin. 622-631 [doi]
- Training Support Vector Machines Using Greedy Stagewise AlgorithmLiefeng Bo, Ling Wang, Licheng Jiao. 632-638 [doi]
- Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured DataPhu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio. 639-649 [doi]
- Improved Bayesian Spam Filtering Based on Co-weighted Multi-area InformationRaju Shrestha, Yaping Lin. 650-660 [doi]
- An Efficient Framework for Mining Flexible ConstraintsArnaud Soulet, Bruno Crémilleux. 661-671 [doi]
- Support Oriented Discovery of Generalized Disjunction-Free Representation of Frequent Patterns with NegationMarzena Kryszkiewicz, Katarzyna Cichon. 672-682 [doi]
- Feature Selection Algorithm for Data with Both Nominal and Continuous FeaturesWenyin Tang, Kezhi Mao. 683-688 [doi]
- A Two-Phase Algorithm for Fast Discovery of High Utility ItemsetsYing Liu, Wei-keng Liao, Alok N. Choudhary. 689-695 [doi]
- On Multiple Query Optimization in Data MiningMarek Wojciechowski, Maciej Zakrzewicz. 696-701 [doi]
- USAID: Unifying Signature-Based and Anomaly-Based Intrusion DetectionZhuowei Li, Amitabha Das, Jianying Zhou. 702-712 [doi]
- Mining Mobile Group Patterns: A Trajectory-Based ApproachSan-Yih Hwang, Ying-Han Liu, Jeng-Kuen Chiu, Ee-Peng Lim. 713-718 [doi]
- Can We Apply Projection Based Frequent Pattern Mining Paradigm to Spatial Co-location Mining?Yan Huang, Liqin Zhang, Ping Yu. 719-725 [doi]
- PatZip: Pattern-Preserved Spatial Data CompressionYu Qian, Kang Zhang, D. T. Huynh. 726-736 [doi]
- A Likelihood Ratio Distance Measure for the Similarity Between the Fourier Transform of Time SeriesGareth J. Janacek, Anthony J. Bagnall, M. Powell. 737-743 [doi]
- The TIMERS II Algorithm for the Discovery of CausalityHoward J. Hamilton, Kamran Karimi. 744-750 [doi]
- A Recent-Biased Dimension Reduction Technique for Time Series DataYanchang Zhao, Chengqi Zhang, Shichao Zhang. 751-757 [doi]
- Graph Partition Model for Robust Temporal Data SegmentationJinhui Yuan, Bo Zhang, Fuzong Lin. 758-763 [doi]
- Accurate Symbolization of Time SeriesXinqiang Zuo, Xiaoming Jin. 764-770 [doi]
- A Novel Bit Level Time Series Representation with Implication of Similarity Search and ClusteringChotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Anthony J. Bagnall, Stefano Lonardi. 771-777 [doi]
- Finding Temporal Features of Event-Oriented PatternsXingzhi Sun, Maria E. Orlowska, Xue Li. 778-784 [doi]
- An Anomaly Detection Method for Spacecraft Using Relevance Vector LearningRyohei Fujimaki, Takehisa Yairi, Kazuo Machida. 785-790 [doi]
- Cyclic Pattern Kernels RevisitedTamás Horváth. 791-801 [doi]
- Subspace Clustering of Text Documents with Feature Weighting ::::K::::-Means AlgorithmLiping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang. 802-812 [doi]
- Using Term Clustering and Supervised Term Affinity Construction to Boost Text ClassificationChong Wang 0002, Wenyuan Wang. 813-819 [doi]
- Technology Trends Analysis from the Internet ResourcesShin ichi Kobayashi, Yasuyuki Shirai, Kazuo Hiyane, Fumihiro Kumeno, Hiroshi Inujima, Noriyoshi Yamauchi. 820-825 [doi]
- Dynamic Mining Hierarchical Topic from Web News Stream Data Using Divisive-Agglomerative Clustering MethodJian-Wei Liu, Shou-jian Yu, Jia-Jin Le. 826-831 [doi]
- Collecting Topic-Related Web Pages for Link Structure Analysis by Using a Potential Hub and Authority First ApproachLeuo-hong Wang, Tong-Wen Lee. 832-837 [doi]
- A Top-Down Algorithm for Mining Web Access Patterns from Web LogsJiankui Guo, Beijun Ruan, Zunping Cheng, Fang-zhong Su, Yaqin Wang, Xu-bin Deng, Ning Shang, Yangyong Zhu. 838-843 [doi]
- Kernel Principal Component Analysis for Content Based Image RetrievalGuang-Ho Cha. 844-849 [doi]
- Mining Frequent Trees with Node-Inclusion ConstraintsAtsuyoshi Nakamura, Mineichi Kudo. 850-860 [doi]