5. ICDM 2005:
Houston,
Texas,
USA
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA.
IEEE Computer Society 2005, ISBN 0-7695-2278-5 BibTeX
Introduction
Regular Papers
- Alan S. Abrahams, Adrian Becker, Daniel Fleder, Ian C. MacMillan:
Handling Generalized Cost Functions in the Partitioning Optimization Problem through Sequential Binary Programming.
3-9
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- Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger:
Online Hierarchical Clustering in a Data Warehouse Environment.
10-17
Electronic Edition (link) BibTeX
- Manu Aery, Sharma Chakravarthy:
eMailSift: Email Classification Based on Structure and Content.
18-25
Electronic Edition (link) BibTeX
- Deepak K. Agarwal:
An Empirical Bayes Approach to Detect Anomalies in Dynamic Multidimensional Arrays.
26-33
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- Costin Barbu, Raja Tanveer Iqbal, Jing Peng:
Classifier Fusion Using Shared Sampling Distribution for Boosting.
34-41
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- Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, David D. Lewis, Abdur Chowdhury, Aleksander Kolcz:
Improving Automatic Query Classification via Semi-Supervised Learning.
42-49
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- Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mark R. Verardo, Hyung-Jeong Yang, Christos Faloutsos, Ambuj K. Singh:
ViVo: Visual Vocabulary Construction for Mining Biomedical Images.
50-57
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- Mikhail Bilenko, Sugato Basu, Mehran Sahami:
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping.
58-65
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- Julien Blanchard, Fabrice Guillet, Régis Gras, Henri Briand:
Using Information-Theoretic Measures to Assess Association Rule Interestingness.
66-73
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- Karsten M. Borgwardt, Hans-Peter Kriegel:
Shortest-Path Kernels on Graphs.
74-81
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- Huiping Cao, Nikos Mamoulis, David W. Cheung:
Mining Frequent Spatio-Temporal Sequential Patterns.
82-89
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- Philip K. Chan, Matthew V. Mahoney:
Modeling Multiple Time Series for Anomaly Detection.
90-97
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- Varun Chandola, Vipin Kumar:
Summarization - Compressing Data into an Informative Representation.
98-105
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- Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen:
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values.
106-113
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- Jason R. Chen:
Making Subsequence Time Series Clustering Meaningful.
114-121
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- Anne Denton:
Kernel-Density-Based Clustering of Time Series Subsequences Using a Continuous Random-Walk Noise Model.
122-129
Electronic Edition (link) BibTeX
- Magdalini Eirinaki, Michalis Vazirgiannis:
Usage-Based PageRank for Web Personalization.
130-137
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- Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagarmid:
WARP: Time Warping for Periodicity Detection.
138-145
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- Mohammad El-Hajj, Osmar R. Zaïane, Paul Nalos:
Bifold Constraint-Based Mining by Simultaneous Monotone and Anti-Monotone Checking.
146-153
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- Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Yu, Kevin Drummey:
Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches.
154-161
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- Frédéric Flouvat, Fabien De Marchi, Jean-Marc Petit:
A Thorough Experimental Study of Datasets for Frequent Itemsets.
162-169
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- Shohei Hido, Hiroyuki Kawano:
AMIOT: Induced Ordered Tree Mining in Tree-Structured Databases.
170-177
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- Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel:
Hierarchy-Regularized Latent Semantic Indexing.
178-185
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- Koji Iwanuma, Ryuichi Ishihara, Yo Takano, Hidetomo Nabeshima:
Extracting Frequent Subsequences from a Single Long Data Sequence: A Novel Anti-Monotonic Measure and a Simple On-Line Algorithm.
186-193
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- Xiaonan Ji, James Bailey, Guozhu Dong:
Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints.
194-201
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- Liangxiao Jiang, Harry Zhang:
Learning Instance Greedily Cloning Naive Bayes for Ranking.
202-209
Electronic Edition (link) BibTeX
- Ruoming Jin, Gagan Agrawal:
An Algorithm for In-Core Frequent Itemset Mining on Streaming Data.
210-217
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- Alexandros Kalousis, Julien Prados, Melanie Hilario:
Stability of Feature Selection Algorithms.
218-225
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- Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu:
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence.
226-233
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- Effrosini Kokiopoulou, Yousef Saad:
Orthogonal Neighborhood Preserving Projections.
234-241
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- Tamara G. Kolda, Brett W. Bader, Joseph P. Kenny:
Higher-Order Web Link Analysis Using Multilinear Algebra.
242-249
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- Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Sebastian Wurst:
A Generic Framework for Efficient Subspace Clustering of High-Dimensional Data.
250-257
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- Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert:
Effective and Efficient Distributed Model-Based Clustering.
258-265
Electronic Edition (link) BibTeX
- Daesu Lee, Wonsuk Lee:
Finding Maximal Frequent Itemsets over Online Data Streams Adaptively.
266-273
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- Carson Kai-Sang Leung, Quamrul I. Khan, Tariqul Hoque:
CanTree: A Tree Structure for Efficient Incremental Mining of Frequent Patterns.
274-281
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- Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Combining Multiple Clusterings by Soft Correspondence.
282-289
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- Anna M. Manning, David J. Haglin:
A New Algorithm for Finding Minimal Sample Uniques for Use in Statistical Disclosure Assessment.
290-297
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- Keith Marsolo, Srinivasan Parthasarathy:
Alternate Representation of Distance Matrices for Characterization of Protein Structure.
298-305
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- Shawn Martin:
Training Support Vector Machines Using Gilbert's Algorithm.
306-313
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- Steven Minton, Claude Nanjo, Craig A. Knoblock, Martin Michalowski, Matthew Michelson:
A Heterogeneous Field Matching Method for Record Linkage.
314-321
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- Jennifer Neville, David Jensen:
Leveraging Relational Autocorrelation with Latent Group Models.
322-329
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- Thomas Takeo Osugi, Kun Deng, Stephen D. Scott:
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning.
330-337
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- Feng Pan, Wei Wang, Anthony K. H. Tung, Jiong Yang:
Finding Representative Set from Massive Data.
338-345
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- Spiros Papadimitriou, Aristides Gionis, Panayiotis Tsaparas, Risto A. Väisänen, Heikki Mannila, Christos Faloutsos:
Parameter-Free Spatial Data Mining Using MDL.
346-353
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- Panagiotis Papapetrou, George Kollios, Stan Sclaroff, Dimitrios Gunopulos:
Discovering Frequent Arrangements of Temporal Intervals.
354-361
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- Marcelino Pereira dos Santos Silva, Gilberto Câmara, Ricardo Cartaxo Modesto de Souza, Dalton M. Valeriano, Maria Isabel Sobral Escada:
Mining Patterns of Change in Remote Sensing Image Databases.
362-369
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- Saharon Rosset, Claudia Perlich, Bianca Zadrozny:
Ranking-Based Evaluation of Regression Models.
370-377
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- Lars Schmidt-Thieme:
Compound Classification Models for Recommender Systems.
378-385
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- Ted E. Senator:
Multi-Stage Classification.
386-393
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- Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong:
Learning Functional Dependency Networks Based on Genetic Programming.
394-401
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- Michael Steinbach, Vipin Kumar:
Generalizing the Notion of Confidence.
402-409
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- Jonathan Stoeckel, Glenn Fung:
SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information.
410-417
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- Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Christos Faloutsos:
Neighborhood Formation and Anomaly Detection in Bipartite Graphs.
418-425
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- Xingzhi Sun, Philip S. Yu:
A Border-Based Approach for Hiding Sensitive Frequent Itemsets.
426-433
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- Zoltán Szamonek, Csaba Szepesvári:
X-mHMM: An Efficient Algorithm for Training Mixtures of HMMs When the Number of Mixtures Is Unknown.
434-441
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- Raz Tamir:
A Random Walk through Human Associations.
442-449
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- Dacheng Tao, Xuelong Li, Weiming Hu, Stephen J. Maybank, Xindong Wu:
Supervised Tensor Learning.
450-457
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- Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. Lochovsky:
A Bernoulli Relational Model for Nonlinear Embedding.
458-465
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- Ke Wang, Benjamin C. M. Fung, Philip S. Yu:
Template-Based Privacy Preservation in Classification Problems.
466-473
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- Peng Wang, Haixun Wang, Xiaochen Wu, Wei Wang, Baile Shi:
On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams.
474-481
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- Yongge Wang, Xintao Wu:
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation.
482-489
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- Li Wei, Eamonn J. Keogh, Helga Van Herle, Agenor Mafra-Neto:
Atomic Wedgie: Efficient Query Filtering for Streaming Times Series.
490-497
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- Oksana Yakhnenko, Adrian Silvescu, Vasant Honavar:
Discriminatively Trained Markov Model for Sequence Classification.
498-505
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- Jie Yin, Qiang Yang:
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering.
506-513
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- Peng Zhang, Norbert Riedel:
Discriminant Analysis: A Unified Approach.
514-521
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- Yi Zhang, W. Nick Street, Samuel Burer:
Sharing Classifiers among Ensembles from Related Problem Domains.
522-529
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- Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao:
A Visual Data Mining Framework for Convenient Identification of Useful Knowledge.
530-537
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- Dong Zhuang, Benyu Zhang, Qiang Yang, Jun Yan, Zheng Chen, Ying Chen:
Efficient Text Classification by Weighted Proximal SVM.
538-545
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Short Papers
- Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes.
549-552
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- Foto N. Afrati, Gautam Das, Aristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas:
Mining Chains of Relations.
553-556
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- Fabio Aiolli:
A Preference Model for Structured Supervised Learning Tasks.
557-560
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- Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
Blocking Anonymity Threats Raised by Frequent Itemset Mining.
561-564
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- Abraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, Ricardo Vilalta:
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience.
565-568
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- Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao:
Semi-Supervised Mixture of Kernels via LPBoost Methods.
569-572
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- Haiyun Bian, Raj Bhatnagar:
A Levelwise Search Algorithm for Interesting Subspace Clusters.
573-576
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- Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Chad Williams:
Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems.
577-580
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- Richard Butterworth, Gregory Piatetsky-Shapiro, Dan A. Simovici:
On Feature Selection through Clustering.
581-584
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- Gong Chen, Xindong Wu, Xingquan Zhu:
Sequential Pattern Mining in Multiple Streams.
585-588
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- Keke Chen, Ling Liu:
Privacy Preserving Data Classification with Rotation Perturbation.
589-592
Electronic Edition (link) BibTeX
- Yixin Chen, Henry L. Bart Jr., Shuqing Huang, Huimin Chen:
A Computational Framework for Taxonomic Research: Diagnosing Body Shape within Fish Species Complexes.
593-596
Electronic Edition (link) BibTeX
- Frans Coenen, Paul H. Leng:
Obtaining Best Parameter Values for Accurate Classification.
597-600
Electronic Edition (link) BibTeX
- Federico Di Palma, Giuseppe De Nicolao, Guido Miraglia, Oliver M. Donzelli:
Process Diagnosis via Electrical-Wafer-Sorting Maps Classification.
601-604
Electronic Edition (link) BibTeX
- Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu:
An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias.
605-608
Electronic Edition (link) BibTeX
- Johannes Fischer, Volker Heun, Stefan Kramer:
Fast Frequent String Mining Using Suffix Arrays.
609-612
Electronic Edition (link) BibTeX
- Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Ke Wang:
Privacy-Preserving Frequent Pattern Mining across Private Databases.
613-616
Electronic Edition (link) BibTeX
- Jie Gao, Jörg Denzinger, Robert C. James:
CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection.
617-620
Electronic Edition (link) BibTeX
- Like Gao, Xiaoyang Sean Wang:
Feature Selection for Building Cost-Effective Data Stream Classifiers.
621-624
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- Thomas George, Srujana Merugu:
A Scalable Collaborative Filtering Framework Based on Co-Clustering.
625-628
Electronic Edition (link) BibTeX
- Shantanu Godbole, Ganesh Ramakrishnan, Sunita Sarawagi:
Text Classification with Evolving Label-Sets.
629-632
Electronic Edition (link) BibTeX
- Ningthoujam Gourakishwar Singh, Sanasam Ranbir Singh, Anjana K. Mahanta:
CloseMiner: Discovering Frequent Closed Itemsets Using Frequent Closed Tidsets.
633-636
Electronic Edition (link) BibTeX
- Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, Michalis Vazirgiannis, Carlotta Domeniconi:
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria.
637-640
Electronic Edition (link) BibTeX
- Kirsten Hildrum, Philip S. Yu:
Focused Community Discovery.
641-644
Electronic Edition (link) BibTeX
- Ayça Azgin Hintoglu, Ali Inan, Yücel Saygin, Mehmet Keskinöz:
Suppressing Data Sets to Prevent Discovery of Association Rules.
645-648
Electronic Edition (link) BibTeX
- Han-Shen Huang, Bou-Ho Yang, Chun-Nan Hsu:
Triple Jump Acceleration for the EM Algorithm.
649-652
Electronic Edition (link) BibTeX
- Jin Huang, Charles X. Ling:
Partial Ensemble Classifiers Selection for Better Ranking.
653-656
Electronic Edition (link) BibTeX
- Tsuyoshi Idé:
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis.
657-660
Electronic Edition (link) BibTeX
- Vandana Pursnani Janeja, Vijayalakshmi Atluri:
FS3: A Random Walk Based Free-Form Spatial Scan Statistic for Anomalous Window Detection.
661-664
Electronic Edition (link) BibTeX
- Xing Jiang, Ah-Hwee Tan:
Mining Ontological Knowledge from Domain-Specific Text Documents.
665-668
Electronic Edition (link) BibTeX
- Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wai-Chee Fu:
Mining Patterns That Respond to Actions.
669-672
Electronic Edition (link) BibTeX
- Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho:
Supervised Ordering - An Empirical Survey.
673-676
Electronic Edition (link) BibTeX
- Ning Kang, Carlotta Domeniconi, Daniel Barbará:
Categorization and Keyword Identification of Unlabeled Documents.
677-680
Electronic Edition (link) BibTeX
- Ismo Kärkkäinen, Pasi Fränti:
Gradual Model Generator for Single-Pass Clustering.
681-684
Electronic Edition (link) BibTeX
- Paul Komarek, Andrew W. Moore:
Making Logistic Regression a Core Data Mining Tool with TR-IRLS.
685-688
Electronic Edition (link) BibTeX
- Hans-Peter Kriegel, Martin Pfeifle:
Hierarchical Density-Based Clustering of Uncertain Data.
689-692
Electronic Edition (link) BibTeX
- Nimit Kumar, Krishna Kummamuru, Deepa Paranjpe:
Semi-Supervised Clustering with Metric Learning Using Relative Comparisons.
693-696
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- Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agrawal:
On Learning Asymmetric Dissimilarity Measures.
697-700
Electronic Edition (link) BibTeX
- Longin Jan Latecki, Vasileios Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh:
Partial Elastic Matching of Time Series.
701-704
Electronic Edition (link) BibTeX
- In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen:
CLUGO: A Clustering Algorithm for Automated Functional Annotations Based on Gene Ontology.
705-708
Electronic Edition (link) BibTeX
- Daniel Lemire, Martin Brooks, Yuhong Yan:
An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation.
709-712
Electronic Edition (link) BibTeX
- Loïck Lhote, François Rioult, Arnaud Soulet:
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases.
713-716
Electronic Edition (link) BibTeX
- Charles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji:
Predicting Software Escalations with Maximum ROI.
717-720
Electronic Edition (link) BibTeX
- Jinze Liu, Susan Paulsen, Wei Wang, Andrew B. Nobel, Jan Prins:
Mining Approximate Frequent Itemsets from Noisy Data.
721-724
Electronic Edition (link) BibTeX
- Ning Liu, Benyu Zhang, Jun Yan, Zheng Chen, Wenyin Liu, Fengshan Bai, Leefeng Chien:
Text Representation: From Vector to Tensor.
725-728
Electronic Edition (link) BibTeX
- Elio Lozano, Edgar Acuña:
Parallel Algorithms for Distance-Based and Density-Based Outliers.
729-732
Electronic Edition (link) BibTeX
- Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen:
Bit Reduction Support Vector Machine.
733-736
Electronic Edition (link) BibTeX
- Sandeep Mane, Carson Murray, Shashi Shekhar, Jaideep Srivastava, Anne Pusey:
Spatial Clustering of Chimpanzee Locations for Neighborhood Identification.
737-740
Electronic Edition (link) BibTeX
- Bruno Martins, Mário J. Silva:
A Graph-Ranking Algorithm for Geo-Referencing Documents.
741-744
Electronic Edition (link) BibTeX
- Prem Melville, Foster J. Provost, Raymond J. Mooney:
An Expected Utility Approach to Active Feature-Value Acquisition.
745-748
Electronic Edition (link) BibTeX
- Dheerendranath Mundluru, Jayasimha Reddy Katukuri, Saygin Celebi:
Automatically Mining Result Records from Search Engine Response Pages.
749-752
Electronic Edition (link) BibTeX
- Jian Pei, Jian Liu, Haixun Wang, Ke Wang, Philip S. Yu, Jianyong Wang:
Efficiently Mining Frequent Closed Partial Orders.
753-756
Electronic Edition (link) BibTeX
- Kunal Punera, Joydeep Ghosh:
CLUMP: A Scalable and Robust Framework for Structure Discovery.
757-760
Electronic Edition (link) BibTeX
- Martin Scholz:
On the Tractability of Rule Discovery from Distributed Data.
761-764
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- Jiazheng Shi, Ashok Samal, David Marx:
Face Recognition Using Landmark-Based Bidimensional Regression.
765-768
Electronic Edition (link) BibTeX
- Arno Siebes, Muhammad Subianto, A. J. Feelders:
Instability of Classifiers on Categorical Data.
769-772
Electronic Edition (link) BibTeX
- Lisa Singh, Lise Getoor, Louis Licamele:
Pruning Social Networks Using Structural Properties and Descriptive Attributes.
773-776
Electronic Edition (link) BibTeX
- Arnaud Soulet, Bruno Crémilleux:
Optimizing Constraint-Based Mining by Automatically Relaxing Constraints.
777-780
Electronic Edition (link) BibTeX
- Lei Tang, Huan Liu:
Bias Analysis in Text Classification for Highly Skewed Data.
781-784
Electronic Edition (link) BibTeX
- Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda:
Efficient Mining of High Branching Factor Attribute Trees.
785-788
Electronic Edition (link) BibTeX
- Chi-Ho Tsang, Sam Kwong, Hanli Wang:
Anomaly Intrusion Detection Using Multi-Objective Genetic Fuzzy System and Agent-Based Evolutionary Computation Framework.
789-792
Electronic Edition (link) BibTeX
- Takashi Washio, Yuki Mitsunaga, Hiroshi Motoda:
Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering.
793-796
Electronic Edition (link) BibTeX
- Tak-Lam Wong, Wai Lam:
Hot Item Mining and Summarization from Multiple Auction Web Sites.
797-800
Electronic Edition (link) BibTeX
- Wensheng Wu, AnHai Doan, Clement T. Yu:
Merging Interface Schemas on the Deep Web via Clustering Aggregation.
801-804
Electronic Edition (link) BibTeX
- Kiyoung Yang, Cyrus Shahabi:
On the Stationarity of Multivariate Time Series for Correlation-Based Data Analysis.
805-808
Electronic Edition (link) BibTeX
- Sandeep Yaramakala, Dimitris Margaritis:
Speculative Markov Blanket Discovery for Optimal Feature Selection.
809-812
Electronic Edition (link) BibTeX
- Jin Soung Yoo, Shashi Shekhar, Mete Celik:
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results.
813-816
Electronic Edition (link) BibTeX
- Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles:
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees.
817-820
Electronic Edition (link) BibTeX
- Xiaofeng Zhang, William K. Cheung:
Visualizing Global Manifold Based on Distributed Local Data Abstractions.
821-824
Electronic Edition (link) BibTeX
- Yi Zhang, W. Nick Street:
Bagging with Adaptive Costs.
825-828
Electronic Edition (link) BibTeX
- Cui Zhu, Hiroyuki Kitagawa, Christos Faloutsos:
Example-Based Robust Outlier Detection in High Dimensional Datasets.
829-832
Electronic Edition (link) BibTeX
- Albrecht Zimmermann, Björn Bringmann:
CTC - Correlating Tree Patterns for Classification.
833-836
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:18:54 2009
by Michael Ley (ley@uni-trier.de)
