ICDM 2005 - PDF Preprint Papers

ICDM 2005 IEEE International Conference on Data Mining

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ICDM
2005
IEEE

302views Data Mining» more ICDM 2005»

Invited Talks

13 years 10 months ago

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Id	Views	Title	Status

1	302	Invited Talks	claim
2	299	Non-PC Reviewers	claim
3	272	Mining Patterns of Change in Remote Sensing Image Databases	claim
4	271	HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence	claim
5	254	Supervised Tensor Learning	claim
6	217	Improving Automatic Query Classification via Semi-Supervised Learning	claim
7	215	CLUGO: A Clustering Algorithm for Automated Functional Annotations Based on Gene Ontology	claim
8	203	Mining Frequent Spatio-Temporal Sequential Patterns	claim
9	199	CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection	claim
10	190	Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience	claim
11	190	Neighborhood Formation and Anomaly Detection in Bipartite Graphs	claim
12	189	Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering	claim
13	188	Hierarchy-Regularized Latent Semantic Indexing	claim
14	188	CLUMP: A Scalable and Robust Framework for Structure Discovery	claim
15	187	Parallel Algorithms for Distance-Based and Density-Based Outliers	claim
16	185	Semi-Supervised Mixture of Kernels via LPBoost Methods	claim
17	185	Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping	claim
18	179	Bagging with Adaptive Costs	claim
19	177	Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases	claim
20	177	Pruning Social Networks Using Structural Properties and Descriptive Attributes	claim
21	168	Usage-Based PageRank for Web Personalization	claim
22	168	A Scalable Collaborative Filtering Framework Based on Co-Clustering	claim
23	168	Discovering Frequent Arrangements of Temporal Intervals	claim
24	166	Sequential Pattern Mining in Multiple Streams	claim
25	166	An Algorithm for In-Core Frequent Itemset Mining on Streaming Data	claim
26	165	Orthogonal Neighborhood Preserving Projections	claim
27	165	Optimizing Constraint-Based Mining by Automatically Relaxing Constraints	claim
28	165	A Bernoulli Relational Model for Nonlinear Embedding	claim
29	163	Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning	claim
30	163	Efficient Text Classification by Weighted Proximal SVM	claim
31	162	Mining Patterns That Respond to Actions	claim
32	161	Making Logistic Regression a Core Data Mining Tool with TR-IRLS	claim
33	158	Higher-Order Web Link Analysis Using Multilinear Algebra	claim
34	157	Blocking Anonymity Threats Raised by Frequent Itemset Mining	claim
35	153	Privacy-Preserving Frequent Pattern Mining across Private Databases	claim
36	153	Speculative Markov Blanket Discovery for Optimal Feature Selection	claim
37	151	A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria	claim
38	150	Combining Multiple Clusterings by Soft Correspondence	claim
39	149	A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results	claim
40	148	Online Hierarchical Clustering in a Data Warehouse Environment	claim
41	148	A Graph-Ranking Algorithm for Geo-Referencing Documents	claim
42	148	Hot Item Mining and Summarization from Multiple Auction Web Sites	claim
43	147	Partial Elastic Matching of Time Series	claim
44	146	Merging Interface Schemas on the Deep Web via Clustering Aggregation	claim
45	146	On the Stationarity of Multivariate Time Series for Correlation-Based Data Analysis	claim
46	143	Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches	claim
47	143	A Computational Framework for Taxonomic Research: Diagnosing Body Shape within Fish Species Complexes	claim
48	143	An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation	claim
49	142	Shortest-Path Kernels on Graphs	claim
50	139	Stability of Feature Selection Algorithms	claim
51	139	Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation	claim
52	138	On Feature Selection through Clustering	claim
53	138	Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values	claim
54	137	Leveraging Relational Autocorrelation with Latent Group Models	claim
55	136	Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis	claim
56	135	Bit Reduction Support Vector Machine	claim
57	134	A Preference Model for Structured Supervised Learning Tasks	claim
58	133	Summarization - Compressing Data into an Informative Representation	claim
59	133	Parameter-Free Spatial Data Mining Using MDL	claim
60	133	Panel Session	claim
61	130	Obtaining Best Parameter Values for Accurate Classification	claim
62	129	Mining Chains of Relations	claim
63	128	Supervised Ordering - An Empirical Survey	claim
64	128	An Expected Utility Approach to Active Feature-Value Acquisition	claim
65	127	Visualizing Global Manifold Based on Distributed Local Data Abstractions	claim
66	126	Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems	claim
67	126	Text Representation: From Vector to Tensor	claim
68	125	A Thorough Experimental Study of Datasets for Frequent Itemsets	claim
69	125	Alternate Representation of Distance Matrices for Characterization of Protein Structure	claim
70	122	ViVo: Visual Vocabulary Construction for Mining Biomedical Images	claim
71	122	Finding Representative Set from Massive Data	claim
72	122	Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees	claim
73	118	A Heterogeneous Field Matching Method for Record Linkage	claim
74	117	On Learning Asymmetric Dissimilarity Measures	claim
75	116	Learning Functional Dependency Networks Based on Genetic Programming	claim
76	115	Spatial Clustering of Chimpanzee Locations for Neighborhood Identification	claim
77	109	Triple Jump Acceleration for the EM Algorithm	claim

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