Proceedings of the Fifth SIAM International Conference on Data Mining

Front Cover
Hillol Kargupta
SIAM, 2005 M04 1 - 648 pages
The Fifth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data. This conference results in data mining, including applications, algorithms, software, and systems.
 

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Contents

A Rondom Wolks Perspective on Moximizing Satisfaction and Profit
12
Surveying Doto for Patchy Structure
20
Chris Ding and Jieping
32
Mining Frequent itemsets from Data Streams with a TimeSensitive Sliding Window
68
PrivacyPreserving Classification of Customer Dato without Loss of Accuracy
92
A Fedsible Approach for Inverse
103
On Varioble Constraints in Privacy Preserving Dato Mining
115
Clustering with ModelLevel Constroints
126
Variotional Learning for NoisyOR Component Anolysis
370
A New Stotistic for the Structurdl Breck Defection in Time Series
392
Efficient Mining of Moximal Sequentiol Potterns Using Multiple Somples
415
Correlation Clustering for Leorning Mixtures of Cononical Correlotion Models
439
Mining loeberg Cubes from Doto Worehouses
461
Decision Tree Induction in High Dimensional Hierorchicolly Distributed Dotoboses
466
Sparse Fisher Discriminant Andlysis for Computer Aided Detection
476
Mcking Doto Mining Models Useful to Model Nonpoying Customers of Exchange Corriers
486

Fedsibility issues and the kMeans Algorithm
138
A Cutting Algorithm for the Minimum SumofSquared Error Clustering
150
Dynomic Clossification of Defect Structures in Molecular Dynomics Simulation Doto
161
Simultaneous Mining of Positive and Negotive Spotial
173
Finding Young Stellar Populations in Elliptical Galaxies from Independent Components
183
Hybrid Attribute Reduction for Classification Bosed on a Fuzzy Rough Set Technique
195
Contents
205
Lazy Learning for Classification Based on Query Projections
227
DepthFirst Nonderivable itemset Mining
250
A Spectral Clustering Approach to Finding Communities in Graphs
274
Learning to Refine Ontology for a New Web Site Using a Bayesian Approach
298
Exploiting Geometry for Support Vector Mochine Indexing
322
A Lodd Shedding Scheme for Classifying Doto Streams
346
Cluster Validity Anolysis of Alternotive Results from Multiobjective Optimization
496
A Cose Study on Face Recognition
511
On Clustering Bindry Doto
526
Pushing Fedture Selection Ahedd of Join
536
Discretizotion Using Successive Pseudo Deletion of Moximum Information Goin
546
The Best Nurturers in Computer Science Resedrch
566
Confents
571
NearNeighbor Search in Pattern Distance Spaces
586
On the Equivalence of Nonnegotive Motrix Foctorization and Spectral Clustering
606
Correcting Sampling Bios in Structural Genomics through iterative Selection
621
WFIM Weighted Frequent itemset Mining with a Weight Range and a Minimum weight
636
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