Proceedings of the Fourth SIAM International Conference on Data Mining

Front Cover
Michael W. Berry
SIAM, 2004 M01 1 - 537 pages
The Fourth 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. This is reflected in the talks by the four keynote speakers who discuss data usability issues in systems for data mining in science and engineering, issues raised by new technologies that generate biological data, ways to find complex structured patterns in linked data, and advances in Bayesian inference techniques. This proceedings includes 61 research papers.
 

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Contents

A New Model for Clustering Lineor Sequences
23
Nonlinedr Monifold Leorning for Doto Stream
33
39 Visuolizing RFM Segmentotion
39
Text Mining from Site Invoriont ond Dependent Fedtures for Information Extraction
45
Contents
49
Constructing Time Decompositions for Andlyzing Time Stomped Documents
57
Equivalence of Severol TwoStage Methods for Linedr Discriminont Andlysis
69
A Fromework for Discovering Colocation Potterns in Doto Sets with Extended Spotid
78
Clustering Cotegoricol Doto Using the CorrelatedForce Ensemble
269
A Mobile ond Distributed Doto Streom Mining System for RedTime Vehicle
300
Active SemiSupervision for Poirwise Constroined Clustering
333
A Generol Probobilistic Fromework for Mining Lobeled Ordered Trees
357
A Mixture Model for Clustering Ensembles
379
Visually Mining through Cluster Hierorchies
400
ClossSpecific Ensembles for Active Leorning in Digital Imogery
412
Mining Text for Word Senses Using Independent Component Andlysis
422

Using Support Vector Mochines for Clossifying Lorge Sets of MultiRepresented Objects
102
Minimum SumSqudred Residue CoClustering of Gene Expression Doto
114
Troining Support Vector Mochine Using Adoptive Clustering
126
REP++ A Foster Rule Leorning Algorithm
138
A Single Poss Generolized Incrementol Algorithm for Clustering
147
A Distributed Tool for Constructing Summories of HighDimensional Discrete
154
Bosic ASSociotion Rules
166
Hierorchicol Clustering for Themotic Browsing ond Summorizotion of Lorge Sets
178
An Abstract Weighting Fromework for Clustering Algorithms
200
Lineor Regression ond Clossificotion
222
DensityConnected SubSpoce Clustering for HighDimensiond Doto
246
BAMBOO Acceleroting Closed itemset Mining by Deeply Pushing the LengthDecredsing
432
A Recursive Model for Groph Mining
442
Text Mining Using Nonnegotive Matrix Foctorizotions
452
The Aspect Bernoulli Model
462
FD Iterotive Fedture ond Doto Clustering
472
A Foundationol Approach to Mining itemset Utilities from Dotoboses
482
ReservoirBosed Rondom Sompling with Replacement from Doto Stream
492
Clossifying Documents without Lobels
502
Subspace Clustering of High Dimensional Doto
517
Mining Potters of Activity from Video Doto
532

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