Petra Perner
Proceedings of the Fifth International Conference on Machine Learning and Data Mining in Pattern Recognition
MLDM, 2007.

@proceedings{MLDM-2007,
	address       = "Leipzig, Germany",
	editor        = "Petra Perner",
	isbn          = "978-3-540-73498-7",
	publisher     = "{Springer International Publishing}",
	series        = "{Lecture Notes in Computer Science}",
	title         = "{Proceedings of the Fifth International Conference on Machine Learning and Data Mining in Pattern Recognition}",
	volume        = 4571,
	year          = 2007,
}

Contents (67 items)

9 ×#classification
8 ×#mining
7 ×#clustering
7 ×#learning
7 ×#multi
6 ×#approach
5 ×#algorithm
5 ×#kernel
5 ×#using
4 ×#evaluation

MLDM-2007-Jain #clustering

Data Clustering: User’s Dilemma (AKJ), p. 1.

MLDM-2007-EkdahlK #classification #learning #on the

On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers (ME, TK), pp. 2–16.

MLDM-2007-HulsmannF #algorithm #comparison #multi #novel #optimisation #parametricity

Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods (MH, CMF), pp. 17–31.

MLDM-2007-TrundleNC #modelling #multi #performance

Multi-source Data Modelling: Integrating Related Data to Improve Model Performance (PRT, DN, QC), pp. 32–46.

MLDM-2007-MarroccoMT #comparison #empirical

An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules (CM, MM, FT), pp. 47–60.

MLDM-2007-LateckiLP #detection #kernel

Outlier Detection with Kernel Density Functions (LJL, AL, DP), pp. 61–75.

MLDM-2007-TanN #data mining #mining #privacy #probability #re-engineering

Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining (VYFT, SKN), pp. 76–90.

MLDM-2007-WangLYC #classification #data type #fuzzy #incremental #mining

An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams (TW, ZL, YY, HC), pp. 91–103.

MLDM-2007-SzepannekBW #classification #on the

On the Combination of Locally Optimal Pairwise Classifiers (GS, BB, CW), pp. 104–116.

MLDM-2007-CzarnowskiJ #approach #multi

An Agent-Based Approach to the Multiple-Objective Selection of Reference Vectors (IC, PJ), pp. 117–130.

MLDM-2007-LeeP #multi #on the #problem #reduction

On Applying Dimension Reduction for Multi-labeled Problems (ML, CHP), pp. 131–143.

MLDM-2007-ChengCJY #feature model

Nonlinear Feature Selection by Relevance Feature Vector Machine (HC, HC, GJ, KY), pp. 144–159.

MLDM-2007-CaoH #feature model

Affine Feature Extraction: A Generalization of the Fukunaga-Koontz Transformation (WC, RMH), pp. 160–173.

MLDM-2007-SaittaRS #bound #clustering

A Bounded Index for Cluster Validity (SS, BR, IFCS), pp. 174–187.

MLDM-2007-HuWW #clustering

Varying Density Spatial Clustering Based on a Hierarchical Tree (XH, DW, XW), pp. 188–202.

MLDM-2007-KyrgyzovKMC #clustering #kernel

Kernel MDL to Determine the Number of Clusters (IOK, OOK, HM, MC), pp. 203–217.

MLDM-2007-SakaiIKH #clustering

Critical Scale for Unsupervised Cluster Discovery (TS, AI, TK, SH), pp. 218–232.

MLDM-2007-GrimH #analysis #category theory #clustering

Minimum Information Loss Cluster Analysis for Categorical Data (JG, JH), pp. 233–247.

MLDM-2007-SuarezM #algorithm #clustering

A Clustering Algorithm Based on Generalized Stars (APS, JEMP), pp. 248–262.

MLDM-2007-ValinciusVBG #evolution

Evolving Committees of Support Vector Machines (DV, AV, MB, AG), pp. 263–275.

MLDM-2007-WuW #graph #kernel #parametricity

Choosing the Kernel Parameters for the Directed Acyclic Graph Support Vector Machines (KPW, SDW), pp. 276–285.

MLDM-2007-SunV #using

Data Selection Using SASH Trees for Support Vector Machines (CS, RV), pp. 286–295.

MLDM-2007-JiangI #learning

Dynamic Distance-Based Active Learning with SVM (JJ, HHSI), pp. 296–309.

MLDM-2007-VanderlooyMS #empirical #evaluation #learning

Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation (SV, LvdM, IGSK), pp. 310–323.

MLDM-2007-CeciABM #learning #relational

Transductive Learning from Relational Data (MC, AA, NB, DM), pp. 324–338.

MLDM-2007-WangXC #approach #classification #mining #novel

A Novel Rule Ordering Approach in Classification Association Rule Mining (YJW, QX, FC), pp. 339–348.

MLDM-2007-PalancarTCL #algorithm #distributed #memory management #mining #parallel

Distributed and Shared Memory Algorithm for Parallel Mining of Association Rules (JHP, OFT, JFC, RHL), pp. 349–363.

MLDM-2007-MendezCGRD #performance

Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes (JRM, BC, DGP, FFR, FD), pp. 364–378.

MLDM-2007-GellerPK #mining

Blog Mining for the Fortune 500 (JG, SP, SK), pp. 379–391.

MLDM-2007-LiuYWZ #rank

A Link-Based Rank of Postings in Newsgroup (HL, JY, JW, YZ), pp. 392–403.

MLDM-2007-SadoddinG #case study #comparative #data mining #detection #machine learning #mining

A Comparative Study of Unsupervised Machine Learning and Data Mining Techniques for Intrusion Detection (RS, AAG), pp. 404–418.

MLDM-2007-GeczyIAH #information management #interactive #intranet

Long Tail Attributes of Knowledge Worker Intranet Interactions (PG, NI, SA, KH), pp. 419–433.

MLDM-2007-MicarelliS #approach #detection

A Case-Based Approach to Anomaly Intrusion Detection (AM, GS), pp. 434–448.

MLDM-2007-AriuGP #markov #modelling #network

Sensing Attacks in Computers Networks with Hidden Markov Models (DA, GG, RP), pp. 449–463.

MLDM-2007-FullerK #data type #distributed #monitoring #named

FIDS: Monitoring Frequent Items over Distributed Data Streams (RF, MMK), pp. 464–478.

MLDM-2007-AoYHH #data type #mining

Mining Maximal Frequent Itemsets in Data Streams Based on FP-Tree (FA, YY, JH, KH), pp. 479–489.

MLDM-2007-ShidaraNK #classification #consistency #named

CCIC: Consistent Common Itemsets Classifier (YS, AN, MK), pp. 490–498.

MLDM-2007-FranceC #development #evaluation #metric #reduction

Development of an Agreement Metric Based Upon the RAND Index for the Evaluation of Dimensionality Reduction Techniques, with Applications to Mapping Customer Data (SLF, JDC), pp. 499–517.

MLDM-2007-AburtoW #hybrid #predict

A Sequential Hybrid Forecasting System for Demand Prediction (LA, RW), pp. 518–532.

MLDM-2007-HebertC #metric

A Unified View of Objective Interestingness Measures (CH, BC), pp. 533–547.

MLDM-2007-CandillierMB #collaboration #state of the art

Comparing State-of-the-Art Collaborative Filtering Systems (LC, FM, MB), pp. 548–562.

MLDM-2007-RiesenKB #graph

Reducing the Dimensionality of Vector Space Embeddings of Graphs (KR, VK, HB), pp. 563–573.

MLDM-2007-YuL #approach #classification #graph #named

PE-PUC: A Graph Based PU-Learning Approach for Text Classification (SY, CL), pp. 574–584.

MLDM-2007-HanKK #performance #sequence #using

Efficient Subsequence Matching Using the Longest Common Subsequence with a Dual Match Index (TSH, SKK, JK), pp. 585–600.

MLDM-2007-Holness #network

A Direct Measure for the Efficacy of Bayesian Network Structures Learned from Data (GH), pp. 601–615.

MLDM-2007-CuiL #sequence

A New Combined Fractal Scale Descriptor for Gait Sequence (LC, HL), pp. 616–627.

MLDM-2007-EkinciA #kernel #recognition #representation

Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA (ME, MA), pp. 628–642.

MLDM-2007-YuZWZ #3d #image #retrieval

A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram (ZY, SZ, HSW, JZ), pp. 643–652.

MLDM-2007-NgaiY

Fast-Maneuvering Target Seeking Based on Double-Action Q-Learning (DCKN, NHCY), pp. 653–666.

MLDM-2007-Morzy #mining #predict

Mining Frequent Trajectories of Moving Objects for Location Prediction (MM), pp. 667–680.

MLDM-2007-PracnerTRI #attribute grammar #categorisation #using

Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation (DP, NT, MR, MI), pp. 681–693.

MLDM-2007-Olvera-LopezTC #float #strict

Restricted Sequential Floating Search Applied to Object Selection (JAOL, JFMT, JACO), pp. 694–702.

MLDM-2007-ZagorisPK #algorithm #fuzzy #reduction #self #using

Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm (KZ, NP, IK), pp. 703–715.

MLDM-2007-GomezF #2d #algorithm #evolution #hybrid #image #learning

A Hybrid Algorithm Based on Evolution Strategies and Instance-Based Learning, Used in Two-Dimensional Fitting of Brightness Profiles in Galaxy Images (JCG, OF), pp. 716–726.

MLDM-2007-EkinciAG #kernel #multi #recognition

Gait Recognition by Applying Multiple Projections and Kernel PCA (ME, MA, EG), pp. 727–741.

MLDM-2007-ChristiansenD #approach #case study #evaluation #generative #machine learning #testing

A Machine Learning Approach to Test Data Generation: A Case Study in Evaluation of Gene Finders (HC, CMD), pp. 742–755.

MLDM-2007-Armengol

Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds (EA), pp. 756–769.

MLDM-2007-SilvaGF #identification

One Lead ECG Based Personal Identification with Feature Subspace Ensembles (HS, HG, ALNF), pp. 770–783.

MLDM-2007-MartinsSSPG #classification #image #using

Classification of Breast Masses in Mammogram Images Using Ripley’s K Function and Support Vector Machine (LdOM, ECdS, ACS, ACdP, MG), pp. 784–794.

MLDM-2007-TronciGR #design #multi

Selection of Experts for the Design of Multiple Biometric Systems (RT, GG, FR), pp. 795–809.

MLDM-2007-RaudysM #approach #multi

Multi-agent System Approach to React to Sudden Environmental Changes (SR, AM), pp. 810–823.

MLDM-2007-Kertesz-FarkasKP #classification #equivalence #learning

Equivalence Learning in Protein Classification (AKF, AK, SP), pp. 824–837.

MLDM-2007-CoenenLSW #classification #identification #statistics

Statistical Identification of Key Phrases for Text Classification (FC, PHL, RS, YJW), pp. 838–853.

MLDM-2007-WisniewskiMDG #documentation #probability

Probabilistic Model for Structured Document Mapping (GW, FM, LD, PG), pp. 854–867.

MLDM-2007-MozaffariFM #online #recognition

Application of Fractal Theory for On-Line and Off-Line Farsi Digit Recognition (SM, KF, VM), pp. 868–882.

MLDM-2007-Lehmann #hybrid #learning #ontology

Hybrid Learning of Ontology Classes (JL), pp. 883–898.

MLDM-2007-WuLLY #documentation #xml

Discovering Relations Among Entities from XML Documents (YW, QL, WL, HY), pp. 899–910.