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ORCID8. MLDM 2012: Berlin, Germany
- Petra Perner:
Machine Learning and Data Mining in Pattern Recognition - 8th International Conference, MLDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings. Lecture Notes in Computer Science 7376, Springer 2012, ISBN 978-3-642-31536-7
Theory
- Pavel A. Turkov, Olga Krasotkina, Vadim Mottl:
Bayesian Approach to the Concept Drift in the Pattern Recognition Problems. 1-10 - Michelangelo Ceci
, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo:
Transductive Relational Classification in the Co-training Paradigm. 11-25 - Rong Yang, Zhenyuan Wang:
Generalized Nonlinear Classification Model Based on Cross-Oriented Choquet Integral. 26-39 - Hai Thanh Nguyen, Katrin Franke:
A General Lp-norm Support Vector Machine via Mixed 0-1 Programming. 40-49 - László Kovács:
Reduction of Distance Computations in Selection of Pivot Elements for Balanced GHT Structure. 50-62 - Dieter William Joenssen, Udo Bankhofer:
Hot Deck Methods for Imputing Missing Data - The Effects of Limiting Donor Usage. 63-75 - Saket Bharambe, Harshit Dubey, Vikram Pudi:
BINER - BINary Search Based Efficient Regression. 76-85 - Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis. 86-101 - Aixiang Li, Makoto Haraguchi, Yoshiaki Okubo:
Top-N Minimization Approach for Indicative Correlation Change Mining. 102-116
Theory: Evaluation of Models and Performance Evaluation Methods
- Rui Leite, Pavel Brazdil, Joaquin Vanschoren:
Selecting Classification Algorithms with Active Testing. 117-131 - Amit Thombre:
Comparing Logistic Regression, Neural Networks, C5.0 and M5′ Classification Techniques. 132-140 - Upendra Sapkota, Barrett R. Bryant, Alan P. Sprague:
Unsupervised Grammar Inference Using the Minimum Description Length Principle. 141-153 - Thais Mayumi Oshiro, Pedro Santoro Perez, José Augusto Baranauskas:
How Many Trees in a Random Forest? 154-168
Theory: Learning
- Tao Xu, David K. Y. Chiu, Iker Gondra:
Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy. 169-182 - Heni Bouhamed, Afif Masmoudi, Thierry Lecroq, Ahmed Rebai:
A New Learning Structure Heuristic of Bayesian Networks from Data. 183-197 - Nikolaos Pitelis, Anastasios Tefas:
Discriminant Subspace Learning Based on Support Vectors Machines. 198-212 - Nong Thi Hoa, The Duy Bui:
A New Learning Strategy of General BAMs. 213-221 - Godfried T. Toussaint, Constantin Berzan:
Proximity-Graph Instance-Based Learning, Support Vector Machines, and High Dimensionality: An Empirical Comparison. 222-236
Theory: Clustering
- Javid Ebrahimi, Mohammad Saniee Abadeh:
Semi Supervised Clustering: A Pareto Approach. 237-251 - Andreia Silva, Cláudia Antunes:
Semi-supervised Clustering: A Case Study. 252-263 - Charlie Isaksson, Margaret H. Dunham, Michael Hahsler:
SOStream: Self Organizing Density-Based Clustering over Data Stream. 264-278 - Minh Thuy Ta, Le Thi Hoai An, Lydia Boudjeloud-Assala:
Clustering Data Stream by a Sub-window Approach Using DCA. 279-292 - Mihai Vlase, Dan Munteanu, Adrian Istrate:
Improvement of K-means Clustering Using Patents Metadata. 293-305
WebMining
- Sahar Changuel, Nicolas Labroche:
Content Independent Metadata Production as a Machine Learning Problem. 306-320 - Jianfeng Si, Qing Li, Tieyun Qian, Xiaotie Deng:
Discovering K Web User Groups with Specific Aspect Interests. 321-335
Image Mining
- Mariusz Borawski, Dariusz Frejlichowski:
An Algorithm for the Automatic Estimation of Image Orientation. 336-344 - Guang Jiang, Xi Liu, Zhongzhi Shi:
Multi-label Image Annotation Based on Neighbor Pair Correlation Chain. 345-354 - Luca Piras, Giorgio Giacinto, Roberto Paredes:
Enhancing Image Retrieval by an Exploration-Exploitation Approach. 355-365 - M. Sulaiman Khan, Frans Coenen, Clare Dixon, Subhieh El-Salhi:
Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming. 366-379
Data Mining in Biometry and Security
- Emdad Hossain, Girija Chetty:
Combination of Physiological and Behavioral Biometric for Human Identification. 380-393 - Michael Glodek, Friedhelm Schwenker, Günther Palm:
Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition. 394-404 - Ewa Piatkowska, Jerzy Martyna:
Computer Recognition of Facial Expressions of Emotion. 405-414
Data Mining in Medicine
- Konstantinos Kalpakis, Shiming Yang, Peter Fu-Ming Hu, Colin F. Mackenzie, Lynn G. Stansbury, Deborah M. Stein, Thomas M. Scalea:
Outcome Prediction for Patients with Severe Traumatic Brain Injury Using Permutation Entropy Analysis of Electronic Vital Signs Data. 415-426 - Nasser Omer Sahel Ba-Karait, Siti Mariyam Shamsuddin, Rubita Sudirman:
EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization. 427-438
Data Mining in Environment and Water Quality Detection
- Henry Joutsijoki, Martti Juhola:
DAGSVM vs. DAGKNN: An Experimental Case Study with Benthic Macroinvertebrate Dataset. 439-453
Image Mining in Medicine
- Leonardo Barros Nascimento, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva:
Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM. 454-466 - Tomasz Staroszczyk, Stanislaw Osowski, Tomasz Markiewicz:
Comparative Analysis of Feature Selection Methods for Blood Cell Recognition in Leukemia. 467-481 - Péterson Moraes de Sousa Carvalho, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva:
Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh's Diversity Index and SVM. 482-494
Text Mining
- Matias Garcia-Constantino, Frans Coenen, Peter-J. Noble, Alan D. Radford, Christian Setzkorn:
A Semi-Automated Approach to Building Text Summarisation Classifiers. 495-509 - Davide Maiorca, Giorgio Giacinto, Igino Corona:
A Pattern Recognition System for Malicious PDF Files Detection. 510-524 - Luís Moreira-Matias, João Mendes-Moreira, João Gama, Pavel Brazdil:
Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix. 525-539 - Luepol Pipanmaekaporn, Yuefeng Li:
A Pattern Discovery Model for Effective Text Mining. 540-554 - Shashank Paliwal, Vikram Pudi:
Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering. 555-565
Data Mining in Network
- Lucrezia Macchia, Michelangelo Ceci, Donato Malerba:
Mining Ranking Models from Dynamic Network Data. 566-577 - Talieh Seyed Tabatabaei, Mostafa Adel, Fakhri Karray, Mohamed Kamel:
Machine Learning-Based Classification of Encrypted Internet Traffic. 578-592 - Iwan Syarif, Ed Zaluska, Adam Prügel-Bennett, Gary B. Wills:
Application of Bagging, Boosting and Stacking to Intrusion Detection. 593-602
Applications of Data Mining in Process Automation, Organisation Change Management, Telecommunication and Post Services
- Pawel Forczmanski, Dariusz Frejlichowski:
Classification of Elementary Stamp Shapes by Means of Reduced Point Distance Histogram Representation. 603-616 - Alberto Díez, Alberto Carrascal:
A Multiclassifier Approach for Drill Wear Prediction. 617-630 - Zhishu Wang, Jing Yang, Xin Lin:
Measuring the Dynamic Relatedness between Chinese Entities Orienting to News Corpus. 631-644 - Carlos Herrera-Yagüe, Pedro J. Zufiria:
Prediction of Telephone User Attributes Based on Network Neighborhood Information. 645-659
Data Mining in Biology
- Lavneet Singh, Girija Chetty, Dharmendra Sharma:
A Hybrid Approach to Increase the Performance of Protein Folding Recognition Using Support Vector Machines. 660-668
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