| Description |
1 online resource (xiii, 670 pages) : illustrations |
| Series |
Lecture notes in computer science, 1611-3349 ; 7376. Lecture notes in artificial intelligence |
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LNCS sublibrary. SL 7, Artificial intelligence |
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Lecture notes in computer science ; 7376. 1611-3349
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Lecture notes in computer science. Lecture notes in artificial intelligence
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LNCS sublibrary. SL 7, Artificial intelligence.
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| Contents |
Bayesian Approach to the Concept Drift in the Pattern Recognition Problems / Pavel Turkov, Olga Krasotkina and Vadim Mottl -- Transductive Relational Classification in the Co-training Paradigm / Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba and Eric Paquet, et al. -- Generalized Nonlinear Classification Model Based on Cross-Oriented Choquet Integral / Rong Yang and Zhenyuan Wang -- A General Lp-norm Support Vector Machine via Mixed 0-1 Programming / Hai Thanh Nguyen and Katrin Franke -- Reduction of Distance Computations in Selection of Pivot Elements for Balanced GHT Structure / László Kovács -- Hot Deck Methods for Imputing Missing Data: The Effects of Limiting Donor Usage / Dieter William Joenssen and Udo Bankhofer -- BINER: BINary Search Based Efficient Regression / Saket Bharambe, Harshit Dubey and Vikram Pudi -- A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis / Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandhopadyay -- Top-N Minimization Approach for Indicative Correlation Change Mining / Aixiang Li, Makoto Haraguchi and Yoshiaki Okubo -- Selecting Classification Algorithms with Active Testing / Rui Leite, Pavel Brazdil and Joaquin Vanschoren -- Comparing Logistic Regression, Neural Networks, C5.0 and M5' Classification Techniques / Amit Thombre -- Unsupervised Grammar Inference Using the Minimum Description Length Principle / Upendra Sapkota, Barrett R. Bryant and Alan Sprague -- How Many Trees in a Random Forest? / Thais Mayumi Oshiro, Pedro Santoro Perez and José Augusto Baranauskas -- Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy / Tao Xu, David Chiu and Iker Gondra |
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A New Learning Structure Heuristic of Bayesian Networks from Data / Heni Bouhamed, Afif Masmoudi, Thierry Lecroq and Ahmed Rebaï -- Discriminant Subspace Learning Based on Support Vectors Machines / Nikolaos Pitelis and Anastasios Tefas -- A New Learning Strategy of General BAMs / Nong Thi Hoa and Bui The Duy -- Proximity-Graph Instance-Based Learning, Support Vector Machines, and High Dimensionality: An Empirical Comparison / Godfried T. Toussaint and Constantin Berzan -- Semi Supervised Clustering: A Pareto Approach / Javid Ebrahimi and Mohammad Saniee Abadeh -- Semi-supervised Clustering: A Case Study / Andreia Silva and Cláudia Antunes -- SOStream: Self Organizing Density-Based Clustering over Data Stream / Charlie Isaksson, Margaret H. Dunham and Michael Hahsler -- Clustering Data Stream by a Sub-window Approach Using DCA / Minh Thuy Ta, Hoai An Le Thi and Lydia Boudjeloud-Assala -- Improvement of K-means Clustering Using Patents Metadata / Mihai Vlase, Dan Munteanu and Adrian Istrate -- Content Independent Metadata Production as a Machine Learning Problem / Sahar Changuel and Nicolas Labroche -- Discovering K Web User Groups with Specific Aspect Interests / Jianfeng Si, Qing Li, Tieyun Qian and Xiaotie Deng -- An Algorithm for the Automatic Estimation of Image Orientation / Mariusz Borawski and Dariusz Frejlichowski -- Multi-label Image Annotation Based on Neighbor Pair Correlation Chain / Guang Jiang, Xi Liu and Zhongzhi Shi -- Enhancing Image Retrieval by an Exploration-Exploitation Approach / Luca Piras, Giorgio Giacinto and Roberto Paredes -- Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming / M. Sulaiman Khan, Frans Coenen, Clare Dixon and Subhieh El-Salhi |
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Combination of Physiological and Behavioral Biometric for Human Identification / Emdad Hossain and Girija Chetty -- Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition / Michael Glodek, Friedhelm Schwenker and Günther Palm -- Computer Recognition of Facial Expressions of Emotion / Ewa Piątkowska and Jerzy Martyna -- Outcome Prediction for Patients with Severe Traumatic Brain Injury Using Permutation Entropy Analysis of Electronic Vital Signs Data / Konstantinos Kalpakis, Shiming Yang, Peter F. Hu, Colin F. Mackenzie and Lynn G. Stansbury, et al. -- EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization / Nasser Omer Ba-Karait, Siti Mariyam Shamsuddin and Rubita Sudirman -- DAGSVM vs. DAGKNN: An Experimental Case Study with Benthic Macroinvertebrate Dataset / Henry Joutsijoki and Martti Juhola -- Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM / Leonardo Barros Nascimento, Anselmo Cardoso de Paiva and Aristófanes Corrêa Silva -- Comparative Analysis of Feature Selection Methods for Blood Cell Recognition in Leukemia / Tomasz Staroszczyk, Stanislaw Osowski and Tomasz Markiewicz -- Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh's Diversity Index and SVM / Péterson Moraes de Sousa Carvalho, Anselmo Cardoso de Paiva and Aristófanes Corrêa Silva -- A Semi-Automated Approach to Building Text Summarisation Classifiers / Matias Garcia-Constantino, Frans Coenen, P. -J. Noble, Alan Radford and Christian Setzkorn -- A Pattern Recognition System for Malicious PDF Files Detection / Davide Maiorca, Giorgio Giacinto and Igino Corona |
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Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix / Luís Moreira-Matias, João Mendes-Moreira, João Gama and Pavel Brazdil -- A Pattern Discovery Model for Effective Text Mining / Luepol Pipanmaekaporn and Yuefeng Li -- Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering / Shashank Paliwal and Vikram Pudi -- Mining Ranking Models from Dynamic Network Data / Lucrezia Macchia, Michelangelo Ceci and Donato Malerba -- Machine Learning-Based Classification of Encrypted Internet Traffic / Talieh Seyed Tabatabaei, Mostafa Adel, Fakhri Karray and Mohamed Kamel -- Application of Bagging, Boosting and Stacking to Intrusion Detection / Iwan Syarif, Ed Zaluska, Adam Prugel-Bennett and Gary Wills -- Classification of Elementary Stamp Shapes by Means of Reduced Point Distance Histogram Representation / Paweł Forczmański and Dariusz Frejlichowski -- A Multiclassifier Approach for Drill Wear Prediction / Alberto Diez and Alberto Carrascal -- Measuring the Dynamic Relatedness between Chinese Entities Orienting to News Corpus / Zhishu Wang, Jing Yang and Xin Lin -- Prediction of Telephone User Attributes Based on Network Neighborhood Information / Carlos Herrera-Yagüe and Pedro J. Zufiria -- A Hybrid Approach to Increase the Performance of Protein Folding Recognition Using Support Vector Machines / Lavneet Singh, Girija Chetty and Dharmendra Sharma |
| Summary |
This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining |
| Analysis |
Computer science |
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Database management |
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Data mining |
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Artificial intelligence |
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Computer vision |
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Optical pattern recognition |
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Mathematical Logic and Formal Languages |
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Image Processing and Computer Vision |
| Notes |
International conference proceedings |
| Bibliography |
Includes bibliographical references and author index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed August 9, 2012) |
| Subject |
Pattern perception -- Congresses
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Machine learning -- Congresses
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Data mining -- Congresses
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Computer vision -- Congresses
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Informatique.
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Computer vision
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Data mining
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Machine learning
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Pattern perception
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Perner, Petra.
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| ISBN |
9783642315374 |
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3642315372 |
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