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ORCID10. MLDM 2014: St. Petersburg, Russia
- Petra Perner:
Machine Learning and Data Mining in Pattern Recognition - 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014. Proceedings. Lecture Notes in Computer Science 8556, Springer 2014, ISBN 978-3-319-08978-2
Classification and Learning
- Eran Shaham, David Sarne, Boaz Ben-Moshe:
Efficient Error Setting for Subspace Miners. 1-15 - Shunkai Fu, Sein Minn, Michel C. Desmarais:
Towards the Efficient Recovery of General Multi-Dimensional Bayesian Network Classifier. 16-30 - Kitsana Waiyamai, Phoonperm Suwannarattaphoom:
A Cost-Sensitive Based Approach for Improving Associative Classification on Imbalanced Datasets. 31-42 - Oleg V. Senko, Alexander Dokukin:
Multiple Regression Method Based on Unexpandable and Irreducible Convex Combinations. 43-57 - Fatimah Binta Abdullahi
, Frans Coenen, Russell Martin:
A Novel Approach for Identifying Banded Patterns in Zero-One Data Using Column and Row Banding Scores. 58-72 - Dmitry Bugaychenko, Dmitry Zubarevich:
Fast Pattern Recognition and Deep Learning Using Multi-Rooted Binary Decision Diagrams. 73-77 - Kitsana Waiyamai, Thanapat Kangkachit, Bordin Saengthongloun, Thanawin Rakthanmanon:
ACCD: Associative Classification over Concept-Drifting Data Streams. 78-90 - Nachai Limsetto, Kitsana Waiyamai:
Integrating Weight with Ensemble to Handle Changes in Class Distribution. 91-106 - Lev V. Utkin, Yulia A. Zhuk, Anatoly I. Chekh:
A Robust One-Class Classification Model with Interval-Valued Data Based on Belief Functions and Minimax Strategy. 107-118 - Alexander P. Kuleshov, Alexander V. Bernstein:
Manifold Learning in Data Mining Tasks. 119-133
Clustering
- Marwan Hassani, Pascal Spaus, Thomas Seidl:
Adaptive Multiple-Resolution Stream Clustering. 134-148 - Maria Barouti, Daniel Keren, Jacob Kogan, Yaakov Malinovsky:
Monitoring Distributed Data Streams through Node Clustering. 149-162 - Orestes Manzanilla-Salazar, Jesús Espinal-Kohler, Ubaldo M. García-Palomares:
Minimizing Cluster Errors in LP-Based Nonlinear Classification. 163-174
Outlier Detection
- Vineet Joshi, Raj Bhatnagar:
CBOF: Cohesiveness-Based Outlier Factor A Novel Definition of Outlier-ness. 175-189 - Kliton Andrea, Georgy Shevlyakov, Natalia Vassilieva, Alexander Ulanov:
A New Measure of Outlier Detection Performance. 190-197
Hierarchical Classification
- Esra'a Alshdaifat, Frans Coenen, Keith Dures:
A Multi-path Strategy for Hierarchical Ensemble Classification. 198-212 - Thanawut Ananpiriyakul, Piyapan Poomsirivilai, Peerapon Vateekul:
Label Correction Strategy on Hierarchical Multi-Label Classification. 213-227
Time Series and Sequential Pattern Mining
- Patrick Schäfer:
Towards Time Series Classification without Human Preprocessing. 228-242 - Cuiqing Wang, Jing Lu, Malcolm Keech:
Applications of Concurrent Sequential Patterns in Protein Data Mining. 243-257 - Bin Yu, Les Smith, Mark Threefoot:
Semi-supervised Time Series Modeling for Real-Time Flux Domain Detection on Passive DNS Traffic. 258-271
Signal, Image, and Video Mining
- Abdulrahman Albarrak, Frans Coenen, Yalin Zheng:
Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration. 272-284 - Bernd Neumann, Lothar Hotz, Pascal Rost, Jos Lehmann:
A Robot Waiter Learning from Experiences. 285-299 - Aleksandr Larin, Oleg Seredin, Andrey Kopylov, Sy-Yen Kuo, Shih-Chia Huang, Bo-Hao Chen:
Parametric Representation of Objects in Color Space Using One-Class Classifiers. 300-314 - Anton Malenichev, Valentina Sulimova, Olga Krasotkina, Vadim Mottl, Anatoly Markov:
An Automatic Matching Procedure of Ultrasonic Railway Defectograms. 315-327 - Luca Piras, Giorgio Giacinto:
Open Issues on Codebook Generation in Image Classification Tasks. 328-342
Medical Data Mining
- Elina Maliarsky, Mireille Avigal, Maya Herman:
A Neuro-Genetic System for Cardiac Arrhythmia Classification. 343-360 - Andreia Silva, Cláudia Antunes:
Finding Multi-dimensional Patterns in Healthcare. 361-375
Social Media Mining
- Tuhin Sharma, Durga Toshniwal:
A Generalized Relationship Mining Method for Social Media Text Data. 376-392
Data Mining in Education
- Yogalakshmi Jayabal, Chandrashekar Ramanathan:
Clustering Students Based on Student's Performance - A Partial Least Squares Path Modeling (PLS-PM) Study. 393-407
Data Mining in Marketing
- Javier Sandoval, Germán Jairo Hernández:
Learning of Natural Trading Strategies on Foreign Exchange High-Frequency Market Data Using Dynamic Bayesian Networks. 408-421 - Alexandr Dzuba, Dmitry Bugaychenko:
Mining Users Playbacks History for Music Recommendations. 422-430
Text and Document Mining
- Indu Mati Anand, Anurag Wakhlu, Pranav Anand:
A Method of Crowd-Sourced Information Extraction From Large Data Files. 431-436 - Zhiwei Jiang, Xiaoqing Ding, Liangrui Peng, Changsong Liu:
Modified Bootstrap Approach with State Number Optimization for Hidden Markov Model Estimation in Small-Size Printed Arabic Text Line Recognition. 437-441 - Asmaa Mountassir, Houda Benbrahim, Ilham Berrada:
The Nearest Centroid Based on Vector Norms: A New Classification Algorithm for a New Document Representation Model. 442-456 - Ahmet Selman Bozkir, Ebru Akcapinar Sezer:
SimiLay: A Developing Web Page Layout Based Visual Similarity Search Engine. 457-470 - Marijn Schraagen, Walter A. Kosters:
Record Linkage Using Graph Consistency. 471-483
Neural Networks
- Sebastian Otte, Marcus Liwicki, Dirk Krechel:
Investigating Long Short-Term Memory Networks for Various Pattern Recognition Problems. 484-497
Applications in Geography
- Luca Mazzola, Pedro Chahuara, Aris Tsois, Mauro Pedone:
Resolution of Geographical String Name through Spatio-Temporal Information. 498-512
Software Engineering
- Jyotiska Nath Khasnabish, Mitali Sodhi, Jayati Deshmukh, G. Srinivasaraghavan:
Detecting Programming Language from Source Code Using Bayesian Learning Techniques. 513-522
Aspects of Data Mining
- Iqra Javed, Hammad Afzal:
Creation of Bi-lingual Social Network Dataset Using Classifiers. 523-533
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