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ORCID11. MLDM 2015: Hamburg, Germany
- Petra Perner
:
Machine Learning and Data Mining in Pattern Recognition - 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings. Lecture Notes in Computer Science 9166, Springer 2015, ISBN 978-3-319-21023-0
Graph Mining
- Kaspar Riesen, Miquel Ferrer, Rolf Dornberger, Horst Bunke:
Greedy Graph Edit Distance. 3-16 - Miquel Ferrer, Francesc Serratosa, Kaspar Riesen:
Learning Heuristics to Reduce the Overestimation of Bipartite Graph Edit Distance Approximation. 17-31 - Nimit Dhulekar, Srinivas Nambirajan, Basak Oztan, Bülent Yener:
Seizure Prediction by Graph Mining, Transfer Learning, and Transformation Learning. 32-52
Classification and Regression
- Søren Atmakuri Davidsen, E. Sreedevi, M. Padmavathamma:
Local and Global Genetic Fuzzy Pattern Classifiers. 55-69 - Chao Tan, Jihong Guan, Shuigeng Zhou:
IKLTSA: An Incremental Kernel LTSA Method. 70-83
Sentiment Analysis
- Gayane Shalunts, Gerhard Backfried:
SentiSAIL: Sentiment Analysis in English, German and Russian. 87-97 - Angelo Corallo, Laura Fortunato, Marco Matera, Marco Alessi, Alessio Camillò, Valentina Chetta, Enza Giangreco, Davide Storelli:
Sentiment Analysis for Government: An Optimized Approach. 98-112
Data Preparation and Missing Values
- Roni Ben Ishay, Maya Herman:
A Novel Algorithm for the Integration of the Imputation of Missing Values and Clustering. 115-129 - Chien D. C. Ta, Tuoi Phan Thi:
Improving the Algorithm for Mapping of OWL to Relational Database Schema. 130-139 - Tommi Kärkkäinen, Mirka Saarela:
Robust Principal Component Analysis of Data with Missing Values. 140-154
Association and Sequential Rule Mining
- Souleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, Vincent S. Tseng:
Efficient Mining of High-Utility Sequential Rules. 157-171 - Diana Benavides Prado:
MOGACAR: A Method for Filtering Interesting Classification Association Rules. 172-183
Support Vector Machines
- Wanderson S. Costa, Leila Maria Garcia Fonseca, Thales Sehn Körting:
Classifying Grasslands and Cultivated Pastures in the Brazilian Cerrado Using Support Vector Machines, Multilayer Perceptrons and Autoencoders. 187-198 - Aruna Govada, Pravin Joshi, Sahil Mittal, Sanjay Kumar Sahay:
Hybrid Approach for Inductive Semi Supervised Learning Using Label Propagation and Support Vector Machine. 199-213
Frequent Item Set Mining and Time Series Analysis
- Saber Salah, Reza Akbarinia, Florent Masseglia:
Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce. 217-231 - Reza Akbarinia, Florent Masseglia:
Aggregation-Aware Compression of Probabilistic Streaming Time Series. 232-247
Clustering
- Aalaa Mojahed, Joao H. Bettencourt-Silva, Wenjia Wang, Beatriz de la Iglesia:
Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF). 251-265 - Saullo Haniell Galvão de Oliveira, Rosana Veroneze, Fernando J. Von Zuben:
On Bicluster Aggregation and its Benefits for Enumerative Solutions. 266-280 - Kritsana Treechalong, Thanawin Rakthanmanon, Kitsana Waiyamai:
Semi-Supervised Stream Clustering Using Labeled Data Points. 281-295 - Paul K. Amalaman, Christoph F. Eick:
Avalanche: A Hierarchical, Divisive Clustering Algorithm. 296-310
Text Mining
- Jagadeesh Patchala, Raj Bhatnagar, Sridharan Gopalakrishnan:
Author Attribution of Email Messages Using Parse-Tree Features. 313-327 - D. Sejal, K. G. Shailesh, V. Tejaswi, Dinesh Anvekar, K. R. Venugopal, S. Sitharama Iyengar, Lalit M. Patnaik:
Query Click and Text Similarity Graph for Query Suggestions. 328-341 - Sudarshan Babu:
Offline Writer Identification in Tamil Using Bagged Classification Trees. 342-354
Applications of Data Mining
- Nada AlZahrani, Rasha Alsulim, Nourah Alaseem, Ghada Badr:
Data Analysis for Courses Registration. 357-367 - Darie Moldovan, Simona Mutu:
Learning the Relationship Between Corporate Governance and Company Performance Using Data Mining. 368-381 - Olga Krasotkina, Vadim Mottl:
A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization. 382-394 - Elizabeth P. Chou:
Data Driven Geometry for Learning. 395-402 - Mona Al-Saleem, Norah Al-Kathiry, Sara Al-Osimi, Ghada Badr:
Mining Educational Data to Predict Students' Academic Performance. 403-414 - Guilherme Alberto Sousa Ribeiro, Alexandre César Muniz de Oliveira, Antonio Luiz S. Ferreira, Shyam Visweswaran, Gregory F. Cooper:
Patient-Specific Modeling of Medical Data. 415-424 - Olga Krasotkina, Vadim Mottl:
A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis. 425-437
Data Mining in System Biology, Drug Discovery, and Medicine
- Petra Perner:
Automatic Cell Tracking and Kinetic Feature Description of Cell Paths for Image Mining. 441-451
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