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ORCID13. Industrial Conference on Data Mining 2013: New York, NY, USA
- Petra Perner:
Advances in Data Mining. Applications and Theoretical Aspects - 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013. Proceedings. Lecture Notes in Computer Science 7987, Springer 2013, ISBN 978-3-642-39735-6 - Heng Chen, Yi Jin, Yan Zhao, Yongjuan Zhang, Chengcai Chen, Jilin Sun, Shen Zhang:
Mining and Information Integration Practice for Chinese Bibliographic Database of Life Sciences. 1-10 - Angel Fernando Kuri Morales:
An Automated Search Space Reduction Methodology for Large Databases. 11-24 - Thomas Ludescher, Thomas Feilhauer, Anton Amann, Peter Brezany:
Towards a High Productivity Automatic Analysis Framework for Classification: An Initial Study. 25-39 - Geert Gins, Jef Vanlaer, Pieter Van den Kerkhof, Jan F. M. Van Impe:
Extending Statistical Models for Batch-End Quality Prediction to Batch Control. 40-54 - Robert Gwadera:
Pattern-Based Solution Risk Model for Strategic IT Outsourcing. 55-69 - Peng Yan, Wei Jin:
Mining Semantic Relationships between Concepts across Documents Incorporating Wikipedia Knowledge. 70-84 - Jaime Santos, Orlando Belo
:
Estimating Risk Management in Software Engineering Projects. 85-98 - Daniel Ribeiro, António Sanfins, Orlando Belo:
Wastewater Treatment Plant Performance Prediction with Support Vector Machines. 99-111 - Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin:
Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework. 112-126 - Serhat Güden, Umman Tugba Gursoy:
Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis. 127-136 - Clifford A. Tawiah, Victor S. Sheng:
A Study on Multi-label Classification. 137-150 - Le Thi Hoai An, Xuan Thanh Vo, Tao Pham Dinh:
Robust Feature Selection for SVMs under Uncertain Data. 151-165 - Emadoddin Livani, Raymond Nguyen, Jörg Denzinger, Günther Ruhe, Scott Banack:
A Hybrid Machine Learning Method and Its Application in Municipal Waste Prediction. 166-180 - Geeta Aggarwal, Neelima Gupta:
BiETopti-BiClustering Ensemble Using Optimization Techniques. 181-192 - Diren Bulut, Umman Tugba Gursoy, Kemal Kurtulus:
Multiple Buying Behavior as an Indicator of Brand Loyalty: An Association Rule Application. 193-204 - Alireza Ensan, Yevgen Biletskiy:
Matching Semi-structured Documents Using Similarity of Regions through Fuzzy Rule-Based System. 205-217 - John Akhilomen:
Data Mining Application for Cyber Credit-Card Fraud Detection System. 218-228 - Yanbo J. Wang, Gang Di, Junxuan Yu, Juan Lei, Frans Coenen:
Feature Representation for Customer Attrition Risk Prediction in Retail Banking. 229-238 - Kaoru Shimada, Takashi Hanioka:
An Evolutionary Method for Associative Local Distribution Rule Mining. 239-253 - Ana Isabel Aguilera, Alberto Rafael Subero, Ramón A. Mata-Toledo:
Application of Data Mining Techniques on EMG Registers of Hemiplegic Patients. 254-265 - Warwick Graco, Hari Koesmarno:
Configurations and Couplings: An Exploratory Study. 266-279
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