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ORCID12. Industrial Conference on Data Mining 2012: Berlin, Germany
- Petra Perner
:
Advances in Data Mining. Applications and Theoretical Aspects - 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings. Lecture Notes in Computer Science 7377, Springer 2012, ISBN 978-3-642-31487-2
Data Mining in Medicine and Biology
- Rainer Schmidt, Heike Weiss, Georg Fuellen:
Application of Classification Algorithms on IDDM Rat Data. 1-8 - Isabelle Bichindaritz:
Research Themes in the Case-Based Reasoning in Health Sciences Core Literature. 9-23 - Arnis Kirshners, Serge Parshutin, Marcis Leja:
Research on Application of Data Mining Methods to Diagnosing Gastric Cancer. 24-37 - Gábor I. Nagy, Krisztián Búza:
SOHAC: Efficient Storage of Tick Data That Supports Search and Analysis. 38-51
Data Mining for Energy Industry
- Hongyan Liu, Zhiyuan Yao, Tomas Eklund, Barbro Back:
Electricity Consumption Time Series Profiling: A Data Mining Application in Energy Industry. 52-66 - Pedro Santos, Luisa F. Villa, Aníbal Reñones, Andrés Bustillo, Jesús Maudes:
Wind Turbines Fault Diagnosis Using Ensemble Classifiers. 67-76
Data Mining in Traffic and Logistic
- Luís Moreira-Matias, Carlos Ferreira, João Gama, João Mendes-Moreira, Jorge Freire de Sousa:
Bus Bunching Detection by Mining Sequences of Headway Deviations. 77-91
Data Mining in Telecommunication
- Ronnie Alves, Pedro Gabriel Ferreira, Joel Ribeiro, Orlando Belo:
Detecting Abnormal Patterns in Call Graphs Based on the Aggregation of Relevant Vertex Measures. 92-102
Data Mining in Engineering
- Andriy Ivannikov, Mikko Jegoroff, Tommi Kärkkäinen:
Real-Time Mass Flow Estimation in Circulating Fluidized Bed. 103-112 - Ons Lejri, Moncef Tagina:
Representation in Case-Based Reasoning Applied to Control Reconfiguration. 113-120 - Jef Vanlaer, Pieter Van den Kerkhof, Geert Gins, Jan F. M. Van Impe:
The Influence of Input and Output Measurement Noise on Batch-End Quality Prediction with Partial Least Squares. 121-135
Theory in Data Mining
- Kaoru Shimada:
An Evolving Associative Classifier for Incomplete Database. 136-150 - Laura Welcker, Stephan Koch, Frank Dellmann:
Improving Classifier Performance by Knowledge-Driven Data Preparation. 151-165 - Eunkyoung Park, Younghee Kim, Iee Joon Kim, Jae Yeol Yoon, Ji Yeon Lim, Ungmo Kim:
CWFM: Closed Contingency Weighted Frequent Itemsets Mining. 166-177 - Leon Bobrowski, Tomasz Lukaszuk:
Prognostic Modeling with High Dimensional and Censored Data. 178-193
Theory in Data Mining: Clustering
- Eya Ben Ahmed, Ahlem Nabli, Faïez Gargouri:
$\mathcal{SHACUN}$ : Semi-supervised Hierarchical Active Clustering Based on Ranking Constraints. 194-208 - Xiaochun Wang, Xiali Wang, D. Mitch Wilkes:
A Minimum Spanning Tree-Inspired Clustering-Based Outlier Detection Technique. 209-223
Theory in Data Mining: Association Rule Mining and Decision Rule Mining
- Samir A. Mohamed Elsayed, Sanguthevar Rajasekaran, Reda A. Ammar:
ML-DS: A Novel Deterministic Sampling Algorithm for Association Rules Mining. 224-235 - Wieslaw Paja, Mariusz Wrzesien:
Decision Rules Development Using Set of Generic Operations Approach. 236-242
Text Mining
- Sebastian Klenk, Jürgen Dippon, Andre Burkovski, Gunther Heidemann:
Redundant Dictionary Spaces as a General Concept for the Analysis of Non-vectorial Data. 243-257 - Jonas Poelmans, Paul Elzinga, Alexey Neznanov, Guido Dedene, Stijn Viaene, Sergei O. Kuznetsov:
Human-Centered Text Mining: A New Software System. 258-272 - Jonas Poelmans, Dmitry I. Ignatov, Stijn Viaene, Guido Dedene, Sergei O. Kuznetsov:
Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research. 273-287
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