Advances in data mining [electronic resource] : applications and theoretical aspects : 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings / Petra Perner (ed.)
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Full Text (via Springer) |
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| Other title: | ICDM 2012. |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2012.
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| Series: | Lecture notes in computer science ;
7377. LNCS sublibrary. Artificial intelligence. Lecture notes in computer science. Lecture notes in artificial intelligence. |
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Table of Contents:
- Application of Classification Algorithms on IDDM Rat Data / Rainer Schmidt, Heike Weiss and Georg Fuellen
- Research Themes in the Case-Based Reasoning in Health Sciences Core Literature / Isabelle Bichindaritz
- Research on Application of Data Mining Methods to Diagnosing Gastric Cancer / Arnis Kirshners, Serge Parshutin and Marcis Leja
- SOHAC: Efficient Storage of Tick Data That Supports Search and Analysis / Gabor I. Nagy and Krisztian Buza
- Electricity Consumption Time Series Profiling: A Data Mining Application in Energy Industry / Hongyan Liu, Zhiyuan Yao, Tomas Eklund and Barbro Back
- Wind Turbines Fault Diagnosis Using Ensemble Classifiers / Pedro Santos, Luisa F. Villa, Aníbal Reñones, Andrés Bustillo and Jesús Maudes
- Bus Bunching Detection by Mining Sequences of Headway Deviations / Luís Moreira-Matias, Carlos Ferreira, João Gama, João Mendes-Moreira and Jorge Freire de Sousa
- Detecting Abnormal Patterns in Call Graphs Based on the Aggregation of Relevant Vertex Measures / Ronnie Alves, Pedro Ferreira, Joel Ribeiro and Orlando Belo
- Real-Time Mass Flow Estimation in Circulating Fluidized Bed / Andriy Ivannikov, Mikko Jegoroff and Tommi Kärkkäinen
- Representation in Case-Based Reasoning Applied to Control Reconfiguration / Ons Lejri and Moncef Tagina
- The Influence of Input and Output Measurement Noise on Batch-End Quality Prediction with Partial Least Squares / Jef Vanlaer, Pieter Van den Kerkhof, Geert Gins and Jan F.M. Van Impe
- An Evolving Associative Classifier for Incomplete Database / Kaoru Shimada
- Improving Classifier Performance by Knowledge-Driven Data Preparation / Laura Welcker, Stephan Koch and Frank Dellmann
- CWFM: Closed Contingency Weighted Frequent Itemsets Mining / Eunkyoung Park, Younghee Kim, Ieejoon Kim, Jaeyeol Yoon and Jiyeon Lim, et al.
- Prognostic Modeling with High Dimensional and Censored Data / Leon Bobrowski and Tomasz Łukaszuk
- SHACUN: Semi-supervised Hierarchical Active Clustering Based on Ranking Constraints / Eya Ben Ahmed, Ahlem Nabli and Faïez Gargouri
- A Minimum Spanning Tree-Inspired Clustering-Based Outlier Detection Technique / Xiaochun Wang, Xia Li Wang and D. Mitch Wilkes
- ML-DS: A Novel Deterministic Sampling Algorithm for Association Rules Mining / Samir A. Mohamed Elsayed, Sanguthevar Rajasekaran and Reda A. Ammar
- Decision Rules Development Using Set of Generic Operations Approach / Wiesław Paja and Mariusz Wrzesień
- Redundant Dictionary Spaces as a General Concept for the Analysis of Non-vectorial Data / Sebastian Klenk, Jürgen Dippon, Andre Burkovski and Gunther Heidemann
- Human-Centered Text Mining: A New Software System / Jonas Poelmans, Paul Elzinga, Alexei A. Neznanov, Guido Dedene and Stijn Viaene, et al.
- Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research / Jonas Poelmans, Dmitry I. Ignatov, Stijn Viaene, Guido Dedene and Sergei O. Kuznetsov.