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Advances in Data Mining. Applications and Theoretical Aspects: 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings de 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, cartea 7377

Editat de Petra Perner
en Limba Engleză Paperback – 18 iul 2012
This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012.The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.
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Specificații

ISBN-13: 9783642314872
ISBN-10: 3642314872
Pagini: 301
Ilustrații: XI, 289 p. 97 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.48 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Textul de pe ultima copertă

This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.

Caracteristici

Up to date results Fast track conference proceedings State of the art research

Cuprins

Invited Talk.- Distances in Classification.- Data Mining in Medicine and Agriculture.- Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms.- Data Mining of Agricultural Yield Data: A Comparison of Regression Models.- Study of Principal Components on Classification of Problematic Wine Fermentations.- A Data Mining Method for Finding Hidden Relationship in Blood and Urine Examination Items for Health Check.- Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation.- Computer-Aided Diagnosis in Brain Computed Tomography Screening.- Knowledge Representation in Difficult Medical Diagnosis.- Data Mining in Marketing, Finance and Telecommunication.- Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System.- Visualizing the Competitive Structure of Online Auctions.- Credit Risk Handling in Telecommunication Sector.- Sales Intelligence Using Web Mining.- A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods.- Data Mining in Process Control, Industry and Society.- Screening Paper Runnability in a Web-Offset Pressroom by Data Mining.- Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques.- SO_MAD: SensOr Mining for Anomaly Detection in Railway Data.- Online Mass Flow Prediction in CFB Boilers.- Integrating Data Mining and Agent Based Modeling and Simulation.- Combining Multidimensional Scaling and Computational Intelligence for Industrial Monitoring.- A Case of Using Formal Concept Analysis in Combination with Emergent Self Organizing Maps for Detecting Domestic Violence.- Data Mining on Multimedia Data.- Ordinal Evaluation: A New Perspective onCountry Images.- Evaluation of Fusion for Similarity Searching in Online Handwritten Documents.- Self-training Strategies for Handwriting Word Recognition.- On a New Similarity Analysis in Frequency Domain for Mining Faces within a Complex Background.- Theoretical Aspects of Data Mining.- Clustering with Domain Value Dissimilarity for Categorical Data.- The Normalized Compression Distance as a Distance Measure in Entity Identification.- Attribute Constrained Rules for Partially Labeled Sequence Completion.- Mining Determining Sets for Partially Defined Functions.- On the Integration of Neural Classifiers through Similarity Analysis of Higher Order Features.- On Cellular Network Channels Data Mining and Decision Making through Ant Colony Optimization and Multi Agent Systems Strategies.- Responsible Data Releases.