Allan Tucker; Frank H?ppner; Arno Siebes; Stephen Advances in Intelligent Data Analysis XII 9783642413971

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Автор: Allan Tucker; Frank H?ppner; Arno Siebes; Stephen
Название: Advances in Intelligent Data Analysis XII
ISBN: 9783642413971
Издательство: Springer
Классификация: ISBN-10: 3642413978
Обложка/Формат: Paperback
Страницы: 464
Вес: 0.67 кг.
Дата издания: 17.09.2013
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Размер: 234 x 156 x 25
Основная тема: Computer Science
Подзаголовок: 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead.- Computational Techniques for Crop Disease Monitoring in the Developing World.- Subjective Interestingness in Exploratory Data Mining.- Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures.- Detecting Events in Molecular Dynamics Simulations.- Graph Clustering by Maximizing Statistical Association Measures.- Evaluation of Association Rule Quality Measures through Feature Extraction.- Towards Comprehensive Concept Description Based on Association Rules.- CD-MOA: Change Detection Framework for Massive Online Analysis.- Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks.- Finding Frequent Patterns in Parallel Point Processes.- Behavioral Clustering for Point Processes.- Estimating Prediction Certainty in Decision Trees.- Interactive Discovery of Interesting Subgroup Sets.- Gaussian Mixture Models for Time Series Modeling, Forecasting, and Interpolation.- When Does Active Learning Work.- Order Span: Mining Closed Partially Ordered Patterns.- Learning Multiple Temporal Matching for Time Series Classification.- On the Importance of Nonlinear Modeling in Computer Performance Prediction.- Diversity-Driven Widening.- Towards Indexing of Web3D Signing Avatars.- Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset.- Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks.- 1d-SAX: A Novel Symbolic Representation for Time Series.- Learning Models of Activities Involving Interacting Objects.- Correcting the Usage of the Hoeffding Inequality in Stream Mining.- Exploratory Data Analysis through the Inspection of the Probability Density Function of the Number of Neighbors.- The Modeling of Glaucoma Progression through the Use of Cellular Automata.- Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices.- Gaussian Topographic Co-clustering Model.- Preventing Churn in Telecommunications: The Forgotten Network.- Computational Properties of Fiction Writing and Collaborative Work.- Classifier Evaluation with Missing Negative Class Labels.- Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning.- Accurate Visual Features for Automatic Tag Correction in Videos.- Ontology Database System and Triggers.- A Policy Iteration Algorithm for Learning from Preference-Based Feedback.- Multiclass Learning from Multiple Uncertain Annotations.- Learning Compositional Hierarchies of a Sensorimotor System.

Advances in Intelligent Data Analysis XII, Allan Tucker; Frank H?ppner; Arno Siebes; Stephen