Hendrik Blockeel; Matthijs van Leeuwen; Veronica V Advances in Intelligent Data Analysis XIII 9783319125701

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Автор: Hendrik Blockeel; Matthijs van Leeuwen; Veronica V
Название: Advances in Intelligent Data Analysis XIII
ISBN: 9783319125701
Издательство: Springer
Классификация: ISBN-10: 3319125702
Обложка/Формат: Paperback
Страницы: 394
Вес: 0.58 кг.
Дата издания: 13.10.2014
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Размер: 234 x 156 x 22
Основная тема: Computer Science
Подзаголовок: 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 -- November 1, 2014. Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Malware Phylogenetics Based on the Multiview Graphical Lasso.- Modeling stationary data by a class of generalized Ornstein-Uhlenbeck processes: the Gaussian case.- An approach to controlling the runtime for search based modularization of sequential source code check-ins Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD.- From Sensor Readings to Predictions: on the Process of Developing Practical Soft Sensors.- Comparing Pre-Defined Software Engineering Metrics with Free-Text for the Prediction of Code Ripples.- ApiNATOMY: Towards Multiscale Views of Human Anatomy.- Granularity of co-Evolution Patterns in Dynamic Attributed Graphs.- Multi-user diverse recommendations through greedy vertex-angle maximization.- ERMiner: Sequential Rule Mining using Equivalence Classes.- Mining longitudinal epidemiological data to understand a reversible disorder.- The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction.- Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships.- Modeling daily profiles of solar global radiation using statistical and data mining techniques.- Model-based Time Series Classification.- Fast simultaneous clustering and feature selection for binary data.- Identifying Bilingual Segments for Translation Generation.- Instant Exceptional Model Mining using Weighted Controlled Pattern Sampling.- Resampling approaches to improve news importance prediction.- An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time.- Mining Representative Frequent Patterns in a Hierarchy of Contexts.- A Deep Interpretation of Classifier Chains.- A nonparametric mixture model for personalizing web search.- Widened KRIMP: Better Performance Through Diverse Parallelism.- Finding the Intrinsic Patterns in a Collection of Time Series.- A Spatio-Temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries.- Extracting Predictive Models from Marked-Up Free-Text Documents at The Royal Botanic Gardens, Kew, London.- Detecting Localised Anomalous Behaviour in a Computer Network.

Advances in Intelligent Data Analysis XIII, Hendrik Blockeel; Matthijs van Leeuwen; Veronica V