Advances in Intelligent Data Analysis XIII 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 – November 1, 2014. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Blockeel, Hendrik (Επιμελητής έκδοσης), Leeuwen, Matthijs van (Επιμελητής έκδοσης), Vinciotti, Veronica (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Lecture Notes in Computer Science, 8819
• Θέματα: Computer science.; Algorithms.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Database Management.; Information Systems Applications (incl. Internet).; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; Algorithm Analysis and Problem Complexity.; Data Mining and Knowledge Discovery.

This book constitutes the refereed conference proceedings of the 13th International Conference on Intelligent Data Analysis, which was held in October/November 2014 in Leuven, Belgium. The 33 revised full papers together with 3 invited papers were carefully reviewed and selected from 70 submissions...

Πίνακας περιεχομένων:

• 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.