Advances in Intelligent Data Analysis XIII by Veronica Vinciotti
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Advances in Intelligent Data Analysis XIII

Advances in Intelligent Data Analysis XIII


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About the Book

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.


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Product Details
  • ISBN-13: 9783319125701
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Depth: 19
  • Language: English
  • Returnable: Y
  • Spine Width: 22 mm
  • Volume: 13
  • Width: 156 mm
  • ISBN-10: 3319125702
  • Publisher Date: 13 Oct 2014
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 394
  • Series Title: Lecture Notes in Computer Science / Information Systems and Applications, Incl. Internet/Web, and HCI
  • Sub Title: 13th International Symposium Ida 2014 Leuven, Belgium October 30-november 1 2014 Proceedings
  • Weight: 630 gr


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