Discovery Science 15th International Conference, DS 2012, Lyon, France, October 29-31, 2012, Proceedings

Discovery Science 15th International Conference, DS 2012, Lyon, France, October 29-31, 2012, Proceedings / edited by Jean-Gabriel Ganascia, Philippe Lenca, Jean-Marc Petit.

This book constitutes the refereed proceedings of the 15th International Conference on Discovery Science, DS 2012, held in Lyon, France, in October 2012. The 22 papers presented in this volume were carefully reviewed and selected from 46 submissions. The field of discovery science aims at inducing a...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ganascia, Jean-Gabriel (Editor), Lenca, Philippe (Editor), Petit, Jean-Marc (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Lecture Notes in Artificial Intelligence ; 7569
Springer eBook Collection.
Subjects:
Artificial intelligence.
Information storage and retrieval.
Application software.
Database management.
Data mining.
Algorithms.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Declarative Modeling for Machine Learning and Data Mining
  • Recent Developments in Pattern Mining
  • Exploring Sequential Data
  • Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers
  • Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting
  • Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning
  • Towards Finding Relational Redescriptions
  • Descriptive Modeling of Systemic Banking Crises
  • A Trim Distance between Positions in Nucleotide Sequences
  • Data Squashing for HSV Subimages by an Autonomous Mobile Robot
  • Cohesive Co-evolution Patterns in Dynamic Attributed Graphs
  • Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming
  • HCAC: Semi-supervised Hierarchical Clustering Using Confidence- Based Active Learning
  • LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity
  • Fast Approximation Algorithm for the 1-Median Problem
  • Online Co-regularized Algorithms
  • Fast Progressive Training of Mixture Models for Model Selection
  • Including Spatial Relations and Scales within Sequential Pattern Extraction
  • Predicting Ramp Events with a Stream-Based HMM Framework
  • Burst Detection in a Sequence of Tweets Based on Information Diffusion Model
  • Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction
  • An Assessment on Loan Performance from Combined Quantitative and Qualitative Data in XML
  • Structural Change Pattern Mining Based on Constrained Maximal k-Plex Search
  • Enhancing Patent Expertise through Automatic Matching with Scientific Papers
  • Soft Threshold Constraints for Pattern Mining.

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