Discussion of the charter for the Data Mining Interest Group DMi - IG General considerations by G. Longo and M. Brescia Draft Charter with inputs from :

Source URL: dame.dsf.unina.it

Experiences and Lessons in Developing Machine Learning and Data Mining Software Chih-Jen Lin Department of Computer Science National Taiwan University

Source URL: www.csie.ntu.edu.tw

Combining Data Mining and Ontology Engineering to enrich Ontologies and Linked Data Mathieu d’Aquina, Gabriel Kronbergerb, and Mari Carmen Suárez-Figueroac a KMi, The Open University, Walton Hall, Milton Keynes, UK

Source URL: www.ke.tu-darmstadt.de

An Integrated Data Mining Approach to Real-time Clinical Monitoring and Deterioration Warning ∗ Yi Mao

Source URL: www.cse.wustl.edu

Information Theory based Validation for Point-cloud Segmentation aided by Tensor Voting Ming Liu, Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland ,

Source URL: www.ee.ust.hk

• Statistics
• Computational statistics
• Data mining
• Data analysis
• Cluster analysis
• Geostatistics
• Image segmentation
• K-means clustering
• Spectral clustering
• Determining the number of clusters in a data set
• Consensus clustering

Medical Data Mining for Early Deterioration Warning in General Hospital Wards Yi Mao1 , Yixin Chen2 , Gregory Hackmann2 , Minmin Chen2 , Chenyang Lu2 , Marin Kollef3 , and Thomas C.Bailey3 1 2

Source URL: www.cse.wustl.edu

Maximizing proteomic information from MS data: Enhancements to Protein Prospector, a suite of programs for mining genomic databases. Richard J Jacob, Peter R Baker, Lan Huang, Michael A Baldwin and A.L. Burlingame. Mass

Source URL: prospector.ucsf.edu

CIKM WORKSHOP REPORT Report on the Fourth Workshop on Location and the Web (LocWebDirk Ahlers1 , Erik Wilde2 , and Bruno Martins3 1

Source URL: sigir.org

• Formal sciences
• Data mining
• Information retrieval
• Location-based service
• Information science
• Knowledge
• Temporal information retrieval
• Humancomputer interaction
• Special Interest Group on Information Retrieval

Weighted SCAN for Modeling Cooperative Group Role Dynamics Anton Chertov, Ziad Kobti, and Scott D. Goodwin world scenarios. However, SCAN in its current form targets only unweighted graphs and we identify a serious limit

Source URL: game.itu.dk

• Graph theory
• Mathematics
• Network theory
• Algebraic graph theory
• Edsger W. Dijkstra
• Cluster analysis
• Data mining
• Graph
• Spectral clustering
• Modularity
• Pathfinding
• Split

Lecture 1 What is (Astronomical) Data Mining Giuseppe Longo University Federico II in Napoli – Italy Visiting faculty – California Institute of Technology

Source URL: dame.dsf.unina.it