Grundbegriffe des Data Mining aufbereitet für eine Datenbank-Vorlesung Von Christian Ulrich

Source URL: www.in.th-nuernberg.de

How to deal with heterogeneous data? Mathieu Roche UMR TETIS (Cirad, Irstea, AgroParisTech) – France LIRMM (CNRS, University of Montpellier) – France

Source URL: ceur-ws.org

• Natural language processing
• Data mining
• Artificial intelligence
• Computational linguistics
• Data analysis
• Text mining
• Computing
• Language
• Information extraction
• Information retrieval
• Knowledge extraction

Improving Oceanographic Anomaly Detection Using High Performance Computing Thomas Huang, Ed Armstrong, George Chang, Toshio Chin, Brian Wilson, Tong (Tony) Lee, Victor Zlotnicki. Jorge Vazquez and Michelle Gierach Jet Pr

Source URL: sccoos.org

• Computing
• Data mining
• Anomaly detection
• Data security
• Data
• Cloud computing
• NetCDF
• Anomaly
• Data analysis

A Comparison of Techniques for Selecting and Combining Class Association Rules Jan-Nikolas Sulzmann and Johannes F¨ urnkranz Department of Computer Science, TU Darmstadt Hochschulstr. 10, DDarmstadt, Germany

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

• Data mining
• Association rule learning
• Data management
• Information science
• Information technology management
• Information
• Formal sciences
• Machine learning
• Statistical classification
• Confidence interval
• Sequential pattern mining
• Apriori algorithm

Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs David Eppstein∗ Abstract dynamic closest pair problem. It can be solved by brute force 2 We develop data structures for dynamic closest pair

Source URL: bioinfo.ict.ac.cn

• Mathematics
• Statistics
• Applied mathematics
• Data mining
• Search algorithms
• Approximation algorithms
• Discrete geometry
• Nearest neighbor search
• Numerical analysis
• Hierarchical clustering
• Cluster analysis
• K-means clustering

Mining Data that Changes 17 July 2015 Data is Not Static •

Source URL: people.mmci.uni-saarland.de

• Machine learning
• Data mining
• Mathematics
• Algorithms
• Streaming algorithm
• Dynamic problem
• Matrix
• Concept drift
• Learning
• Multivariate statistics
• Non-negative matrix factorization
• Applied mathematics

Microsoft Word - wch.V1.5.print.doc

Source URL: www.sogou.com

• Information science
• Data mining
• Information
• Natural language processing
• Statistical natural language processing
• Document clustering
• Cluster analysis
• Topic model
• Information retrieval
• UPGMA

LUDWIGMAXIMILIANSUNIVERSITY MUNICH DEPARTMENT INSTITUTE FOR INFORMATICS

Source URL: i.cs.hku.hk

• Algebra
• Mathematics
• Statistics
• Cluster analysis
• Data mining
• Geostatistics
• Correlation clustering
• Multivariate statistics
• Eigenvalues and eigenvectors
• Principal component analysis
• Clustering high-dimensional data

Chang-Tien Lu A. Education/Training Georgina Institute of Technology Computer Science University of Minnesota, Twin Cities Computer Science

Source URL: europa.nvc.cs.vt.edu

• Data mining
• Formal sciences
• Association for Computing Machinery
• Information science
• SIGKDD
• Information technology
• Computing
• Temporal information retrieval
• Vasant Honavar

Charu C. Aggarwal IBM T J Watson Research Center Yorktown, NYOutlier Ensembles

Source URL: www.outlier-analytics.org

• Statistics
• Information
• Data
• Data mining
• Robust statistics
• Outlier
• Statistical data
• Formal sciences
• Ensemble learning
• K-nearest neighbors algorithm
• Local outlier factor
• Anomaly detection