Modelling Energy Consumption Profiles with Data Mining Methods based on Smart Meter Survey Data with Additional User Characteristics Christian Schwöbel, Uwe Rüppel TU Darmstadt, Germany

Source URL: egice2014.engineering.cf.ac.uk

• Energy
• Physical universe
• Electric power
• Nature
• Energy policy
• Energy efficiency
• Smart grid
• Cluster analysis
• Data mining
• Load profile
• Efficient energy use
• Hierarchical clustering

arXiv:1102.3887v1 [cs.IT] 18 FebActive Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities Brian Eriksson, Gautam Dasarathy, Aarti Singh, Robert Nowak∗

Source URL: nowak.ece.wisc.edu

Nonparametric Bayesian Co-clustering Ensembles Pu Wang∗ Kathryn B. Laskey† Carlotta Domeniconi∗

Source URL: cs.gmu.edu

CoCoSpot: Clustering and Recognizing Botnet Command and Control Channels using Traffic Analysis1 Christian J. Dietricha,c , Christian Rossowa,b , Norbert Pohlmanna a Institute for Internet Security, University of Applie

Source URL: blog.cj2s.de

Penta-Training: Clustering Ensembles with Bootstrapping of Constraints Carlotta Domeniconi1 and Muna Al-Razgan1 Abstract. In this paper we combine clustering ensembles and semisupervised clustering to address the ill-pos

Source URL: cs.gmu.edu

Agenda Clustering Algorithms and Evaluations II Evaluations of Clustering Results

Source URL: watanabe-www.math.dis.titech.ac.jp

Air Void Clustering Technical Summary Report Number: K-TRAN: KSU-13-6 ▪ Publication Date: June 2015

Source URL: ntl.bts.gov

Spatial models for virtual networks Jeannette Janssen Dalhousie University, Halifax, NS, B3H 3J5, Canada Abstract. This paper discusses the use of spatial graph models for the analysis of networks that do not have a dire

Source URL: www.mathstat.dal.ca

• Network theory
• Graph theory
• Networks
• Random graphs
• Network analysis
• Random geometric graph
• Scale-free network
• Evolving networks
• Degree distribution
• Clustering coefficient
• Topology
• Connectivity

Extremely Scalable Storage and Clustering of Malware Metadata Matthew Asquith About The Author Matthew Asquith graduated from the University of Sydney in 2006 with a Bachelor IT with first-class honours. Since then he ha

Source URL: www.eicar.org

Enhancing Single-Objective Projective Clustering Ensembles Francesco Gullo DEIS Dept. University of CalabriaRende (CS), Italy

Source URL: cs.gmu.edu