Net-Ray: Visualizing and Mining Billion-Scale Graphs

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Pacific-Asia Conference on Knowledge Discovery and Data Mining

• Publication date

  2014-05-13

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/978-3-319-06608-0_29
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• HEigen: Spectral Analysis for Billion-Scale Graphs

  2014cited by this paper
• A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data

  2012cited by this paper
• OPAvion: mining and visualization in large graphs

  2012cited by this paper
• Apolo: interactive large graph sensemaking by combining machine learning and visualization

  2011cited by this paper
• Mining large graphs: Algorithms, inference, and discoveries

  2011cited by this paper
• Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining

  2011cited by this paper
• oddball: Spotting Anomalies in Weighted Graphs

  2010cited by this paper
• Data Mining Concepts and Techniques

  2010cited by this paper
• PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations

  2009cited by this paper
• ZAME: Interactive Large-Scale Graph Visualization

  2008cited by this paper
• Extreme visualization: squeezing a billion records into a million pixels

  2008cited by this paper
• MapReduce: simplified data processing on large clusters

  2008cited by this paper
• Power laws, Pareto distributions and Zipf's law

  2005cited by this paper
• By chance is not enough: preserving relative density through nonuniform sampling

  2004cited by this paper
• Accessibility of Cities in the Digital Economy

  2004cited by this paper
• Fully automatic cross-associations

  2004cited by this paper
• LOCI: fast outlier detection using the local correlation integral

  2003cited by this paper
• Learning the k in k-means

  2003cited by this paper
• M: Cluster Analysis

  2001cited by this paper
• Algorithms for facility location problems with outliers

  2001cited by this paper
• LOF: identifying density-based local outliers

  2000cited by this paper
• K-Harmonic Means - A Spatial Clustering Algorithm with Boosting

  2000cited by this paper
• Efficient and Effective Clustering Methods for Spatial Data Mining

  1994cited by this paper
• Clustering to Minimize the Maximum Intercluster Distance

  1985cited by this paper
• A and V

  1962cited by this paper

• Graph Anomaly Detection via Diffusion Enhanced Multi-View Contrastive Learning

  2025cites this paper
• Approach to reduce the communication cost when partitioning a big graph

  2023cites this paper
• Anomaly Detection Module for Network Traffic Monitoring in Public Institutions

  2023cites this paper
• Anomaly detection in multidimensional time series—a graph-based approach

  2021cites this paper
• GAWD: graph anomaly detection in weighted directed graph databases

  2021cites this paper
• New Frontiers for Scan Statistics: Network, Trajectory, and Text Data

  2020cites this paper
• FlexGraph: Flexible partitioning and storage for scalable graph mining

  2020cites this paper
• Massively Parallel Graph Drawing and Representation Learning

  2020cites this paper
• PACC: Large scale connected component computation on Hadoop and Spark

  2020cites this paper
• Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection

  2019cites this paper
• Maverick: Discovering Exceptional Facts from Knowledge Graphs

  2018cites this paper
• Enumerating Trillion Subgraphs On Distributed Systems

  2018cites this paper
• DocGenealogy – Visualizing the doctoral advisors and mentors genealogic tree

  2018cites this paper
• Visualization of large graphs and adjacency matrices

  2018influential citation
• Proposal Visualizing and Interacting with Time-Evolving Graphs

  2017cites this paper
• EagleMine: Vision-Guided Mining in Large Graphs

  2017cites this paper
• ECOviz : Comparative Visualization of Time-Evolving Network Summaries

  2017influential citation
• PMV: Pre-partitioned Generalized Matrix-Vector Multiplication for Scalable Graph Mining

  2017cites this paper
• Individual and Collective Graph Mining: Principles, Algorithms, and Applications

  2017cites this paper
• MTP: discovering high quality partitions in real world graphs

  2016cites this paper
• PTE: Enumerating Trillion Triangles On Distributed Systems

  2016cites this paper
• MultiLayerMatrix: Visualizing Large Taxonomic Datasets

  2016cites this paper
• Graph Summarization Methods and Applications

  2016cites this paper
• Partition Aware Connected Component Computation in Distributed Systems

  2016cites this paper
• P ERSEUS 3 : Visualizing and Interactively Mining Large-Scale Graphs

  2016cites this paper
• A Novel Graph-Based Descriptor for the Detection of Billing-Related Anomalies in Cellular Mobile Networks

  2016cites this paper
• Novel graph analytics for enhancing data insight

  2015cites this paper
• A Principled Massive-Graph Similarity Function with Attribution

  2015cites this paper
• Block-based and structure-based techniques for large-scale graph processing and visualization

  2015cites this paper
• Discovering large subsets with high quality partitions in real world graphs

  2015cites this paper
• StructMatrix: Large-Scale Visualization of Graphs by Means of Structure Detection and Dense Matrices

  2015cites this paper
• TeGViz: Distributed Tera-Scale Graph Generation and Visualization

  2015cites this paper
• MapReduce Triangle Enumeration With Guarantees

  2014cites this paper
• Summarizing and understanding large graphs

  2014cites this paper
• Graph based anomaly detection and description: a survey

  2014cites this paper
• Leveraging memory mapping for fast and scalable graph computation on a PC

  2013cites this paper
• Future Generation Computer Systems

  year unknowncites this paper