Paper Info
Title
Progressive and Interactive Analysis of Event Data Using Event Miner
Abstract
Exploring large data sets typically involves activities that iteratebetween data selection and data analysis, in which insights obtainedfrom analysis result in new data selection. Further, data analysis needs touse a combination of analysis techniques: data summarization, mining algorithmsand visualization. This interweaving of functions arises both fromthe semantics of what the analyst hopes to achieve and from scalability requirementsfor dealing with large data volumes. We refer to such a processas a progressive analysis. Herein is described a tool, Event Miner, that integratesdata selection, mining and visualization for progressive analysis oftemporal, categorical data. We discuss a data model and architecture. Weillustrate how our tool can be used for complex mining tasks such as findingpatterns not occurring on Monday. Further, we discuss the novel visualizationemployed, such as visualizing categorical data and the results of datamining. Also, we discuss the extension of the existing mining frameworkneeded to mine temporal events with multiple attributes. Throughout, weillustrate the capabilities of Event Miner by applying it to event data fromlarge computer networks.
Year
DOI
Venue
2002
10.1109/ICDM.2002.1184023
ICDM
Keywords
Field
DocType
large data volume,data analysis,large data,event data fromlarge computer,data summarization,event miner,new data selection,categorical data,data model,iteratebetween data selection,event data,interactive analysis,knowledge discovery,data visualisation,data visualization,information analysis,application software,data security,pattern analysis,data mining,data models,information security,scalability,computer network
Data warehouse,Data mining,Data modeling,Data visualization,Data stream mining,Data analysis,Information visualization,Data mapping,Computer science,Artificial intelligence,Data profiling,Machine learning
Conference
ISBN
Citations 
PageRank 
0-7695-1754-4
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Sheng Ma1113976.32
Joseph Hellerstein22136252.24
Chang-Shing Perng347835.92
Genady Grabarnik417814.76