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Real-time Knowledge Discovery and Dissemination Panel Position. Dr. Bhavani Thuraisingham The University of Texas at Dallas [email protected] February 2008. What is Real-time?. Hard Real-time The transactions/queries/updates must meet strict timing constraints

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Real-time Knowledge Discovery and Dissemination

Panel Position

Dr. Bhavani Thuraisingham

The University of Texas at Dallas

[email protected]

February 2008

what is real time
What is Real-time?
  • Hard Real-time
    • The transactions/queries/updates must meet strict timing constraints
  • Soft Real-time
    • The goal is to have as many transactions/queries/updates to meet their timing constraints
  • Other concepts
    • Firm real-time. Near real-time, Fast
real time transaction query processing
Real-time Transaction/Query Processing
  • Transactions may be assigned priorities based on their deadline; e.g., transactions that have short deadline may have higher priorities
  • If two transactions compete for a resource then the higher priority transaction is given the resource
  • If a transaction T1 is of higher priority than transaction T2, and if T1 wants a resource that T2 has then T2 may be aborted and the resource is given to T1
  • Approximate query processing is a technique developed for handling queries that have to return results in real-time
  • Main memory data management is an approach for real-time data management
real time knowledge discovery rt kdd
Real-time Knowledge Discovery (RT-KDD)
  • How does a data mining technique meet the timing constraint?
    • E.g., if an association rule mining algorithm has a 5 minutes constraint, then should it output as many rules as possible within 5 minutes
    • How does this affect the accuracy of the results?
    • Will there be an increase in false positives and negatives?
  • Approximate data mining
    • Are there techniques analogous to techniques in approximate query processing
    • Are incomplete results better than no results
  • What are the applications for RT-KDD
    • Give the results to the war fighter in 5 minutes so that he can take appropriate actions
real time knowledge discovery concluded
Real-time Knowledge Discovery (Concluded)
  • Should we take each data mining techniques and develop a real-0time version of it
    • This is how research is proceedings in privacy preserving data mining
      • Privacy preserving association rule mining, Privacy preserving decision treed etc.
  • Is a real0time data warehouse needed for real-time data mining?
    • If so, how do we build a real-time data warehouse?
  • Can we do without a human in the loop?
    • If the war fighter needs answer within 5 minutes, then is there time for a human to analyze the results?
  • Does real-time knowledge discovery mean knowledge discover to be carried out during operational time instead of analytical processing?
directions
Directions
  • There is research now on steam knowledge discovery and active data management; this will contribute toward RT-KDD
  • We also need to start a research program on integrating real-time processing research with KDD research
  • When we started with privacy preserving data mining there were questions as to whether we can have privacy as well as useful data mining research; the community is now more accepting of this research. Thee are opportunities for RT-KDD
  • We need to focus on the types of applications that RT-KDD will be needed.
  • Focus more on software real-time approach than a hard real-time approach
  • Building models in real-time as well techniques meeting real-time constraints
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