Automation vs. human intervention: Is there any room left for the analyst in the data mining process?

Meryem Sevinc, Lawrence Locker, John D. Murray

Research output: Contribution to book or proceedingChapterpeer-review

Abstract

In the contemporary context of knowledge discovery, the amount of information and the process itself has increased in complexity. Relevant to the present chapter is the increased reliance on automaticity in knowledge discovery. Although, there are positive benefits of automation, there is reason to believe that a process that emphasizes greater human participation may produce more meaningful results. Through a description of the human information processing system and its attributes, this chapter discusses why an analyst-centered approach to a knowledge discovery system is a desirable goal. We argue that a perspective based on cognitive psychology can serve as a useful guide in achieving a desirable synergy between automated knowledge discovery tools and the human analyst.

Original languageEnglish
Title of host publicationHandbook of Research on Knowledge-Intensive Organizations
PublisherIGI Global
Pages414-424
Number of pages11
ISBN (Print)9781605661766
DOIs
StatePublished - 2009

Scopus Subject Areas

  • General Business, Management and Accounting
  • General Social Sciences

Fingerprint

Dive into the research topics of 'Automation vs. human intervention: Is there any room left for the analyst in the data mining process?'. Together they form a unique fingerprint.

Cite this