Challenging research issues in data mining, databases and information retrieval

  • Authors:
  • Aparna S. Varde

  • Affiliations:
  • Montclair State University, Montclair, NJ

  • Venue:
  • ACM SIGKDD Explorations Newsletter
  • Year:
  • 2009

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Abstract

Data mining research along with related fields such as databases and information retrieval poses challenging problems, especially for doctoral students. The research spreads over a variety of topics such as text mining, semantic web, multilingual information analysis, heterogeneous data management, database learning, digital libraries and more. Much of this research cuts across multiple fields and presents interesting issues for discussion at conferences with a confluence of several tracks. The ACM Conference on Information and Knowledge Management provides an excellent environment for presenting such research problems spanning the three tracks of database systems, information retrieval and knowledge management. This article provides an overview of the dissertation problems presented at a Ph.D. workshop in the ACM Conference on Information and Knowledge Management. The goal of such workshops is to allow students to showcase their creative ideas at an early stage. This enables experts to critique their work and also gives the students an opportunity to exchange their thoughts with each other, besides providing excellent networking opportunities with industry and academia. This article provides an overview of the papers presented at the Ph.D workshop. It serves as a motivation for researchers to delve deeper into the innovative dissertation problems summarized here and the related work in these areas.