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Filtering by: Committee Member Vichr, Roman GW Unit Computer Science

Bari,Nima-PhDDissertation

Description:

As we march through this millennium, clustering big data is a big deal for all data and computer scientists. We are living in an age that faces unprecedented growth of available large-scale data, both structured and unstructured. Data is being collected at exceptional rates from a broad range of...

Author:

Bari, Nima

Keyword:

Metalearning, Metaknowledge, Metadata, Data mining, Machine learning, and Information retrieval systems

GW Unit:

Computer Science

Degree:

Ph.D.

Advisor:

Berkovich, Simon Y

Committee Member(s):

Berkvich, Simon Y, Vichr, Roman, Cheng, Susan, and Rotenstreich, Shmuel

Resource Type:

Thesis or Dissertation