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Abstract Header
Data Mining Algorithms for Discovering Patterns in Text Collections
Author Info
Patchala, Jagadeesh
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1458299372
Abstract Details
Year and Degree
2016, PhD, University of Cincinnati, Engineering and Applied Science: Computer Science and Engineering.
Abstract
Discovering meta-information from collections of text documents is becoming an important research area due to increasing demands for automated analysis of large text collections. This analysis process usually involves first structuring the unstructured text data and then deriving useful patterns from this structured text data. This process involves concepts taken from multiple fields such as data mining, artificial intelligence, statistics, databases, and linguistics. There are several focus areas within this research domain, each pursuing somewhat different objectives. Some of these focus areas include: information retrieval, document clustering, document classification, web mining, information extraction, natural language processing, and concept extraction. In this dissertation we have developed several novel methodologies to discover information embedded in text document collections and have presented solutions to some specific pattern discovery tasks.
Committee
Raj Bhatnagar, Ph.D. (Committee Chair)
Nan Niu, Ph.D. (Committee Member)
Yizong Cheng, Ph.D. (Committee Member)
Anil Jegga, M.Res. (Committee Member)
Ali Minai, Ph.D. (Committee Member)
Marepalli Rao, Ph.D. (Committee Member)
Pages
115 p.
Subject Headings
Computer Science
Keywords
Authorship Analysis
;
Biclustering
;
3-clusters
;
Drug repurposing
;
Text mining
;
Data mining
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Citations
Patchala, J. (2016).
Data Mining Algorithms for Discovering Patterns in Text Collections
[Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1458299372
APA Style (7th edition)
Patchala, Jagadeesh.
Data Mining Algorithms for Discovering Patterns in Text Collections.
2016. University of Cincinnati, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1458299372.
MLA Style (8th edition)
Patchala, Jagadeesh. "Data Mining Algorithms for Discovering Patterns in Text Collections." Doctoral dissertation, University of Cincinnati, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1458299372
Chicago Manual of Style (17th edition)
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Document number:
ucin1458299372
Download Count:
495
Copyright Info
© 2016, some rights reserved.
Data Mining Algorithms for Discovering Patterns in Text Collections by Jagadeesh Patchala is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.