Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/23912
Title: Intelligent classification techniques for effective analysis of multivariate heart datasets
Researcher: Nalini priya G
Guide(s): Kannan A
Keywords: Dataset
Information and communication engineering
Temporal data
Upload Date: 22-Aug-2014
University: Anna University
Completed Date: 01/11/2013
Abstract: newlineTemporal data analysis and representation of temporal knowledge are essential in recent medical diagnosis systems Temporal data mining techniques focus on the analysis of the past and present data for finding temporal patterns regularities and interdependencies in sets of temporal data This temporal data is essential for effective temporal reasoning in medical decision support systems For instance the classification algorithms are useful in the diagnosis of a disease using a multivariate medical data which were acquired from the hospital environment using different technologies This data may be the combination of different types The nature of this data is more complex Hence it is necessary to propose intelligent methods for the effective analysis medical data In this thesis an intelligent temporal mining based technique has been proposed for mining temporal patterns from clinical databases In order to perform effective temporal reasoning a new temporal query language called ETDMSQL has been proposed and implemented It provides special operators for instant comparison, interval comparison time slice operations and temporal mining operations The proposed query language is very useful newlineto retrieve special features for temporal reasoning newline newline
Pagination: xxii, 179p.
URI: http://hdl.handle.net/10603/23912
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File38.98 kBAdobe PDFView/Open
02_certificate.pdf923.21 kBAdobe PDFView/Open
03_abstract.pdf13.89 kBAdobe PDFView/Open
04_acknowledgement.pdf6.74 kBAdobe PDFView/Open
05_contents.pdf30.42 kBAdobe PDFView/Open
06_chapter1.pdf74.78 kBAdobe PDFView/Open
07_chapter2.pdf107.54 kBAdobe PDFView/Open
08_chapter3.pdf79.71 kBAdobe PDFView/Open
09_chapter4.pdf203.47 kBAdobe PDFView/Open
10_chapter5.pdf442.92 kBAdobe PDFView/Open
11_chapter6.pdf225.49 kBAdobe PDFView/Open
12_chapter7.pdf429.61 kBAdobe PDFView/Open
13_chapter8.pdf13.91 kBAdobe PDFView/Open
14_references.pdf55.27 kBAdobe PDFView/Open
15_publications.pdf6.51 kBAdobe PDFView/Open
16_vitae.pdf5.45 kBAdobe PDFView/Open


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