Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/184828
Title: Data Analysis using Independent Component Analysis
Researcher: Udayan Ghose
Guide(s): Yogesh Singh and C.S. Rai
University: Guru Gobind Singh Indraprastha University
Completed Date: 2011
Abstract: In this work, a large data set has been considered for computational modeling using Independent Component Analysis (ICA) and data mining techniques. A technique using negentropy maximization has been proposed for Blind Source Separation (BSS). It has been successfully used for separating the image and audio signals. Simulations have been done to describe a technique for measuring information gain from large data sets using entropy analysis and information theoretic measures. Due to the increasing requirements in the commercial sectors, the efficient data mining and knowledge discovery techniques bear a very important role. The feature extraction task is done to select most of the important information that represents the original data. The neural techniques make it possible to extract the optimal and important features for future processing and decision-making. Statistical techniques such as Principal Component Analysis (PCA) and ICA may be used to analyze high dimensional data. Optimizing the objective functions like mutual information, joint entropy, negentropy, kurtosis etc can derive the iterative algorithms for ICA. We have proposed a new approach for ICA based on information theory for processing large data sets. The technique has been implemented to extract features from multidimensional databases. The approach is based entirely on measured entropies of the system and minimization of mutual information. It has been observed that the proposed technique yields the learning rule for fixed non-linearity. newline... newline
Pagination: 
URI: http://hdl.handle.net/10603/184828
Appears in Departments:University School of Information and Communication Technology

Files in This Item:
File Description SizeFormat 
01 tilte certificate publication ack abst.pdfAttached File1.2 MBAdobe PDFView/Open
02 contents.pdf793.52 kBAdobe PDFView/Open
03 chapter 1.pdf6.44 MBAdobe PDFView/Open
04 chapter 2.pdf4.34 MBAdobe PDFView/Open
05 chapter 3.pdf3.37 MBAdobe PDFView/Open
06 chapter 4.pdf3.05 MBAdobe PDFView/Open
07 chapter 5.pdf2.95 MBAdobe PDFView/Open
08 chapter 6.pdf415.85 kBAdobe PDFView/Open
09 bibliography.pdf3.77 MBAdobe PDFView/Open
10 biodata.pdf107.7 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: