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You searched for +publisher:"Anna University" +contributor:("Chandran K R"). Showing records 1 – 3 of 3 total matches.

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Anna University

1. Ramamurthy B. Certain approaches on content based medical image retrieval CBMIR using visual features;.

Degree: Certain approaches on content based medical image retrieval CBMIR using visual features, 2015, Anna University

Diagnostic radiology demands accurate interpretation of complex signals in medical images Content based medical image retrieval CBMIR techniques are valuable to radiologists in assessing medical images by identifying similar images in large archives that could assist with decision support In general a Content Based Image Retrieval CBIR system is an extension of the traditional text based informational retrieval system However, the techniques and approaches used in CBIR have diverged from traditional text based retrieval systems and CBIR has now grown into separate research discipline in its own right Syntactically the text is one dimensional while an image is two dimensional Most of the text based information retrieval IR systems such as Yahoo Lycos and Google have achieved great success for indexing and querying web sites In contrast effective and precise content based image retrieval based on low level features such as texture and shape is still remains to be an open problem because of the extreme difficulty in image understanding newlineFor the last two decades content based image retrieval has been a vital area of research An enormous publication in this period reflects diversity among the proposed solutions Mostly CBIR has been proved successful in non medical domains among which some with relevance to medical domain have been taken for literature review in this work Radiology images pose different challenges compared to images in the consumer newline newline

reference p161-177.

Advisors/Committee Members: Chandran K R.

Subjects/Keywords: Content based medical image retrieval; Information retrieval; Yahoo Lycos and Google

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

B, R. (2015). Certain approaches on content based medical image retrieval CBMIR using visual features;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/41999

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

B, Ramamurthy. “Certain approaches on content based medical image retrieval CBMIR using visual features;.” 2015. Thesis, Anna University. Accessed February 19, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/41999.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

B, Ramamurthy. “Certain approaches on content based medical image retrieval CBMIR using visual features;.” 2015. Web. 19 Feb 2020.

Vancouver:

B R. Certain approaches on content based medical image retrieval CBMIR using visual features;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Feb 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/41999.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

B R. Certain approaches on content based medical image retrieval CBMIR using visual features;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/41999

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Syed ibrahim S P. Certain investigations on eager and Lazy learning associative classification;.

Degree: Certain investigations on eager and Lazy learning associative classification, 2014, Anna University

newlineCombining different problem solving methods is a very active research area newlinein data mining Associative classification is a recent and rewarding technique in newlinedata mining that applies the methodology of association rule mining into newlineclassification and achieves higher classification accuracy It is a known fact that newlineassociative classification typically yields a large number of rules If all the newlinegenerated class association rules are used in the classifier then accuracy of the newlineclassifier may be high but the classification process will be slow and timeconsuming newlineHence generating high quality class association rules and constructing newlinethe accurate classifier are indeed a challenging task newline

reference p141-147.

Advisors/Committee Members: Chandran K R.

Subjects/Keywords: Associative classification

Page 1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

P, S. i. S. (2014). Certain investigations on eager and Lazy learning associative classification;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26421

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

P, Syed ibrahim S. “Certain investigations on eager and Lazy learning associative classification;.” 2014. Thesis, Anna University. Accessed February 19, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/26421.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

P, Syed ibrahim S. “Certain investigations on eager and Lazy learning associative classification;.” 2014. Web. 19 Feb 2020.

Vancouver:

P SiS. Certain investigations on eager and Lazy learning associative classification;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Feb 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26421.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

P SiS. Certain investigations on eager and Lazy learning associative classification;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26421

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

3. Koppula srinivas rao. Mining frequent movement path Sequences from RFID data streams;.

Degree: Mining frequent movement path Sequences from RFID data streams, 2015, Anna University

Understanding the customer s requirements and purchasing newlinebehaviour is becoming more and more important in retail as it may provide newlinevaluable information that can be used to improve customer s shopping newlineexperience and product sales Knowing about customers activities within the newlinestore can provide information for improving customer relationship newlinemanagement and including real time capabilities This research work presents newlinea scheme for mining frequent movement path sequences using shopping path newlinetracking and analysis system that uses RFID The collected data is used for newlinedetermining customer presence and movement through a store as well as time newlinespent in specific store segments newlineRetrieving frequent walking patterns of the customers among newlinedifferent locations in the large retail outlet reveals the most visited spots and newlinemovements of the customer This helps in identifying the purchase behaviour newlineof the customers Data mining techniques are used to discover all frequent newlinewalking patterns efficiently from cleaned RFID database The existing newlineapproaches are expensive in terms of time and memory usage The research newlinestudy proposed AFP Tree and ECIM Efficient Closed Item set Mining newlinealgorithms to discover the frequent walking patterns from RFID database newline newline

reference p160-167.

Advisors/Committee Members: Chandran K R.

Subjects/Keywords: Retrieving frequent walking patterns

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

rao, K. s. (2015). Mining frequent movement path Sequences from RFID data streams;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/33704

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

rao, Koppula srinivas. “Mining frequent movement path Sequences from RFID data streams;.” 2015. Thesis, Anna University. Accessed February 19, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/33704.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

rao, Koppula srinivas. “Mining frequent movement path Sequences from RFID data streams;.” 2015. Web. 19 Feb 2020.

Vancouver:

rao Ks. Mining frequent movement path Sequences from RFID data streams;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Feb 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33704.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

rao Ks. Mining frequent movement path Sequences from RFID data streams;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33704

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.