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EXTRACTING DATA FROM PUBLISHED GRAPHS

  • Type:Project
  • Pages:40
  • Format:Microsoft Word
(Computer Science Project Topics & Materials)


ABSTRACT
Published graphs in digital documents contain important information. Often, the results of scientific experiments and performance of businesses are summarized using plots. Although graphs are easily understood by human users, current search engines rarely utilize the information contained in the plots to enhance the results returned in response to queries posed by end users.
We propose an automated algorithm for extracting information from line curves in graphs. The extracted information can be stored in a database and indexed to answer end-user queries and enhance search results. We have collected graphs images from a variety of resources and tested our extraction algorithms. Experimental evaluation has demonstrated that our method can produce results suitable for real world use.


TABLE OF CONTENT
TITLE PAGE
CERTIFICATION
APPROVAL
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENT
CHAPTER ONE
1.0 INTRODUCTION
1.1 STATEMENT OF PROBLEM
1.2 PURPOSE OF STUDY
1.3 AIMS AND OBJECTIVES
1.4 SCOPE/DELIMITATIONS
1.5 LIMITATIONS/CONSTRAINTS
1.6 DEFINITION OF TERMS
CHAPTER TWO
2.0 LITERATURE REVIEW
CHAPTER THREE
3.0 METHODS FOR FACT FINDING AND DETAILED DISCUSSIONS OF THE SYSTEM
3.1 METHODOLOGIES FOR FACT-FINDING 
3.2 DISCUSSIONS
CHAPTER FOUR
4.0 FUTURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM 
4.1 FUTURES 
4.2 IMPLICATIONS
4.3 CHALLENGES
CHAPTER FIVE
5.0 RECOMMENDATIONS, SUMMARY AND CONCLUSION
5.1 RECOMMENDATION
5.2 SUMMARY
5.3 CONCLUSION
5.4 REFERENCES

EXTRACTING DATA FROM PUBLISHED GRAPHS

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Details

Type Project
Department Computer Science
Project ID CPU1528
Price ₦3,000 ($9)
No of Pages 40 Pages
Format Microsoft Word

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    Details

    Type Project
    Department Computer Science
    Project ID CPU1528
    Price ₦3,000 ($9)
    No of Pages 40 Pages
    Format Microsoft Word

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