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21-03-2011, 09:31 PM
Post: #1
E-MINE: A novel web mining approach
Sir/Madam,
I am Sampath studying B.E.(ISE) at VCET,Mangalore. I want seminar report and ppt on the topic "E-MINE: A novel web mining approach".
Please send those to my mail id "sampathputtur[at]gmail.com".




Thank you.

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07-04-2011, 04:37 PM
Post: #2
RE: E-MINE: A novel web mining approach

.pptx  E-MINING.pptx (Size: 1.63 MB / Downloads: 157)
E-MINING-A NOVEL WEB MINING APPROACH
DEFINITION

 It is a technique that mines relevant data regions from a web page.
THE PROPOSED TECHNIQUE
 E-Mine – An effective method to mine the data region from a web page automatically
 It enables the system to identify gaps that separate records, which helps to segment data records correctly.
 The visual information also contains information about the hierarchical structure of the tags.
 By observing a webpage, it can be analysed that
the relevant data region occupies the major central part of the Webpage.
SYSTEM OF THE e-Mine TECHNIQUE
HOW ALGORITHM WORKS?

 Determining the height and width of all bounding rectangles.
 Identification of the largest rectangle.
 Identification of the container within the largest rectangle.
 Identification of data region containing data records with in the container.
STEP 1
DETERMINING HEIGHT AND WIDTH OF ALL BOUNDING RECTANGLES

 Determine the dimensions of all the bounding rectangles in the web page.
 If not specified, the MSHTML parsing and rendering engine of Microsoft Internet Explorer 6.0 can be used.
STEP 2
IDENTIFICATION OF THE LARGEST RECTANGLE

 Based on the height and width of bounding rectangles obtained in the previous step, we determine the area of the bounding rectangles
 Among these rectangles determine the largest rectangle.
PROCEDURE FOR IDENTIFICATION OF LARGEST RECTANGLE
 Procedure getMaxRect
 Input: <body> of the HTML source
 for each child of <body> tag
 Begin
 Find the coordinates of the bounding rectangles for the child
 If the area of the bounding rectangle > area of maximum Rectangle
 then Maximum Rectangle = child
 Endif
 end
STEP 3
 Identification of the container with in the largest rectangle
 Once the largest rectangle is obtained, we determine the bounding rectangle having the largest area in the set.
 The reason for determining the largest rectangle within this set is that only the largest rectangle will contain data records.
 Procedure getContainer
 Input: The Largest Rectangle out of all Bounding Rectangles.
 List_of_Children=list of all the children tags associated with Maximum Rectangle.
 for each tag in List_of_Children
 begin
 if area of bounding rectangle of a tag > half the area of Maximum Rectangle
 then container = tag
 Endif
 End.
IRRELEVANT PORTION TO BE FILTERED
STEP 4

 Identification of data region containing data records with in the container
 Filter is used to remove the irrelevant data from a container
PROCEDURE FOR FILTER
 Input: The container obtained from the previous step.
 totalHeight=0
 for each child tag within container
 totalHeight+=height of the bounding rectangle of child
 averageHeight = totalHeight/no of children of container
 averageHeight = totalHeight/no of children of container
 for each child within container
 if height of child’s bounding rectangle < averageHeight
 then Discard child from container
 endif
 end for
 end for
ADVANTAGES
 Overcomes the disadvantages of the existing automated approaches. Eg: MDR Algorithm.
 It enables the system to identify gaps that separate records, which helps to segment data records correctly.
 The visual information also contains information about the hierarchical structure of the tags.
DISADVANTAGES
 It may extract large amount of unwanted data
 The extracted relevant data region from a web page may not be of users interest
CONCLUSION
 This is a new approach to extract structured data from web pages
 eMine is a pure visual structure oriented method that can correctly identify the data regions.
 eMine overcomes the drawbacks of existing methods and performs significantly better than existing methods.
14-09-2011, 12:38 AM
Post: #3
RE: E-MINE: A novel web mining approach
I think you mentioned wrong disadvantages because it only extracts center portion which contains only useful data but not unwanted data.

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03-02-2012, 10:24 AM
Post: #4
RE: E-MINE: A novel web mining approach
to get information about the topic WEB MINING full report ,ppt and related topic refer the link bellow

http://www.seminarprojects.com/Thread-we...nar-report

http://www.seminarprojects.com/Thread-web-mining

http://www.seminarprojects.com/Thread-web-mining?page=2

http://www.seminarprojects.com/Thread-web-mining?page=4

http://www.seminarprojects.com/Thread-e-...g-approach

http://www.seminarprojects.com/Thread-op...web-mining

http://www.seminarprojects.com/Thread-we...nalization

http://www.seminarprojects.com/Thread-web-mining--24452

http://www.seminarprojects.com/Thread-si...t-outliers

http://www.seminarprojects.com/Thread-we...?pid=65307

http://www.seminarprojects.com/Thread-fr...b-log-data
13-02-2012, 11:56 PM
Post: #5
RE: E-MINE: A novel web mining approach
send me this[font=Times New Roman][/font] ppt
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