Recent trends of knowledge extraction and decision-making process using web mining
                     Research paper
RECENT TRENDS OF  
KNOWLEDGE EXTRACTION  
AND DECISION-MAKING  
PROCESS USING WEB 
MINING
Tags: TutorsIndia | Data Mining | Data Extraction | Detecting Noises | | Opinion Extraction
| Knowledge Synthesis | Web Structure Mining | Web Content Mining | Web Usage Mining
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0 Data information is classified in to two typesshallow web and deep web.
1 Data in the deep web are often inaccessible to the  
02 search engine and it can only accessed by 
website’s  interface while data in the shallow web 
Data Mining can be  accessed by the search engines.
03 In the data mining networks, there are three sorts of  mining: data mining, web mining and text 
mining.
Web mining lies in the middle of data mining and text 
04  mining, and adapts for the most part to semi-
structured  data and/or unstructured data.
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Web content mining is  Web mining supports  While extracting the data, huge 
performed by extracting machine learning since  data has been generated so  
 important information   it improves the  there is a need for interesting  
from the content of a  classification of text. techniques , algorithms and  
webpage/website. patterns for mining such data.
0 03 05
1
02 04
Web mining is a piece Web mining is integration of  
 of both information  information that is accumulated 
extraction and   by customary data mining  
information retrieval. systems with information  
assembled over World Wide.
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Web Mining
Web Structure Mining
The method toward discovering the structured 
 data from web is referred to as web 
01 structure  mining.
You will find the best assignments for future  
This mining may be performed either  
document level or hyperlink level. The  researchers enrolled in engineering and  
hyperlinks offer a clear route and purpose management. These topics are researched in-  02  to the pages. depth at the University of Glasgow, UK, Sun Yat-  
sen University, University of St Andrews and many 
 more.
This can be utilized to recover the 
 important data in form of  
03 structure.
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Web Content Mining
It's the method of retrieving information from web 
Web content mining information could be  into a more of structured forms and classifying  
 structured or unstructured/semi-  the data to retrieve quickly or finding valuable  
structured even web is unstructured. information from online page or web documents.
Web  
C ontent
Mining
Online page mining includes the online  
The search result mining contains online 
documents which contain text, HTML,  
 search results. It'd be structure  
multimedia documents, i.e., images, audio, video 
documents or unstructured documents.
 and sound etc.
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Web Usage Mining
Web usage mining is employed to find the usage patterns type from the  
usage data. This includes server data (IP address), Application server 
 (web logic), and Application level (events).
This can be otherwise a discovery of substantive patterns from data  
generated by client-server transactions on one or additional web localities. 
 The source of the data is access logs, referrer logs, agent logs, and  
client-side cookies.
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Web Challenges
Web usage mining essentially has numerous advantages This technology has enabled e-commerce to do  
 which make this technology attractive to corporations  personalized marketing, which eventually results in 
including the government agencies.  higher trade volume.
This technology is mostly criticized only for their  
privacy concern, and it is said that it is lost when  
an individual involving in the web usage obtained is 
 used.
In order to identify the future assignment topics, we have 
reviewed the
assignments
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(recent peer-reviewed topics) on both engineering and 
management.
Future Works
Web mining is often applied to perceive the  
2 behaviour of those services, and also the  data extracted are often helpful for numerous 
 kinds of optimizations.
In future usage of the data on the web grows 
1  rapidly, so research on the study is carried  out more on process mining, web mining,  
privacy and threat and fraud analysis.
It's necessary to try and do analysis of 
4  weblogs for web services performance  improvement.
3 The self-made application of web mining for  prophetical prefetching of pages by a  
browser has been demonstrated.
5 Analysis is required in developing web  mining techniques to boost numerous 
 different aspects of internet services.
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