Recent Trends of Knowledge Extraction and Decision-Making Process Using Web Mining- TutorsIndia.com

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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 Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster

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TutorsIndia Lab @ TutorsIndia.Com Engineering & Technology (E&T) Lab at TutorsIndia is involved in exploring novel research areas by conducting dynamic research. It promotes innovation in all fields of engineering by advancing the technology with structured and continuous research. The problems and challenges faced by the existing technologies and trends are explored by our researchers exists in scholarly literature, in theory, or in practices that needs deliberate investigation. These problems are identified and fixed by our researchers by suggesting better novel alternatives with appropriate tools, technologies and approaches, thereby proving their effectiveness in real time applications.

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01 Data Mining

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Data information is classified in to two types shallow web and deep web.

Data in the deep web are often inaccessible to the search engine and it can only accessed by website’s interface while data in the shallow web can be accessed by the search engines.

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In the data mining networks, there are three sorts of mining: data mining, web mining and text mining.

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Web mining lies in the middle of data mining and text mining, and adapts for the most part to semi-structured data and/or unstructured data.

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Web Mining

Web content mining is performed by extracting important information from the content of a webpage/website.

Web mining supports machine learning since it improves the classification of text.

While extracting the data, huge data has been generated so there is a need for interesting techniques , algorithms and patterns for mining such data.

03

01 02 Web mining is a piece of both information extraction and information retrieval.

05 04 Web mining is integration of information that is accumulated by customary data mining systems with information assembled over World Wide.

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Web Structure Mining 01

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The method toward discovering the structured data from web is referred to as web structure mining.

This mining may be performed either document level or hyperlink level. The hyperlinks offer a clear route and purpose to the pages.

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This can be utilized to recover the important data in form of structure.

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Web Content Mining Web content mining information could be structured or unstructured/semistructured even web is unstructured.

The search result mining contains online search results. It'd be structure documents or unstructured documents.

It's the method of retrieving information from web into a more of structured forms and classifying the data to retrieve quickly or finding valuable information from online page or web documents.

Web Content Mining

Online page mining includes the online documents which contain text, HTML, multimedia documents, i.e., images, audio, video 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 which make this technology attractive to corporations including the government agencies.

This technology has enabled e-commerce to do personalized marketing, which eventually results in 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 (recent peer-reviewed topics) on both engineering and management.

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Future Works

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In future usage of the data on the web grows rapidly, so research on the study is carried out more on process mining, web mining, privacy and threat and fraud analysis.

Web mining is often applied to perceive the behaviour of those services, and also the data extracted are often helpful for numerous kinds of optimizations.

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It's necessary to try and do analysis of weblogs for web services performance improvement.

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Analysis is required in developing web mining techniques to boost numerous different aspects of internet services.

The self-made application of web mining for prophetical prefetching of pages by a browser has been demonstrated.

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