Web Mining Using Machine Learning: A Survey

4483 Words9 Pages
bulb-icon

Recommended: Impact of the internet on education

Abstract: Due with the exponential growth of information on the web, web is becoming the primary source of information for everyone. As the numbers of user increasing, organizations are making their data available on the web on daily basis. Web contains structured and unstructured information that can provide meaning full insight into the web data. Due to the sheer volume and dynamic nature of web data manual extraction of knowledge is an uphill task therefore an automatic information extraction techniques with good accuracy are needed to utilize the full potential of the web as information resource and organizing and describing the web content is essential. Machine Learning approaches can efficiently be used to extract knowledge from the web data according the user requirements and interests automatically. The objective of this paper is to review the literature and provide a critical evaluation of how to improve information retrieval, extract knowledge from web contents, functionality and implementation of the proposed work. The paper focuses on the limitations of the existing IE implementation methods, evaluation techniques, models, their practices and provides overall summary

Keywords: Web mining, Information Extraction, Information Retrieval

I. INTRODUCTION

A

t present the number of web pages on the World Wide Web is increasing significantly and the web is becoming the primary source of information for everyone. The web is a popular and interactive medium to disseminate information to day [1]. There is an exponential increase of information available on the World Wide Web [10]. Currently web containing indexed 23.18* billion of web pages, with the huge amount of information available online, the World Wide Web is ...

... middle of paper ...

... “Using information filtering in web data mining”, IEEE 2007 (pp. 163-2169).

[8] L. Ma, N. Goharian, A. Chowdhury, ( 2003 , “ Extracting Unstrauctured Data from Template generated Web documents”, CIKM 2003 (pp. 163-2169).

[9] M. Tsukada, T. Washio, H. Motada, “ Automatic Web-Page Classification by using Machine learning Methods”

[10] I.Mahadevan, S. Karuppasamy, R. Ramasamy, “ Resource optimization in automatic web page classification using integrated feature selection and machine learnining”

[11] Andrej, Maria, (2005) , “Improving Adaptation in Web-Based Educational Hypermedia by means of Knowledge Discovery”,

HT,05 September6-9 ,2005

[12] M. Ester , H. Kriegel, M. Schubert, (2002), “ Web Site Mining : A new way to spot Competitors, Customers and Suppliers in the World Wide Web” ,

SIGKDD 02 2002 (pp. 249-257).

Show More
Related

  • Green Bay Packers History

    785 Words  | 2 Pages

    a.k.a. a.k Web. The Web. The Web. 16 Apr. Foner, Eric, and John A. Garraty.

    Read More

  • User Interface

    2026 Words  | 5 Pages

    Information Retrieval (IR) is to represent, retrieve from storage and organise the information. The information should be easily access. User will be more interested with easy access information. Information retrieval process is the skills of searching for documents, for information within documents and for metadata about documents, as well as that of searching relational databases and the World Wide Web. According to (Shing Ping Tucker, 2008), E-commerce is rapidly a growing segment in the internet.

    Read More

  • Describe the Causes and Discuss the Effects of the Cuban Revolution.

    973 Words  | 2 Pages

    World Book Advanced -. Web. The Web. The Web.

    Read More

  • Why the Digital Divide Will Continue

    2583 Words  | 6 Pages

    The World Wide Web is full of information that can improve and enrich our lives. In order to benefit from all of this information it must exhibit some type of relevance to our everyday lives and one must also be able to read and interpret this information so that it is useful to us.

    Read More

  • Essay On Page Rank Algorithm

    1605 Words  | 4 Pages

    This chapter discusses Page Rank Algorithm essential ideas and analyzes its computational formula and then mentions some problems related to the algorithm. With the rapid development of world –wide web, the users face the problem of retrieving useful information from the large number of disordered and scattered information. However, current search engines cannot fully satisfy the user’s need of high-quality information search services but the most classic web structure mining algorithm is Page Rank Algorithm. The Page Rank algorithm is based on the concepts that if a page contains important links towards it then the links of this page towards the other page are also to be considered as important pages. Page Rank algorithm calculates the importance of web pages using the link structure of the web pages. This approach explores the idea of simply counting in-links equally, by normalizing the number of links on a page when distributing rank scores. Therefore, Page Rank (i.e. a numeric value that represents how important a page is on the web) takes the back links into account and propagates the ranking through links: a page has a high rank if the sum of the ranks of its back links (in links) is high. It (Page Rank Algorithm) is one of the methods that Google (famous search engine) uses to determine the importance or relevance of a web page.

    Read More

  • Rankbrain Analysis

    835 Words  | 2 Pages

    It's a well known fact that humans have the ability to effeciently recognize patterns. Some people who work for Google, have highlighted the fact that backliinks, keywords, title tags and meta descritpoions are greate factors which can be utulied to sort and rank websites. However, the concept of recognizing such patterns on a massive scope is something that humans cannot easily do. Machines on the other hand, are extremly effeeint at gathering data. However, unlike humans they cannot recognize patterns as easily in terms of how certain patterns fit into the overal big picture as well as to understand what that pictures mean.

    Read More

  • Human Genetic Engineering

    984 Words  | 2 Pages

    middle of paper ... ... Web. The Web. The Web. 04

    Read More

  • Privacy and Security Issues in Data Mining

    1885 Words  | 4 Pages

    There is a debate between the benefits and potential informational privacy issues in web-data mining. There are large amount of valuable data on the web, and those data can be retrieved easily by using search engine. When web-data mining techniques are applied on these data, we can get a large number of benefits. Web-data mining techniques are appealing to business companies for several reasons [1]. For example, if a company wants to expand its bu...

    Read More

  • Feminist Political Ideology

    1237 Words  | 3 Pages

    Ed. Edward N. Zalta, Ph.D. Winter 2011 Edition ed. Web. The Web. The Web.

    Read More

  • Adaptive Learning Essay

    1494 Words  | 3 Pages

    Due to the development of ICT, adaptive learning, which takes into account individual learners’ needs, is changing. Learners’ learning styles are one of the most significant characteristics. They can be categorized according to a number of criteria which are based on cognitive and emotional components of personality. Their combination leads to the countless individual variants of real learning methods which – to a certain degree – can be influenced by the current e-learning resources. When the e-learning resources can react to the learners’ input characteristics or their learning results, they become adaptive e-learning systems (AES) or intelligent AES.

    Read More

  • Public Opinion Extraction

    2033 Words  | 5 Pages

    OSVision Opinion Mining [6] is an automatic system which can extract opinions from the Web. The system uses advanced natural language processing algorithms for extracting opinion, the system is supported by machine learning approaches and knowledge representations which enabled to apply it.

    Read More

  • How Do Search Engines Work?

    1463 Words  | 3 Pages

    Since the publication of the World Wide Web in 1991 people have been using search engines to obtain their information (Berners-Lee). These sources of information have greatly evolved over the past two decades and are continuing to become more efficient. Even though most any person with a computer uses a search engine, many do not know how it works. For starters, there are two main types of web searches: crawler based and human powered.

    Read More

  • Web Caching Advantages And Disadvantages

    1773 Words  | 4 Pages

    The World Wide Web can be considered as a system with huge distributed information which provides access to shared data objects. In recent past years there have been exponential growth in size of WWW, which causes network congestion. There are discrete natures World Wide Web documents with the help of which everyone can find information according to their liking. But, this huge rate of growth has put a heavy load on the Internet communication channels

    Read More

  • search engines

    664 Words  | 2 Pages

    Internet commerce is one of the fastest growing industries today. With the wide range of capabilities the web has it make it easier and cost efficient for businesses to make transactions with other businesses. One factor that allows businesses to find each other is search engines. Search engines are part of the reason the web is growing so rapidly.

    Read More

  • Online Education as an Effective Educational Method

    1425 Words  | 3 Pages

    With the advent of modern technology, a forceful impact of this technology has been observed in nearly all walks of modern day life. With the increasing access to these facilities, the lives of modern-day human beings have changed so dramatically that in many cases a reversal towards the old ways of life seems apparently impossible. Similar is the case with the process of education. In general the concept of e-learning has modified learning modes and behaviors to a much greater extent. It has...

    Read More

More about Web Mining Using Machine Learning: A Survey

Open Document