The Problems Encountered By Web Mining Essay

The World Wide Web consists of a collection of electronic documents in the form of web pages. These web pages have unique addresses called URL’s that show where to locate the web page on the World Wide Web. This essay will examine various definitions of URL’s and cookies, and why a web analyst should care about their importance.

(King-Lup Liu, 2001) Given countless motors on the Internet, it is troublesome for a man to figure out which web search tools could serve his/her data needs. A typical arrangement is to build a metasearch motor on top of the web indexes. After accepting a client question, the metasearch motor sends it to those fundamental web indexes which are liable to give back the craved archives for the inquiry. The determination calculation utilized by a metasearch motor to figure out if a web index ought to be sent the inquiry ordinarily settles on the choice in light of the web search tool agent, which contains trademark data about the database of a web search tool. Be that as it may, a hidden web index may not will to give the required data to the metasearch motor. This paper demonstrates that the required data can be evaluated from an uncooperative web crawler with great exactness. Two bits of data which license precise web crawler determination are the quantity of reports filed by the web index and the greatest weight of every term. In this paper, we display systems for the estimation of these two bits of data.

Cappel, J. J., & Huang, Z. (2007, Fall). A Usability Analysis of Company Websites. Journal of Computer Information Systems, 2(1), 117-123.

There are over 1 billion active websites today and its growth is exponential. Not all of them are optimized and effectively used by the users. Every owner of the website should continuously assess and improve the effectiveness of their website, if they want to address the above question. How they can do that? That is where Web Analytics comes into picture. The process of tracking, collecting, measuring, reporting and analyzing the data collected from the web for understanding and optimizing the web usage is known as Web Analytics. We can track every click of every person on the website. It provides information about number of visitors to a website and number of page views. In other words, Web Analytics is tracking the visitor behavior of

However, targeted advertising has raised new questions on privacy since it must collect user’s information in order to publish advertisement. When a consumer visits a website, every page they view, the time spent on each page, the new pages they click on and how they interact with the server, allow browsers to collect that data. Analyzing from the technology used in behavioral targeting advertising, web browsing history will be tracked and sent to web server. In order to best select advertisements to display, data mining and machine learning theory will be implemented for analyzing users’ behavior (Korolova 2010).

Web analytics is nothing but collecting of web data, measuring the date, analysing the data and create the report of web usage. Web analytics used to measure the web traffic and also used as tool for business and market research for improve the effectiveness of web site. Web analytics can also be used to measure

Today with the ever growing use of computers in the world, information is constantly moving from one place to another. What is this information, who is it about, and who is using it will be discussed in the following paper. The collecting, interpreting, and determination of use of this information has come to be known as data mining. This term known as data mining has been around only for a short time but the actual collection of data has been happening for centuries. The following paragraph will give a brief description of this history of data collection.

Web Analytics is a relatively new phenomenon in the business world, and while it is not a mandatory requirement for organizations to compete in today’s marketplace it is becoming increasingly important as organizations strive to optimize their web presence. So what is web analytics and how can it help companies achieve a better web presence? Web Analytics is defined by the Web Analytics Association as, “The practice of measuring, collecting, analyzing and reporting on Internet data for the purposes of understanding how a web site is used by its audience and how to optimize its usage.” (ClarkU, p. 1) To simplify this definition we can say that web analytics is the process of determining how your website most effectively turns site visitors into customers.

Avinash Kaushik (2007) states that, “ Websites are massively complex, and although tools can capture all the data, they don’t actually tell you what to do” (P.46). I believe that all the data collection should lead to its analysis, and the analysis should produce recommendations. In order to produce the best recommendations, each company needs skilled people with the right analytical intelligence to interpret the data available and produce information that will bring changes to the company. These expected changes can either be translated into revenue, or increase the company’s competitive capacity in the web-based or E-commerce business.

web mining is a method of structure information from unstructured or semi-structured web data source. Corporations are using web mining as gears to collect data from the different website. The data is gathered and examined to design a website, which it can offer information from variety of websites. The business can raise the sales because the consumers have an aptitude to trace web users browsing manners to the mouse clicks. It allows a business to personalize facilities for the client.

Web Analytics is a revolutionary way to support decisions in Web business using tools to collect and analyze data. The expression “ Collect and analyze data” it self is imprecise for a strong definition of Web Analytics, because of its paradoxically interpretation. According to Avinash Kaushik (Sybex, 2007) Web analyzes based only on data can’t motivate complete decisions, and even when there is lots of dates it necessary the small number of insights from the infinitesimally quantity of data. Therefore, I think that the best definition of Web Analytics is presented by Avinash Kaushik on his book Web Analytics 2.0 book, the art of online accountability & Science of customer centricity. For Avinash Kaushik Web Analytics is the web site and the competition around it qualitative and quantitative data analysis, in order to create

The definition of web mining from the book is the process to found useful information from web data, which are expressed in the form of textual, linkage, or usage information. These data that web mining collects can be beneficial for enterprise because information or data that web mining

Web analytics is characterized as a sway 's investigation of a site on its clients. E-trade organizations and other site distributers regularly utilize web investigation programming is to quantify such solid subtle elements as what number of individuals went by their website, what number of those guests were novel guests, how they went to the webpage, what decisive words they sought with on the webpage 's internet searcher, to what extent they remained focused given page or on the whole website and what joins they tapped on and when they exited the webpage.

Web analytics is how companies and firms are using technologies to track the behavior of visitors to websites designed to show information, sell products and services, and present a superior brand that meets their targeted customers’ needs. Companies have been unhappy with their marketing functions for almost as long as they have been in existence, because their ability to track the success of their marketing efforts has always been insufficient, or even better, non-existent. The emergence of the World Wide Web and the Internet and everything that is now done online digitally has changed all that, because digital tracking was now possible.

Data mining is a process of extracting the information from the large set of databases. As the web contain huge amount of information finding the exact information of which user required is difficult. Web personalization is a process of analyzing the user?s navigational behavior based on web sequence access performed by the user based on which recommendations are done. Web usage mining plays an important role in recommendation of pages to user based on user interest. Different kinds of technics and algorithms are used for web personalization and recommendation of pages. The technics of data mining such as collaborative filtering, association rule mining, ontology, support vector machine, sequence access patterns and web log mining are compared to know which technic is more efficient for recommendation of web pages based on web personalization. A survey conducted to find which technic easily recommends the web pages to user such that it consumes less time for searching the information. The paper proposes the technic that provides efficient results for recommendation of pages to user based on user interest comparing parameters like precision and recall and matching algorithm. Web log based recommendations are more efficient when compared to other technics as it consumes less time for searching the relevant information. The survey gives the result in the form of the graph for different parameters.