A Brief Note On Web Mining And Web Materials Essay

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

For the last millennium, adventurous souls have been accessing new and unfamiliar frontiers in search of adventure and a taste of the exotic. The last decade ushered in with it an appeal to the more intrepid members of this small group of people: The Internet. Access to this particular medium has hit an all-time high in the 1990's, and every tekkie has his own celebration of self occupying space on it. However, not all of the sites on the Internet are shameless celebrations of self. Some of these pages can be found to have their roots in the archaic designs of the past; some are the logical progression for a technological innovation such as the internet.

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

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.

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

In the opening chapters of Web Analytics 2.0, Kaushik dives into the new practices and purposes of web analytics and the basics of clickstream success. Likewise, in Google Analytics the authors introduce the subject of Google Analytics as a free web analytic tool; they describe what it is, and how to use it. Web Analytics is a procedure in which web data is collected, measured, analyzed, and reported. It is used by organizations to perform quantitative and qualitative analysis on the website of itself and its’ competitors (Ledford, Tyler & Teixeira, 2010). This is done to develop the efforts and outcomes of the online experience that both current and prospective customers will have (Kaushik, 2012). Web analytics can be performed for

ast Distributed Mining (FDM) is reduce the number of messages to be passed at mining association rules. Mining encompasses various algorithms such as clustering, classification, association rule mining and sequence detection. The goal is to find all association rules with support at least s and confidence at least c, for some given minimal support size s and confidence level c, that hold in the unified database, while minimizing the information disclosed about the private databases held by those players. The information that we would like to protect in this context is not only

Web analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. It is used to enable a business to attract more visitors, retain or attract new customers for goods or services, or to increase the dollar volume each customer spends.

From the academic perspective, web analysis can be identified as a process of analyzing and measuring visitors’ behaviors based on the data from a website. Specifically, analysts would dig into the data and try to find out the meaning hidden behind those mathematical numbers and statistic and figure out the reason of every click that every visitor makes. Then analysts could come up with solutions to help companies improve web performance in order to attract more visitors and increase the dollar value that visitors spend on the site. In other words, web analysis can be also seen as an integration of diverse analysis activities with using different technics and tools from collecting data to transferring those data to visual outcomes and insights to do accurate business prediction and forecasting. In a word, web analysis could help business to figure out people’s real-time reaction to the message and information that business is trying to deliver on the web pages, and get a deep understanding about customers’ responses to recent marketing campaigns and activities on the web.

The method employs data mining techniques such as a frequent pattern and reference mining found from (Holland et al., 2003; KieBling & Kostler, 2002) and (Ivancy & Vajk, 2006). Frequent and reference mining is a heavily research area in data mining with wide range applications for discovering a pattern from Web log data to obtain information about navigational behavior of

In 1989, after the British scientist Tim Berners-Lee finished his project as a platform and named it “The World Wide Web.” He soon created the first website, www.info.cern.ch, which was generally consisted of a description of HTML, HTTP, and URI. The few user groups at that time had limited access to the website because the website owners’ primary intention was only to publish information for the audience to read. The arrival of Web 2.0 seems to be a game changer, participation and user interaction was encouraged, and the internet activities grew rapidly overnight. However, despite the fact that the Internet has existed for nearly three decades, the development of web analytics was rather faltering in the era of Web Analytics 1.0, where a

Web analytics is the study of how users interact with the websites by recording user related data, which helps in identifying different aspects of user’s behaviour. It is the measurement, collection, analysis and reporting of web data for the purpose of understanding and optimizing web usage. Web analytics can be used as a tool for business and market research and to assess and improve the effectiveness of a website.

With the development of software and network technologies, World Wide Web has infiltrated into aspects in people’s life. The understanding of the significance of information gathering deepens gradually, because the information contains online user behavior and potential value. As a result, network information mining has become a core subject and there is a growing need for a tool to help people gather online information, which is called web crawlers. Traditional web crawlers have limitations in mining information from the Deep Web that is hidden, which means the websites could be accessed when users login, forms are submitted. However, these shortcomings can be solved by deep web crawlers. This paper will initially explain the innovation of Deep Web crawlers, then states applications and evaluates of this innovation.

Nowadays, organizations and their websites are “like lips and teeth”. Organizations are hard to exist without a customized and optimized website. Website is a bridge linking between customers, viewers and organizations; it opens the door for outsiders to interact with insiders and vise versa. Over the past few years, data has been increasingly bigger and bigger on the world wide web. The number of websites is mushrooming all the time, surpasses 1 billion and continues to climb. Organizations which does not want to left behind in this ever-changing world of data must know how to manipulate it, how to analyze it to get significant insights from it. However, there is a paradox of data: “a lack of it means you cannot make complete decisions, but even with a lot of data, you still get an infinitesimally small number of insights”. This paradox is also true for the Web; there is a lot of data, but there are also critical barriers to making intelligent decisions. In order to break such barriers, people developed web analytics. Web analytics is a way to help us find out what is happening with our websites, blogs, or just social network pages by using the data collected from those online resources to achieve our goals. There are many web analytics tools on the market that can help us achieve this. In the dawn of web analytics, most businesses that focus on web analytics think of analytics simply as the art of collecting and analyzing clickstream data. It was a good start; however,

The web continues to increase with each passing day with a large number of people going online every day to perform a number of actions, such as purchasing goods and services online, finding the required information, etc. With the availability of free Wi-Fi and low-priced Internet connections, the consumption of websites, blogs, and web applications have increased a lot.