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Data mining involves using techniques to find underlying structure and relationships in large amounts of data. The term data mining originated from database marketing industry. Data mining products tend to fall into five categories: neural networks, knowledge discovery, data visualization, fuzzy query analysis and case-based reasoning. Some uses of data mining include cross-selling (analyzing patterns of products frequently purchased together), response modeling (predicting which customers are likely to purchase based on purchase history), and segmentation and profiling (understanding customer segments by profiling archetypal customers). Common applications include mass mailing/telemarketing, medical diagnosis, credit card fraud and computer intrusion detection.

Web mining involves the analysis of Web server logs of a Web site. The Web server logs contain the entire collection of requests made by a potential or current customer through their browser and responses by the Web server. The information in the logs varies depending on the log file format and option selected on the Web server. Analysis of the Web logs can be insightful for managing the corporate e- business on a short-term basis; the real value of this knowledge is obtained through integration of this resource with other customer touchpoint information. Common applications include Web site usability, path to purchase, dynamic content marketing, user profiling through behavior analysis and product affinities.

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Web mining refers to the process of discovering and extracting information from web data, such as web pages, links, and logs. Data mining, on the other hand, is the process of extracting patterns and insights from structured data like databases, while also incorporating unstructured data such as text and images. In essence, web mining focuses specifically on data from the web, while data mining encompasses a broader range of data sources.

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Q: What is difference between web mining and data mining?
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Continue Learning about Information Science

What is the difference between a web-based system and a data based system?

A web-based system refers to software applications that are accessed through a web browser, allowing users to interact with the system over the internet. On the other hand, a data-based system refers to a system that primarily focuses on the storage, organization, and manipulation of data. While a web-based system may utilize a database to store data, the emphasis is on providing a user interface accessible through a web browser.


What data type stores Web addresses in access?

The data type that stores web addresses (URLs) in Access is typically a "Hyperlink" data type. This data type allows users to store and access web addresses as clickable links within the database.


What IS following selections is an example of information-gathering technologies?

Examples of information-gathering technologies include web tracking tools like cookies, data mining software, and social media analytics platforms. These tools help collect and analyze data from various sources to provide valuable insights for businesses and organizations.


What is scraping data?

Scraping data refers to the process of extracting information from websites. This can be done using automated software tools known as web scrapers, which collect data from web pages and store it for analysis or other purposes. However, it is important to respect website's terms of service and ensure that data is collected ethically and legally.


When might you want to use a web query to capture data?

You might want to use a web query to capture data when you need to extract information from a website that is regularly updated, such as stock prices, weather updates, or news headlines. Web queries can automate the process of retrieving this data, saving time and ensuring that you have the most recent information at your fingertips.

Related questions

What is web mining?

Web mining - is the application of data mining techniques to discover patterns from the Web. According to analysis targets, web mining can be divided into three different types, which areWeb usage mining, Web content mining and Web structure mining.


What are the hot topics in data mining?

semantic web


What is meant by the term web mining?

The term "web mining" means using data mining techniques to discover web patterns. You can learn more about web mining at the Wikipedia website. Once on the website, type "Web mining" into the search field at the top of the page and press enter to bring up the information.


What are the objective of data mining?

to find the unseen pattern in large volume of historical data that helps to mange an organization efficiently. -Sequence or path analysis -Classification -Clustering -Forecasting


What is the difference between web mining and data mining?

The difference the relationship between two distinct unrelated objects spinning in a non-orbital concentric movement whereby the mirrored cosmic granulation of the overlapping universe as once described in the latest book written by Steven Hawkings which remarked how prevalent society has become over the natural ability of space and time continuim to associate with random thinking that the world is flat!


What is the difference between web forms and web services?

A web form such as the Astoria web data service that you are able to create using the Astoria CTP, it is the specialized form of a WCF. where as web services is fully aware of the nature of the data that is exposing. Being data aware the service able to provide additional opperations that would not be available through a general web service.


What is the difference between the client and the server?

a server runs the website though the internet and sends the data to any computer who asks for the web page meanwhile a client is a computer asking for the web page


What is data mining and how is it used in identity theft?

It extracts information quickly from the web, like cc#s, dobs, phone#s, ss#s, etc, before you have a chance to delete them with your safety button. Also known as web mining.


What do you think of data mining?

That depends on what you intend to do with it. Let's face it - EVERYONE on the web data mines as this is the definition of 'location information through search.'If that data-mining crosses the line into taking content or other intellectual property and claiming it as ones' own, I say this is wrong and unethical. Further and as the latest round of intellectual, web based property arrests go (mega-upload and others) this never ends up well for any involved.Another practice of data mining is 'email scraping' which is actually against SPAM Laws.


what is Data Mining?

AnswerWhat is data mining?Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databasesData Mining is a field of study within Computer Science. It is part of the process of Knowledge Discovery from Databases (KDD). The aim of data mining is to find novel, interesting and useful patterns from data using algorithms (methods of finding such information) that will do it in a way that is more computationally efficient than previous methods.Knowledge Discovery and Data Mining has increased in popularity because of the large amount of stored data that came about as computer storage became cheaper. From this, there was a need to understand it, and techniques to convert data into information are being continually developed and improved.Data mining techniques usually fall into two categories, predictive or descriptive. Predictive data mining uses historical data to infer something about future events. Descriptive data mining aims to find patterns in the data that provide some information about what the data contains.How can data mining affect you?Data mining can be used for several purposes by different people and organisations. The most notable users of data mining come from commercial, scientific or government backgrounds.Commercial entities may use the information gathered through data mining techniques to help discover something about their consumers, to help market their products better. Data mining is also used by search engines, such as Google to mine web pages for information relating to your specific search query.Scientific communities may benefit from data mining by using it to find anomalies, clusters or co-locations to name a few. For example, they could discover a relationship between people getting cancer and the location of a chemical plant.The government could use data mining techniques to uncover patterns in their data. For example, data mining is used to find unusual patterns in the stock marketin order to detect insider trading. Data mining is also used to detect scams sent by email. It could also be used to find unusual behaviour to prevent a terrorist attack.There are many more applications of data mining, which are continually being expanded. The main requirement for performing data mining is suitable data.


What difference between web 1 and web 2?

It is the same thing


What is the difference between a web search engine and a web index?

A Web search engine is designed to search for information on the Internet. Search engine index is collection of data in a search engine (database) to facilitate fast and accurate information finding.