Essay on Data Mining - 1660 Words - StudyMode.

Data mining provides numerous benefits to businesses, government, society as well as individual persons. However, like many technologies, there are negative things that caused by data mining such as invasion of privacy right. This paper tries to explore the advantages as well as the disadvantages of data mining.

Overview Generally, 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.


Data Essay Mining

Data mining This is an accounting calculation, followed by the application of a threshold.However, predicting the profitability of a new customer would be data mining.Dividing the customers off company according to their profitability. Stop Using Plagiarized Content. Get a 100% Unique Essay on Data mining.

Data Essay Mining

Essays on Data Mining Tools Data Mining Techniques And Methods Tools data mining technique and methods used in developing the proposed study in Sales Forecasting of Starian Marketing Products and the statistical treatment of data in order to complete the study. Research Methods There are many methods that can be used in forecasting.

Data Essay Mining

Data mining is a discovery process. By that we mean a process that looks at organizing and recognizing patterns in large amounts of information. Data mining is multidisciplinary. Data integration is the combination of technical and business processes used to combine data from disparate sources into meaningful and valuable information.

 

Data Essay Mining

Data mining, or knowledge discovery, is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends, allowing businesses to make proactive, knowledge-driven decisions.

Data Essay Mining

Web data mining is used by the companies in order to collect data from various websites and assemble it in a way that analysis can be done or websites can be built which will gather and provide information from various other websites.

Data Essay Mining

The concept of big data is complex and has different connotations but I intend to clarify its functions. Big data refers to the concept of a collection of large and complex amounts of data that are found extremely difficult to notate or even process by most on-hand devices and database technologies.

Data Essay Mining

Essays Related to Mining. 1. Mining in the Philippines.. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data.. Many of the models and algorithms used in data mining are simplifications of the linear regression model.

 

Data Essay Mining

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Data Essay Mining

Data Mining is the process of analyzing data from a targeted source and turning it into useful information. (wisegeek.com, 2014) Some examples of data mining are Financial Data Analysis.

Data Essay Mining

Data mining is the process of extracting hidden knowledge from large volumes of raw data; it can also be defined as the process of extracting hidden predictive information from large databases (Chaterjee, n.d.). The data mining process will utilize the data in the enterprise data warehouse.

Data Essay Mining

To the extent a system of record in a data mining application is stable and scalable is the extent to which a data mining application will be able to deliver the critical relationship data, predictive analytics and accurately reflect the associations most critical to companies (Kuhn, Ducasse, Girba, 2007).

 


Essay on Data Mining - 1660 Words - StudyMode.

Data mining is a diverse set of techniques for discovering patterns or knowledge in data.This usually starts with a hypothesis that is given as input to data mining tools that use statistics to discover patterns in data.Such tools typically visualize results with an interface for exploring further. The following are illustrative examples of data mining.

Advantages and Disadvantages of Data Mining. Data mining is an important part of knowledge discovery process that we can analyze an enormous set of data and get hidden and useful knowledge. Data mining is applied effectively not only in the business environment but also in other fields such as weather forecast, medicine, transportation.

Introduction to Data Mining. Data mining is a process that is used by an organization to turn the raw data into useful data. Utilizing software to find patterns in large data sets, organizations can learn more about their customers to develop more efficient business strategies, boost sales, and reduce costs.

It can be considered as a combination of Business Intelligence and Data Mining. Data mining uses different kinds of tools and software on Big data to return specific results. It is mainly “looking for a needle in a haystack” In short, big data is the asset and data mining is the manager of that is used to provide beneficial results.

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Definition: In simple words, data mining is defined as a process used to extract usable data from a larger set of any raw data. It implies analysing data patterns in large batches of data using one or more software. Data mining has applications in multiple fields, like science and research.

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