The pros and cons of data mining
Data mining is an analytical tool, which when used efficiently and effectively, can equip companies with valuable information imperative for making knowledge-based business decisions using past data, companies can predict future trends and be proactive. Secondary data analysis, on the other hand, is the use of data that was collected by someone else for some other purpose in this case, the researcher poses questions that are addressed through the analysis of a data set that they were not involved in collecting. Mining pros and cons published by mac on 2007-01-31 source: manila times mining pros and cons big deal by dan mariano, manila times 31st january 2007. Pdf | on jul 1, 2014, kent bottles and others published understanding the pros and cons of big data analytics look at how mining big data can lead to medical . Gold mining stocks: pros and cons the question that just keeps coming back should i invest in (physical) gold or gold mining stocks which option is better.
Data mining process helps in analyzing and outlining different components of data pros and cons data mining: purpose, characteristics, benefits . Data mining can grasp the first public mention of the issue in a span of seconds this is where the inherent capabilities of a data mining prove to be effective cons. Pros and cons on 7 january 2009 the new york times carried a front page technology article on r where a sas representative is quoted: ``i think it addresses a niche market for high-end data analysts that want free, readily available code,'' said anne h milley, director of technology product marketing at sas.
For more about data mining data mining tools: advantages and disadvantages of implementation self-service analytics helps marketers overcome shortage of data pros. What are pros and cons of decision tree versus other classifier as knn,svm,nn i have to explain advantage and disadvantage of decision tree versus other classifier statistical data mining and . Data mining lowers the chances of immature business decisions by the constant flux of social data this also helps in near real-time issue solving and curb the odds of the brand image getting . Pros and cons: it is the best tool for beginners who want to do some simple analysis with the available set of data the weka explorer is the best option for the new beginners. Tagging data is a necessary first step to data mining because it enables analysts (or the software they use) to classify and organize the information so it can be searched and processed tagging .
Pros and cons of python and r for data science python and r are the two most widely used languages for data science: mining and visualization of complex data r is a powerful language python is versatile, and has a steep learning curve. Should you share your data with facebook see the pros and cons of data mining with facebook applications, social plugins and opengraph | data mining for journalists. Data mining pros and cons november 3, 2014 november 3, 2014 howard na in “the promise of digital humanities”, andrew smith writes about the rise of digital humanities as a field due to the increasing popularity of the topic of machine analysis of text. Advantages & disadvantages possible in accuracy of data email this blogthis share to twitter share to facebook share to pinterest labels: pros and cons. If you have bad data, not only have you wasted a lot of time in mining it, but you've also reached completely erroneous conclusions further, as i just alluded to, data mining is an involved and .
Data mining aggregates industry outlook find out some pros and cons of underground mining in the latest operations illustrated contributed september 8, 2015. Data mining is the process of extracting valid, previously unknown, comprehensible, and actionable information from large databases and using it to make . Advantages of data mining marketing / retail data mining helps marketing companies to build models based on historical data to coal mining has many very bad cons and drawbacks .
The pros and cons of data mining
The purpose of data mining is to find underlying structures in data that is the biggest pro really knowing of those hidden structures is useful at worst and the desirable outcome is that they are actionable. Are there any data mining algorithms comparisons comparisons in terms of performance, accuracy and the required amount of data for generating the robust model it seems that ensemble learning algo. A review on data mining: its challenges, issues and applications pros&cons introduction 1data mining is the process of discovering meaningful. The major drawback of industrial mining is the damage mining operations cause to the environment removal of large areas of topsoil can destroy habitats, and the chemicals used in mining operations can leach into the groundwater and pollute the area air pollution and radioactive pollution are other .
Advantages of data mining marking/retailing data mining can aid direct marketers by providing them with useful and accurate trends about their customers’ purchasing behavior. Data mining is a useful tool used by companies, organizations and the government to gather large data and use the information for marketing and strategic planning purposes also referred to as knowledge or data discovery, this analytical tool allows its users to gather information and come up with . Mass governnment surveillance pros and cons: is nsa internet spying and data mining justified new to netivist join with confidence, netivist is completely advertisement free. Data warehousing acts as store and the data here is held by a company that bears the facilities to backup data functionssome pros & cons are discussed here.
Hi there, you have asked a relevant question as every coin has two sides, data mining also has its pros and cons it is used for a lot of constructive purposes such as marketing/retail, finance/banking, manufacturing, etc.