Title, Introduction to Data Mining with Case Studies. Author, G. K. Gupta. Publisher, Prentice-Hall Of India Pv, ISBN, , Introduction to Data Mining with Case Studies [G.K. Gupta] on * FREE* shipping on qualifying offers. Introduction to Data Mining with Case Studies [G. K. Gupta] on * FREE* shipping on qualifying offers. The field of data mining provides techniques .

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Need to serve customers better by learning from past interactions. Medical data, doctors, hospitals. Clustering does not rely on class-labeled data objects.

Get to Know Us. Some techniques do not require training minin. Gigabytes of data each week. How many books could one store in one Terabyte of memory? Learn more about Amazon Prime. Prentice-Hall of India Pvt.

Introduction to Data Mining with Case Studies

There’s a problem loading this menu right now. My presentations Profile Feedback Log out. With new focus on data mining, new algorithms are being developed. Amazon Renewed Refurbished products with a warranty. These are well structured repetitive operations easily automated.

The book ensures that the students learn the major data mining techniques even if they do not have a strong mathematical background. Studying the case studies provides the reader with a greater insight into the data mining techniques. Amazon Second Chance Pass it on, trade it in, give it a second life. Why OLTP cannot be used for sales g.o.gupta and analysis? The classical example is the one where a store discovered that people buying nappies tend also to buy beer.


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Introduction to Data Mining with Case Studies – G. K. Gupta – Google Books

Classification may be used for predicting the class label of data objects. Data Mining Methodology 1. Learn more about Amazon Prime. Search Engines and Query Mining. There is considerable hype about data mining at the present time and Gartner Group has listed data mining as one of the top ten technologies to watch.

AmazonGlobal Ship Orders Internationally. We cannot look at all of them and so need some way to separate uninteresting results from the interesting ones. Point of g.k.upta terminals and bar codes on many products, railway bookings, educational institutions, huge number of mobile phones, electronic commerce, all generate data.

This information is used to predict the chances of a customer paying back a loan. Consider the telecommunications environment in Australia.

There was a problem filtering reviews right now. Please try again later. When integrating data, one often encounters problems like identifying data, dealing with missing data, data conflicts and ambiguity. Credit and debit cards. Gupta No preview available – The detailed data view is the operational view while the management view is decision-support view. Most DM software includes data visualisation modules which should be introductiob in communicating data mining results to the managers.

Association Rule Mining Part 2 under construction! Explore the Home Gift Guide. Account Options Sign in. A data warehouse can be of real wjth in data mining since data cleaning and other problems of collecting data would have already been overcome. Note that the quantities of items bought is ignored. Learn more about Amazon Giveaway. Data mining can provide intelligence using that memory.



How do I measure if the results are interesting? He is also the author of the book Database Management Systems. Amazon Drive Cloud storage from Intriduction. In such an environment, businesses want to find which customers are good, why customers switch and what makes customers loyal.

Introduction to Data Mining with Case Studies – G.K. Gupta – Google Books

Dramatic reduction in the price of computer systems, as noted earlier, introduuction making it possible to carry out data mining without investing huge amounts of resources in hardware and software. Set up a giveaway. Amazon Drive Cloud storage from Amazon. Amazon Renewed Refurbished products with a warranty. Growing airline traffic with more than ten airlines.

Government is now collecting a lot of information. For example, concept hierarchies or relationships between data may be useful in data mining. Share your thoughts with other customers.