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Old January 10th, 2017, 09:44 AM
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Join Date: May 2011
Default Re: IIT Madras Data Mining

Ok, here I am providing you the lecture of Data Mining and Knowledge Discovery of CSE of Indian Institute of Technology, Madras.

IIT Madras CSE Data Mining and Knowledge Discovery notes-

We are going to look at very interesting aspect of or interesting application in which database technologies are used namely the field of data mining and knowledge discovery.

In fact in recent years data mining has become an extremely or fields that eliciting an extremely large amount of interest not just from researchers but also from commercial domain. I mean the commercial utility of data mining is probably of more interest than or at least as much interest as the research interest that lies in data mining.

And in addition to commercial interest, there is also number of public debates that data mining has started which range from topics like legalities and ethics and the rights to certain information and the rights to non-disclosure of information or the rights to privacy and so on and so forth. So data mining actually is in some sense has opened a pan door as box in and only time will tell whether the technology has given, has been on an overall sense completely beneficial or destructive in nature.

But then there is nothing beneficial or destructive about technology per say it’s how we use it, how we use technology which is what matters. So any way in this session, we shall be concentrating mostly on the technical aspects of data mining obviously.

And we shall look at the basic algorithms and concepts that make up data mining and what exactly is meant by data mining and how does it differ from the traditional operations of databases or traditional way in which databases are used. So the overview of this or this set of two sessions would be as follows. Let us first motivate the need for data mining that is why data mining and what are some of the basic underlying concepts in data mining, what are the building blocks of data mining concepts. Then we look at data mining algorithms and several classes of this data mining algorithms.

We will start with tabular mining as in mining relational tables and we will look at classification and clustering approaches and we will also look at mining of other kinds of data like sequence data mining or mining of streaming data and so on. And data warehousing concepts would be covered as a different session all together. First of all, why data mining from a managerial perspective. Let’s first look at what a data mining has for the commercial world first before we go in to looking at the technical aspects of data mining.


IIT Madras CSE Data Mining and Knowledge Discovery notes






Here I am attaching a pdf file of complete lecture

Contact-

Indian Institute of Technology Madras
Beside Adyar Cancer Institute, Opposite to C.L.R.I, Sardar Patel Road, Adyar, Chennai, Tamil Nadu 600036
Attached Files Available for Download
File Type: pdf IIT Madras CSE Data Mining and Knowledge Discovery notes.pdf (345.4 KB, 14 views)
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