Dr. Panjabrao deshmukh

polytechnic Amt.

Seminar on Data Mining

Presented by :1.Kartik N. Kalpande.2. Shubham G. Sable.

Guided By:Prof. R.H. Rathod.

Introduction. Continuous Innovation. Data Information and knowledge. What can data mining do. Hoe does data mining work. Advantages and disadvantages. Conclusion. References.

What I am Going to Discuss:-

Introduction:- 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 is the process of finding correlations or patterns among dozens of fields in large relational databases.

Continuous Innovation:- Although data mining is a relatively new

term, the technology is not. Companies have used powerful computers to sift through volumes of supermarket scanner data and analyze market research reports for years.

Data, Information and Knowledge :- Data:- Data are any facts, numbers, or text that can

be processed by a computer. Today, organizations are accumulating vast and growing amounts of data in different formats and different databases.

Information:- The patterns, associations, or relationships

among all this data can provide information.

Continue… Knowledge Information can be converted into

knowledge about historical patterns and future trends. For example, summary information on retail supermarket sales can be analyzed in light of promotional efforts to provide knowledge of consumer buying behavior.

Five major elements of Data mining :- Extract, transform, and load transaction

data onto the data warehouse system. Store and manage the data in a

multidimensional database system. Provide data access to business analysts and

information technology professionals. Analyze the data by application software. Present the data in a useful format, such as

a graph or table.

What can data mining do? Data mining is primarily used today by

companies with a strong consumer focus - retail, financial, communication, and marketing organizations.

It enables these companies to determine relationships among "internal" factors such as price, product positioning, or staff skills, and "external" factors such as economic indicators, competition, and customer demographics.

How does data mining work.? While large-scale information technology has

been evolving separate transaction and analytical systems, data mining provides the link between the two. Data mining software analyzes relationships and patterns in stored transaction data based on open-ended user queries.

Types of relationships of Data Mining.1. Class 2. Clusters 3. Associations 4. Sequential Patterns

Advantages and Disadvantages of Data Mining

Advantages:-1. Marketing / Retail2. Finance / Banking3. Manufacturing4. Governments

Disadvantages:-1. Privacy Issues2. Security issues

Conclusion:- Data mining brings a lot of benefits to

businesses, society, governments as well as individual. However privacy, security and misuse of information are the big problems if they are not addressed and resolved properly.

References:- www.google.com www.ask.com www.seminar.com www.wikipedia.com