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Data Mining <h2> BsCs 3rd Semester DBMS</h2> <h2> <span style="font-size: x-large;"> Data Mining Questions and their Answers</span></h2> <div style="margin-left: 40px;"> <span style="font-size: 14px;"><b><span style="color: green;">Q # 1 What is Data mining ?</span></b><br /> A Data mining is knowledge discovery in databases. It is extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) information or patterns from data in large databases.</span><br /> <span style="font-size: 14px;">_ </span></div> <div style="margin-left: 40px;"> <span style="font-size: 14px;"><b><span style="color: green;">Q# 2 What is difference between OLAP and data mining ?</span></b><br /> A OLAP - (On-line Analytical Processing )provides you with a very good view of what is happening, but can not predict what will happen in the future or why it is happening where as data mining is group of techniques that find relationships that have not previously been discovered.</span><br /> <span style="font-size: 14px;">_ </span></div> <div style="margin-left: 40px;"> <span style="font-size: 14px;"><b><span style="color: green;">Q# 3 What are the functionalities of Data Mining?</span></b><br /> •<b>Knowledge Prediction </b></span><span style="font-size: 14px;"> Data mining uses known data for prediction/forecasting. It is also known as predictive data.</span></div> <div style="margin-left: 40px;"> <span style="font-size: 14px;">•<b>Knowledge Description - </b></span><span style="font-size: 14px;">Concrete information gleaned from data is known as data description. It is also known as descriptive data. </span><br /> <span style="font-size: 14px;">_ </span></div> <div style="margin-left: 40px;"> </div> <div> <div style="margin-left: 40px;"> <b><span style="color: green;"><span style="font-size: 14px;">Q# 4 What are some of the tasks of data mining?</span></span></b></div> <div style="margin-left: 40px;"> <span style="font-size: 14px;">A Following activities are carried out during data mining</span></div> <div> <ul> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Classification [Predictive]</span></li> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Clustering [Descriptive]</span></li> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Association Rule Discovery [Descriptive]</span></li> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Sequential Pattern Discovery [Descriptive]</span></li> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Regression [Predictive]</span></li> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Deviation Detection [Predictive]</span></li> </ul> <div style="margin-left: 40px;"> <span style="font-size: 14px;"><b><span style="color: green;">Q# 5 What do you mean by preprocessing of data in data mining ? </span></b><br /> A Before data is mined it has to be preprocessed. It consists of following three stages </span></div> <ul style="margin-left: 40px;"> <li> <b>Data cleaning </b>- Real world data is dirty so need to be cleaned<br /> </li> <li> <b>Data reduction</b>- Remove data not useful for mining<br /> </li> <li> <b>Data transformation</b> - Syntactic transformation<br /> </li> </ul> <div style="margin-left: 40px;"> <span style="font-size: 14px;"><b><span style="color: green;">Q# 6 Describe causes and tasks of data cleaing?</span></b><br /> A <b>Causes of Dirty Data</b></span></div> <ul> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Missing values</span></li> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Noisy data (Human/Machine Errors)</span></li> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Inconsistent data</span></li> </ul> <span style="font-size: 14px;"><b> Data cleaning tasks</b></span></div> <ul> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Handling missing values</span></li> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Identify outliers and smooth out noisy data</span></li> <li style="margin-left: 40px;"> <span style="font-size: 14px;">Correct inconsistent data</span></li> </ul> <br /> <br /> <b><span style="color: green;"><span style="font-size: 14px;"> Q# 7 Jot down the sources of data mining?</span></span></b><br /> <br /> <b><span style="color: green;"><span style="font-size: 14px;"> </span></span></b> <span style="font-size: 14px;">1_ Data Base</span><br /> <span style="font-size: 14px;"> 2_Text Documents</span><br /> <span style="font-size: 14px;"> 3_Pictures(images)</span><br /> <span style="font-size: 14px;"> 4_Web. </span> <br /> <b><span style="color: green;"><span style="font-size: 14px;"> Q# 8 How Data Mining helps in prediction ?</span></span></b><br /> <b> </b><span style="font-size: 14px;">D</span><span style="font-size: 14px;">ata Mining visits and analyzes the previous recorded data on the basis of which it predicts about future.</span> <br /> <span style="color: #38761d;"><span style="color: #38761d;"><span style="color: #38761d;"><b><span style="color: #6aa84f;"><span style="font-size: 14px;">Q Discuss about Web Mining? </span></span></b></span></span></span></div> <div> <span style="color: #6aa84f;"><span style="font-size: 14px;"> </span></span><br /> <span class="_Tgc"><b> Web mining</b> is the integration of information gathered by traditional data <b>mining</b> methodologies and techniques with information gathered over the World Wide <b>Web.</b></span></div> <div> <span class="_Tgc"><b>Web mining is used to understand customer behavior, evaluate the effectiveness.</b></span></div> <div> <span style="color: #38761d;"><span style="color: #38761d;"><b><span class="_Tgc"><br /></span></b></span></span></div> <div> <span style="color: #38761d;"><span style="color: #38761d;"><span style="color: #38761d;"><span style="background-color: white;"><b><span style="color: #6aa84f;"><span style="font-size: 14px;">Q Discuss about Data Mining Functionalities? </span></span></b></span></span></span></span></div> <div> </div> <div> <span style="font-size: x-small;">.</span><span style="color: #6aa84f;"><span style="font-size: 14px;"><span style="font-size: small;"> </span></span></span><span style="font-size: small;">Data mining functionalities are used to specify the</span><span style="color: #6aa84f;"><span style="font-size: 14px;"></span></span><span style="font-size: small;"> kind of patterns to be found in data mining tasks. </span></div> <div> <span style="font-size: small;"> <b>Data mining tasks:</b></span></div> <div> <span style="font-size: small;"><b> </b></span><span style="font-size: small;"><u>Descriptive data mining</u> : characterize the general </span><span style="font-size: small;">properties of the data in the database.</span><br /> <div data-canvas-width="464.45862845411773" style="font-family: sans-serif; left: 149.341px; top: 363.88px; transform: scaleX(0.984335);"> <span style="font-size: small;"><u> Predictive data mining</u>: perform inference on the current data in order to make predictions.</span></div> <div class="separator" style="clear: both; text-align: center;"> <a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgoPdDfGBDi38vBwhoBASZmglbwjSCj0vr7fXZN9lk6hqw6xzAwe61KW8RVqK7WROGI1hPU7yZEKDUdrqFCtw7u6Bm0p3Vrru4Qc72H-crLzK5PdG8iuFrslquw1SszMUqSsmcVy_yaLTc/s1600/L_Logo_Png_10.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh5QxjnI9gC1zl2HbrHrk9rn3TsbrHzBVdINEI3cbt5979IcEgg2bmGn9UF6sSg1182Rb6kl67AMcDzvQ7lhi49Mrs3APpbKoV-4x0W7Ryib8JKeoyzo4MIHkDXvqKHuVFNvgH6RNv0KOA/s1600/data_mining11.png" imageanchor="1"><img border="0" height="220" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh5QxjnI9gC1zl2HbrHrk9rn3TsbrHzBVdINEI3cbt5979IcEgg2bmGn9UF6sSg1182Rb6kl67AMcDzvQ7lhi49Mrs3APpbKoV-4x0W7Ryib8JKeoyzo4MIHkDXvqKHuVFNvgH6RNv0KOA/s320/data_mining11.png" width="320" /></a></div> <div data-canvas-width="291.6939979567059" style="font-family: sans-serif; left: 441.294px; top: 263.198px; transform: scaleX(0.974804);"> </div> <div data-canvas-width="291.6939979567059" style="font-family: sans-serif; left: 441.294px; top: 263.198px; transform: scaleX(0.974804);"> <span style="font-size: small;"><b> <span style="color: #6aa84f;"></span></b></span> </div> </div> Data Mining BsCs 3rd Semester DBMS Data Mining Questions and their Answers Q # 1 What is Data ... 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Data Mining
