User: ASHISH RAVINDRA SALVE

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Posts by ASHISH RAVINDRA SALVE

<prev • 51 results • page 1 of 6 • next >
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Answer: A: Briefly explain Regression based Classifiers
... - Regression analysis is a form of predictive modelling technique which investigates the relationship between a dependent (target) and independent variable (predictor). This technique is used for forecasting, time series modelling and finding the causal effect relationship between the variables. ...
written 6 weeks ago by ASHISH RAVINDRA SALVE10
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Answer: A: What is Outlier? Describe Methods that can be used for outlier analysis?
... **Def :** 1. While Outliers, are attributed to a rare chance and may not necessarily be fully explainable, Outliers in data can distort predictions and affect the accuracy, if you don’t detect and handle them. 2. The contentious decision to consider or discard an outlier needs to be taken at t ...
written 6 weeks ago by ASHISH RAVINDRA SALVE10
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Answer: A: Partition the given data into 4 bins using Equi-depth binning method and perform
... **divide the data into 4 equal-depth bins** bin 1:11,13,13,15,15,16 bin 2:9,20,20,20,21,21 bin3:22,23,24,30,40,45 bin4:,45,45,71,72,73,75 **smoothing by means** bin 1-13.83,13.83,13.83,13.83,13.83,13.83 bin 2-20.16,20.16,20.16,20.16,20.16 bin 3-30.67,30.67,30.67,30.67,30.67,30.67 bin 4-63.5 ...
written 3 months ago by ASHISH RAVINDRA SALVE10
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Answer: A: What is data preprocessing? Explain the different methods for the data cleansing
... In the data mining process the data need to be pre-processed first to make them quality data to acquire the quality analysis and information to make quality decision. Real world data are generally incomplete (lacking attribute values, lacking certain attributes of interest, or containing only aggr ...
written 3 months ago by ASHISH RAVINDRA SALVE10
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Answer: A: Explain box plot summary with example
... The box plot or box and whisker diagram is a standardized way of displaying the distribution of data based on the five number summary: minimum, first quartile, median, third quartile, and maximum. In the simplest box plot the central rectangle spans the first quartile to the third quartile (the inte ...
written 3 months ago by ASHISH RAVINDRA SALVE10
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Answer: A: Define data mining and Enumerate Five Example Application that can benefit by us
... **Data Mining:-** Data mining in the information system is like mining the earth. While mining finds out the hidden valuables in the earth, data mining not only finds out but also provides analysis of the hidden patterns of data in a data warehouse. Data mining aims at exploring knowledge from, dat ...
written 3 months ago by ASHISH RAVINDRA SALVE10
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Answer: A: Use the Apriori to algorithm to identify the frequent item-sets in the following
... Given:- | **TID** | **Items** | | --- | --- | | 01 | A, B, D, E, F | | 02 | B, C, E | | 03 | A, B, D, E | | 04 | A, B, D, E | | 05 | A, B, C, D, E, F | | 06 | B, C, D | | 07 | A, B, D, E | Solution:- Step 1: Generating Item set(support count = no of occurrences of item) | Item | Support | | --- ...
written 3 months ago by ASHISH RAVINDRA SALVE10
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Answer: A: For the same set of data points in question (Data: 11,13,13,15,15,16,19,20,20,20
... Given :- 11,13,13,15,15,16,19,20,20,20,21,21,22,23,24,30,40,45,45,45,71,72,73,75 ---------- A) (i) Mean:- Mean (x´) = (sum of all elements in data) / (no of elements in data) (x´) = ( 11+13+13+15+15+16+19+20+20+20+21+21+22+23+24+30+40+45+45+45+71+72+73+75) / (24) $= \frac{769}{24}$ ...
written 3 months ago by ASHISH RAVINDRA SALVE10
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Use the Apriori to algorithm to identify the frequent item-sets in the following database. Then extract the strong association rules from these sets.
... Min. Support = 30% Min. Confidence=75% |TID |Items| |-|-| |01|A, B, D, E, F| |02 |B, C, E| |03|A, B, D, E| |04|A, B, D, E| |05|A, B, C, D, E, F| |06|B, C, D| |07|A, B, D, E| ...
dmbi(26) written 4 months ago by ASHISH RAVINDRA SALVE10
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What is hierarchical clustering? Explain any two techniques for finding distance between the clusters in hierarchical clustering
... **Mumbai University > Information Technology > Sem6 > Data Mining and Business Intelligence** **Marks:** 10M ...
dmbi(26) written 4 months ago by ASHISH RAVINDRA SALVE10 • updated 4 months ago by Abhishek Tiwari ♦♦ 50

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Popular Question 5 days ago, created a question with more than 1,000 views. For Briefly Explain Bagging and Boosting of Classifiers
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Popular Question 11 months ago, created a question with more than 1,000 views. For Clearly explain the working of the DB_SCAN algorithm using appropriate diagrams.
Popular Question 11 months ago, created a question with more than 1,000 views. For Explain BIRCH algorithm with example
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