Regression Regression is the important topic of the Data Mining & Business Intelligence. DMBI is the Important subject of the Computer. Data Mining Function – Regressions Regressions is a data mining function that predicts a number. Age, weight, distance, temperature, income, or sales could all predicted using regressions techniques. For example, a regression model could […]

# Business Analysis

## Neural Networks – Strengths and Weakness of Neural Network

Neural Networks Neural Networks is the important topic of the Data Mining & Business Intelligence. DMBI is the Important subject of the Computer. The Neural Network is a set of connected INPUT/OUTPUT UNITS, where each connection has a WEIGHT associated with it. Moreover, Neural Network learning also called CONNECTIONIST learning due to the connections between […]

## Rule Based Classification – Data Mining and Business Analysis

Rule-Based Classification Rule Based Classification is the important topic of the Data Mining & Business Intelligence. DMBI is the Important subject of the Computer. Rule based classifier makes use of a set of IF-THEN rules for classification. We can express a rule in the following from IF condition THEN conclusion Let us consider a rule […]

## Difference Between Classification and Prediction – Business Analysis

Difference Between Classification & Prediction Classification & Prediction is the important topic of the Data Mining & Business Intelligence. DMBI is the Important subject of the Computer. Forms of Data Analysis There are two forms of data analysis that can be used for extracting models describing important classes or to predict future data trends. These […]

## Concept of Market Basket Analysis – Data Mining and Business Analysis

Concept of Market Basket Analysis Market Basket Analysis is the important topic of the Data Mining & Business Intelligence. DMBI is the Important subject of the Computer. Market Basket Analysis Market Basket Analysis is a modeling technique based on the theory that if you buy a certain group of items, you are more (or less) […]

## Apriori Algorithm with an Example – Apriori Algorithm | Data Mining

Apriori Algorithm Apriori Algorithm is the important topic of the Data Mining & Business Intelligence. DMBI is the Important subject of the Computer. Purpose behind Apriori Algorithm The Apriori Algorithm is an influential algorithm for mining frequent itemsets for boolean association rules. Key Concepts of Apriori Algorithm Frequent Itemsets: The sets of an item which has […]

## Data Transformation Strategies – Data Mining and Business Analysis

Data Transformation Strategies in Data Mining Data Transformation Strategies is the important topic of the Data Mining & Business Intelligence. DMBI is the Important subject of the Computer. Transformation of Data In data transformation, the data are transformed or consolidation to forms appropriate for mining. Strategies for data transformation include the following: Smoothing, which works […]

## Data Cleaning Process – Missing Values and Noisy Data | Business Analysis

Data Cleaning Process Missing values and Noisy data Data Cleaning Process is the important topic of the Data Mining & Business Intelligence. DMBI is the Important subject of the Computer. Data Cleaning Process Real-world data tend to be incomplete, noisy, and inconsistent. Data cleaning (or data cleansing) routines attempt to fill in missing values, smooth […]

## Standard Deviation – Mean, Median, Mode and Variance | Data Mining

Standard Deviation Standard Deviation is the important topic of the Data Mining & Business Intelligence. DMBI is the Important subject of the Computer. Mean: The sample mean is the average and is computed as the sum of all the observed outcomes from the sample divided by the total number of events. We use x as […]

## Types of Data on Which Mining can be Performed | Business Analysis

Types of Data on Which Mining can be Performed Types of Data is the important topic of the Data Mining & Business Intelligence. DMBI is the Important subject of the Computer. Data Mining Data mining can be applied to any kind of data as long as the data are meaningful for a target application. The […]