Four stages of data mining :
Data Sources
Data Exploration
Modeling
Deploying Models

Four stages of data mining :
Data Sources
Data Exploration
Modeling
Deploying Models

How data mining is useful for Analytics Websites ? There are different analytics websites which will compare the prices of different things from other website. The Analytics and data mining plays big role in that websites. If you check the website named Trivago which will gives t...

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How data mining is useful for mobile service providers ? The Mobile service providers uses huge data mining to collect customer data.Mobile phone and utilities companies use Data Mining and Business Intelligence to predict ‘churn’, the terms they use for when a customer leave...

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What is difference between data warehouse and data mining? Data Warehousing: It is a process where the data is extracted from various sources. Further, the data is cleansed and stored. Data Mining: It is a process where it explores the data using the queries.Basically, the querie...

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What Are Cubes? A data cube stores data in a summarized version which helps in a faster analysis of data. The data is stored in such a way that it allows reporting easily.

What do you mean by Cluster Analysis? Cluster analysis is an important human activity . Cluster analysis has been widely used in numerous application , including market research, pattern recognition, data analysis and image processing.

What do you mean by Analytical characterization? Data mining has proved to be an effective means of integrating the analyzing the diverse collection of variables. If the mined concept descriptions involve many attribute, an analytical characterization should be performed.

What is Data Aggregation and Generalization? Aggregation is the technique wherein, as the name suggest, summary or aggregation operation are applied to the data for example, we can construct a data cube for analysis of the data at multiple granularity. Generalizing the data basic...

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What is Data Transformation ? It consist of following tasks : Generalization - concept hierarchy climbing, Attribute/feature construction - New attributes are constructed and added to the tuple, Normalization - scaled to fall within a small, specified range

Explain Data reduction ? It consists of following three tasks - Dimensionality reduction - Attribute subset selection, Numerosity reduction - Tuple subset selection, Discretization - Reduce the cardinality of active domain.

What is Data cleaning ? Causes of Dirty Data : Missing values, Noisy data (Human/Machine Errors), Inconsistent data

What do you mean by preprocessing of data in data mining ? A Before data is mined it has to be preprocessed. It consists of following three stages :
Data cleaning - Real world data is dirty so need to be cleaned
Data reduction- Remove data not useful for mining
Data tran...

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What is difference between OLAP and data mining ? 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 rel...

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Different types of Storage models in OLAP?
1. MOLAP – Multidimensional Online Analytical Processing
2. ROLAP – Relational online Analytical processing
3. HOLAP – Hybrid online Analytical Processing
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What is Data Mining? Data Mining is process of discovering the patterns in very large data sets involving the different methods like Machine Learning,statistics, different database systems. #datamining

What are applications areas of data mining?
Weather forecasting.
E-commerce.
Self-driving cars.
Hazards of new medicine.
Space research.
Fraud detection.
Stock trade analysis.
Business forecasting.
Social networks.
Customers likelihood.

What are techniques used for data mining?
Artificial neural networks
Decision trees
Genetic algorithms
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What does subject-oriented data warehouse signify?
Basically, we use it to shows that the data warehouse stores the information around a particular subject. Such as product, customer, sales, etc.
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What is Fact Table?
It contains the measurement of business processes. Also, foreign keys for the dimension tables.
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