{"id":123295,"date":"2023-04-26T21:12:18","date_gmt":"2023-04-26T15:42:18","guid":{"rendered":"https:\/\/www.vskills.in\/certification\/tutorial\/?page_id=123295"},"modified":"2024-04-12T14:16:52","modified_gmt":"2024-04-12T08:46:52","slug":"data-mining-and-warehousing-glossary","status":"publish","type":"page","link":"https:\/\/www.vskills.in\/certification\/tutorial\/data-mining-and-warehousing-glossary\/","title":{"rendered":"Data Mining and Warehousing Glossary"},"content":{"rendered":"\n

Important definitions and terminologies used in Data Mining and Warehousing<\/p>\n\n\n

<\/a><\/p>\n

A<\/a>B<\/a>C<\/a>D<\/a>E<\/a>F<\/a>G<\/a>H<\/a>I<\/a>J<\/a>K<\/a>L<\/a>M<\/a>N<\/a>O<\/a>P<\/a>Q<\/a>R<\/a>S<\/a>T<\/a>U<\/a>V<\/a>W<\/a>X<\/a>Y<\/a>Z<\/a><\/p>\n

A<\/a><\/strong><\/h3>\n

Activity Plan in Data Mining and Warehousing<\/p>\n

Analyzing Probability & Risk in Data Mining and Warehousing<\/p>\n

Apriori algorithm in Data Mining and Warehousing<\/p>\n

Association rule mining in Data Mining and Warehousing<\/p>\n

Association Rules in Data Mining and Warehousing<\/p>\n

Go to Top<\/a><\/p>\n

<\/p>

B<\/a><\/strong><\/h3>\n

Best Split in Data Mining and Warehousing<\/p>\n

Big data in Data Mining and Warehousing<\/p>\n

Business intelligence in Data Mining and Warehousing<\/p>\n

Go to Top<\/a><\/p>\n

<\/p>

C<\/a><\/strong><\/h3>\n

C4.5 in Data Mining and Warehousing<\/p>\n

Cart in Data Mining and Warehousing<\/p>\n

Chaid in Data Mining and Warehousing<\/p>\n

Classification in Data Mining and Warehousing<\/p>\n

Classification Rules in Data Mining and Warehousing<\/p>\n

Clustering in Data Mining and Warehousing<\/p>\n

Clustering in Data Mining and Warehousing<\/p>\n

Communications Infrastructure in Data Mining and Warehousing<\/p>\n

Critical Path Analysis in Data Mining and Warehousing<\/p>\n

Critical Path Method in Data Mining and Warehousing<\/p>\n

Crossover in Data Mining and Warehousing<\/p>\n

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<\/p>

D<\/a><\/strong><\/h3>\n

Data cleaning in Data Mining and Warehousing<\/p>\n

Data content in Data Mining and Warehousing<\/p>\n

Data Cube in Data Mining and Warehousing<\/p>\n

Data Distribution in Data Mining and Warehousing<\/p>\n

Data Mining in Data Mining and Warehousing<\/p>\n

Data Modeling in Data Mining and Warehousing<\/p>\n

Data Warehouse in Data Mining and Warehousing<\/p>\n

Data Warehouse Design in Data Mining and Warehousing<\/p>\n

Data Warehousing in Data Mining and Warehousing<\/p>\n

Data Warehousing Architectures in Data Mining and Warehousing<\/p>\n

DBMS in Data Mining and Warehousing<\/p>\n

Decision Trees in Data Mining and Warehousing<\/p>\n

Decision Trees and Rules in Data Mining and Warehousing<\/p>\n

De-normalization of Data in Data Mining and Warehousing<\/p>\n

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E<\/a><\/strong><\/h3>\n

Encoding in Data Mining and Warehousing<\/p>\n

Ensemble learning in Data Mining and Warehousing<\/p>\n

ETL (Extract, Transform, Load) in Data Mining and Warehousing<\/p>\n

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<\/p>

F<\/a><\/strong><\/h3>\n

Feature selection in Data Mining and Warehousing<\/p>\n

Frequent itemset mining in Data Mining and Warehousing<\/p>\n

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<\/p>

G<\/a><\/strong><\/h3>\n

Genetic Algorithm in Data Mining and Warehousing<\/p>\n

Genetic algorithms in Data Mining and Warehousing<\/p>\n

Gradient descent in Data Mining and Warehousing<\/p>\n

Guillotine Cut in Data Mining and Warehousing<\/p>\n

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<\/p>

H<\/a><\/strong><\/h3>\n

Hadoop in Data Mining and Warehousing<\/p>\n

Hierarchical clustering in Data Mining and Warehousing<\/p>\n

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I<\/a><\/strong><\/h3>\n

ID3 in Data Mining and Warehousing<\/p>\n

Indexing in Data Mining and Warehousing<\/p>\n

Inductive Learning in Data Mining and Warehousing<\/p>\n

Informational Systems in Data Mining and Warehousing<\/p>\n

In-memory computing in Data Mining and Warehousing<\/p>\n

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<\/p>

J<\/a><\/strong><\/h3>\n

Java Database Connectivity (JDBC) in Data Mining and Warehousing<\/p>\n

Join in Data Mining and Warehousing<\/p>\n

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<\/p>

K<\/a><\/strong><\/h3>\n

KDD in Data Mining and Warehousing<\/p>\n

K-means clustering in Data Mining and Warehousing<\/p>\n

Knowledge discovery in Data Mining and Warehousing<\/p>\n

Kohonen feature Maps in Data Mining and Warehousing<\/p>\n

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<\/p>

L<\/a><\/strong><\/h3>\n

Lattice of Cubes in Data Mining and Warehousing<\/p>\n

Linear regression in Data Mining and Warehousing<\/p>\n

Logistic regression in Data Mining and Warehousing<\/p>\n

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<\/p>

M<\/a><\/strong><\/h3>\n

Machine Learning in Data Mining and Warehousing<\/p>\n

Machine Learning in Data Mining and Warehousing<\/p>\n

Managed Query Environment (MQE) in Data Mining and Warehousing<\/p>\n

Market basket analysis in Data Mining and Warehousing<\/p>\n

Metadata in Data Mining and Warehousing<\/p>\n

MOLAP in Data Mining and Warehousing<\/p>\n

Multidimensional scaling in Data Mining and Warehousing<\/p>\n

Multi-Dimensional Views in Data Mining and Warehousing<\/p>\n

Mutation in Data Mining and Warehousing<\/p>\n

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<\/p>

N<\/a><\/strong><\/h3>\n

Nearest-Neighbor Prediction Technique in Data Mining and Warehousing<\/p>\n

Negative Associations in Data Mining and Warehousing<\/p>\n

Neural Networks in Data Mining and Warehousing<\/p>\n

Nonlinear regression in Data Mining and Warehousing<\/p>\n

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<\/p>

O<\/a><\/strong><\/h3>\n

OLAP in Data Mining and Warehousing<\/p>\n

OLAP in Data Mining and Warehousing<\/p>\n

OLAP (Online Analytical Processing) in Data Mining and Warehousing<\/p>\n

OLTP in Data Mining and Warehousing<\/p>\n

On Line Analytical Processing in Data Mining and Warehousing<\/p>\n

ONLINE TRANSACTION PROCESSING in Data Mining and Warehousing<\/p>\n

Operational Data in Data Mining and Warehousing<\/p>\n

Operational Systems in Data Mining and Warehousing<\/p>\n

Outlier detection in Data Mining and Warehousing<\/p>\n

Over Fit in Data Mining and Warehousing<\/p>\n

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<\/p>

P<\/a><\/strong><\/h3>\n

Partitioning in Data Mining and Warehousing<\/p>\n

Prediction Methods in Data Mining and Warehousing<\/p>\n

Predictive modeling in Data Mining and Warehousing<\/p>\n

Project Estimation in Data Mining and Warehousing<\/p>\n

Project Management in Data Mining and Warehousing<\/p>\n

Project Planning in Data Mining and Warehousing<\/p>\n

Project Scheduling in Data Mining and Warehousing<\/p>\n

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<\/p>

Q<\/a><\/strong><\/h3>\n

Quality assurance in Data Mining and Warehousing<\/p>\n

Query in Data Mining and Warehousing<\/p>\n

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<\/p>

R<\/a><\/strong><\/h3>\n

Random forest in Data Mining and Warehousing<\/p>\n

Regression analysis in Data Mining and Warehousing<\/p>\n

Relationships & Patterns in Data Mining and Warehousing<\/p>\n

Return on Investment in Data Mining and Warehousing<\/p>\n

Risk Analysis in Data Mining and Warehousing<\/p>\n

Risk Management in Data Mining and Warehousing<\/p>\n

ROI in Data Mining and Warehousing<\/p>\n

ROLAP in Data Mining and Warehousing<\/p>\n

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<\/p>

S<\/a><\/strong><\/h3>\n

Slice and Dice Operations in Data Mining and Warehousing<\/p>\n

Software Project Planning in Data Mining and Warehousing<\/p>\n

SQL (Structured Query Language) in Data Mining and Warehousing<\/p>\n

Statistical Analysis in Data Mining and Warehousing<\/p>\n

Statistics in Data Mining and Warehousing<\/p>\n

Support vector machines in Data Mining and Warehousing<\/p>\n

Go to Top<\/a><\/p>\n

<\/p>

T<\/a><\/strong><\/h3>\n

Text mining in Data Mining and Warehousing<\/p>\n

The Generic Algorithm in Data Mining and Warehousing<\/p>\n

The Scope Statement in Data Mining and Warehousing<\/p>\n

Time Intelligence in Data Mining and Warehousing<\/p>\n

Time series analysis in Data Mining and Warehousing<\/p>\n

Go to Top<\/a><\/p>\n

<\/p>

U<\/a><\/strong><\/h3>\n

Unsupervised learning in Data Mining and Warehousing<\/p>\n

User-defined functions (UDFs) in Data Mining and Warehousing<\/p>\n

Go to Top<\/a><\/p>\n

<\/p>

V<\/a><\/strong><\/h3>\n

Variable selection in Data Mining and Warehousing<\/p>\n

Visualization in Data Mining and Warehousing<\/p>\n

Go to Top<\/a><\/p>\n

<\/p>

W<\/a><\/strong><\/h3>\n

Warehouse management system (WMS) in Data Mining and Warehousing<\/p>\n

Web mining in Data Mining and Warehousing<\/p>\n

Work Breakdow n Structure (WBS) in Data Mining and Warehousing<\/p>\n

Go to Top<\/a><\/p>\n

<\/p>

X<\/a><\/strong><\/h3>\n

XGBoost in Data Mining and Warehousing<\/p>\n

XML (Extensible Markup Language) in Data Mining and Warehousing<\/p>\n

Go to Top<\/a><\/p>\n

<\/p>

Y<\/a><\/strong><\/h3>\n

Yield in Data Mining and Warehousing<\/p>\n

Yield management in Data Mining and Warehousing<\/p>\n

Go to Top<\/a><\/p>\n

<\/p>

Z<\/a><\/strong><\/h3>\n

Zero suppression in Data Mining and Warehousing<\/p>\n

Zero variance features. in Data Mining and Warehousing<\/p>","protected":false},"excerpt":{"rendered":"

Important definitions and terminologies used in Data Mining and Warehousing ABCDEFGHIJKLMNOPQRSTUVWXYZ A Activity Plan in Data Mining and Warehousing Analyzing Probability & Risk in Data Mining and Warehousing Apriori algorithm in Data Mining and Warehousing Association rule mining in Data Mining and Warehousing Association Rules in Data Mining and Warehousing Go to Top B Best…<\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[303],"tags":[],"class_list":["post-123295","page","type-page","status-publish","hentry","category-data-mining-and-warehousing-professional"],"acf":[],"yoast_head":"\nData Mining and Warehousing Glossary - Tutorial<\/title>\n<meta name=\"description\" content=\"What is Data Mining and Warehousing? 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