visithwa.blogg.se - Data mining and data warehousing lecture notes for mca pdf

Basic Concepts of Data mining & warehousing - Introduction, Meaning and characteristics of Data Warehousing, Online Transaction Processing (OLTP), Data Warehousing Models, Data warehouse architecture & Principles of Data Warehousing Data Mining.Data flows into a data warehouse from the various databases. Data warehouse improves system performance by separating analytics processing from transnational databases. The Data warehouse consolidates data from many sources while ensuring data quality, consistency, and accuracy. A data warehouse contains subject-oriented, integrated, time-variant, and non-volatile data. A data warehouse is designed to support the management decision-making process by providing a platform for data cleaning, data integration, and data consolidation. It is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed rather than transaction processing. Data warehousing is the process of compiling information into a data warehouse.

Overview of Scaling: Vertical And Horizontal ScalingĪ data warehouse is built to support management functions whereas data mining is used to extract useful information and patterns from data.Python | How and where to apply Feature Scaling?.

Frequent Item set in Data set (Association Rule Mining).

Implementing Apriori algorithm in Python.

Item-to-Item Based Collaborative Filtering.

Python | Implementation of Movie Recommender System.

Movie recommendation based on emotion in Python.

Difference between Data Warehousing and Data Mining.

ISRO CS Syllabus for Scientist/Engineer Exam.

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