File Name: data warehousing and data mining tutorials .zip
The data mining tutorial provides basic and advanced concepts of data mining. Our data mining tutorial is designed for learners and experts.
- Data Warehousing vs Data Mining
- Data Mining Tutorial: What is | Process | Techniques & Examples
- Data Mining Tutorial
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Data Mining is the process of extracting useful information from large database. Useful for beginners, this tutorial discusses the basic and advance concepts and techniques of data mining with examples. Freshers, BE, BTech, MCA, college students will find it useful to develop notes, for exam preparation, solve lab questions, assignments and viva questions. Who is this Data Mining Tutorial designed for? This tutorial is especially useful for beginners wanting to learn data mining for their studies and exams.
Data Warehousing vs Data Mining
A data warehouse is built to support management functions whereas data mining is used to extract useful information and patterns from data. Data warehousing is the process of compiling information into a data warehouse. Data Warehousing : 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. A data warehouse is designed to support management decision-making process by providing a platform for data cleaning, data integration and data consolidation. A data warehouse contains subject-oriented, integrated, time-variant and non-volatile data. Data warehouse consolidates data from many sources while ensuring data quality, consistency and accuracy. Data warehouse improves system performance by separating analytics processing from transnational databases.
Data Mining Tutorial: What is | Process | Techniques & Examples
Sign Out. Sign In. Go to main content Toggle navigation. Sign Out Sign In Search. Database Data Warehousing Guide. Provides conceptual, reference, and implementation material for using Oracle Database in data warehousing.
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in this tutorial, please notify us at [email protected] From Data Warehousing (OLAP) to Data Mining (OLAM) ······································································.
Data Mining Tutorial
Data mining is a very important process where potentially useful and previously unknown information is extracted from large volumes of data. There are a number of components involved in the data mining process. These components constitute the architecture of a data mining system. The major components of any data mining system are data source, data warehouse server, data mining engine, pattern evaluation module, graphical user interface and knowledge base.
Data Mining is a process of finding potentially useful patterns from huge data sets. It is a multi-disciplinary skill that uses machine learning , statistics, and AI to extract information to evaluate future events probability.
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