Used Data mining & Data Warehousing for Android?


Data mining & Data Warehousing Analysis

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Data Mining & Data Warehousing is a free educational application designed for Android users. This program focuses on imparting essential knowledge about the principles and practices of data mining and data warehousing. It offers a structured approach to learning, featuring various modules that cover fundamental concepts, methodologies, and applications within the field of data management. Users can explore topics such as data integration, data analysis, and data storage techniques, making it suitable for students and professionals alike.

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The application provides interactive content, including quizzes and case studies, to reinforce learning outcomes. Its user-friendly interface allows for easy navigation through different sections, ensuring that users can access information efficiently. Additionally, the app is designed to be accessible on various Android devices, catering to a wide audience interested in enhancing their understanding of data-related topics. Overall, it serves as a valuable resource for anyone looking to deepen their knowledge in data mining and warehousing.


Used Data mining & Data Warehousing for Android?


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Full Specifications

GENERAL
Release
Latest update
Version
5.3
OPERATING SYSTEMS
Platform
Android
Additional Requirements
None
POPULARITY
Total Downloads
10
Downloads Last Week
0

Report Software

Last Updated


Developer’s Description

Learn more about data mining and data warehousing.
The app is a complete free handbook of Data mining & Data Warehousing which cover important topics, notes, materials, news & blogs on the course. Download the App as a reference material & digital book for computer science, AI, data science & software engineering programs & business management degree courses. This useful App lists 200 topics with detailed notes, diagrams, equations, formulas & course material, the topics are listed in 5 chapters. The app is must have for all the computer science & engineering students & professionals. The app provides quick revision and reference to the important topics like a detailed flash card notes, it makes it easy & useful for the student or a professional to cover the course syllabus quickly before an exams or interview for jobs. Track your learning, set reminders, edit the study material, add favorite topics, share the topics on social media. You can also blog about engineering technology, innovation, engineering startups, college research work, institute updates, Informative links on course materials & education programs from your smartphone or tablet or at http://www.engineeringapps.net/. Use this useful engineering app as your tutorial, digital book, a reference guide for syllabus, course material, project work, sharing your views on the blog. Some of the topics Covered in the app are:1. Introduction to Data mining 2. Data Architecture3. Data-Warehouses (DW)4. Relational Databases5. Transactional Databases6. Advanced Data and Information Systems and Advanced Applications7. Data Mining Functionalities8. Classification of Data Mining Systems9. Data Mining Task Primitives10. Integration of a Data Mining System with a DataWarehouse System11. Major Issues in Data Mining12. Performance issues in Data Mining13. Introduction to Data Preprocess14. Descriptive Data Summarization15. Measuring the Dispersion of Data16. Graphic Displays of Basic Descriptive Data Summaries17. Data Cleaning18. Noisy Data19. Data Cleaning Process20. Data Integration and Transformation21. Data Transformation22. Data Reduction23. Dimensionality Reduction24. Numerosity Reduction25. Clustering and Sampling26. Data Discretization and Concept Hierarchy Generation27. Concept Hierarchy Generation for Categorical Data28. Introduction to Data warehouses29. Differences between Operational Database Systems and Data Warehouses30. A Multidimensional Data Model31. A Multidimensional Data Model

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AI Assisted Content Disclosure

Content created and reviewed by Softonic with information obtained from Two Minds Technology, using AI.

CNET's editorial team was not involved in the creation of this content. Opinions, analysis and reviews were not provided by CNET.