Data mining & Data Warehousing Pro on Windows Pc
Developed By: Engineering Apps
License: Free
Rating: 5,0/5 - 1 votes
Last Updated: April 18, 2024
App Details
| Version |
1 |
| Size |
1 MB |
| Release Date |
January 21, 19 |
| Category |
Education Apps |
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What's New:
Check out New Learning Videos! We have Added • Chapter and topics made offline access • New Intuitive Knowledge Test & Score Section • Search Option with... [see more]
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Description from Developer:
The app is a complete handbook of Data mining & Data Warehousing which cover important topics, notes, materials, news & blogs on the course. Download the App as a reference... [read more]
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About this app
On this page you can download Data mining & Data Warehousing Pro and install on Windows PC. Data mining & Data Warehousing Pro is free Education app, developed by Engineering Apps. Latest version of Data mining & Data Warehousing Pro is 1, was released on 2019-01-21 (updated on 2024-04-18). Estimated number of the downloads is more than 5. Overall rating of Data mining & Data Warehousing Pro is 5,0. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 1 users, 1 users had rated it 5*, 1 users had rated it 1*.
How to install Data mining & Data Warehousing Pro on Windows?
Instruction on how to install Data mining & Data Warehousing Pro on Windows 10 Windows 11 PC & Laptop
In this post, I am going to show you how to install Data mining & Data Warehousing Pro on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...
Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.
[Note] You can also download older versions of this app on bottom of this page.
Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.
If this doesn't work on your PC, or you cannot install, comment here and we will help you!
Step By Step Guide To Install Data mining & Data Warehousing Pro using BlueStacks
- Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
- Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
- Once installed, click "Data mining & Data Warehousing Pro" icon on the home screen to start using, it'll work like a charm :D
[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more
[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.
How to install Data mining & Data Warehousing Pro on Windows PC using NoxPlayer
- Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
- Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
- The installation process will take place quickly. After successful installation, you can find "Data mining & Data Warehousing Pro" on the home screen of NoxPlayer, just click to open it.
Discussion
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The app is a complete 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 Architecture
3. Data-Warehouses (DW)
4. Relational Databases
5. Transactional Databases
6. Advanced Data and Information Systems and Advanced Applications
7. Data Mining Functionalities
8. Classification of Data Mining Systems
9. Data Mining Task Primitives
10. Integration of a Data Mining System with a DataWarehouse System
11. Major Issues in Data Mining
12. Performance issues in Data Mining
13. Introduction to Data Preprocess
14. Descriptive Data Summarization
15. Measuring the Dispersion of Data
16. Graphic Displays of Basic Descriptive Data Summaries
17. Data Cleaning
18. Noisy Data
19. Data Cleaning Process
20. Data Integration and Transformation
21. Data Transformation
22. Data Reduction
23. Dimensionality Reduction
24. Numerosity Reduction
25. Clustering and Sampling
26. Data Discretization and Concept Hierarchy Generation
27. Concept Hierarchy Generation for Categorical Data
28. Introduction to Data warehouses
29. Differences between Operational Database Systems and Data Warehouses
30. A Multidimensional Data Model
31. A Multidimensional Data Model
32. Data Warehouse Architecture
33. The Process of Data Warehouse Design
34. A Three-Tier Data Warehouse Architecture
35. Data Warehouse Back-End Tools and Utilities
36. Types of OLAP Servers: ROLAP versus MOLAP versus HOLAP
37. Data Warehouse Implementation
38. Data Warehousing to Data Mining
39. On-Line Analytical Processing to On-Line Analytical Mining
40. Methods for Data Cube Computation
41. Multiway Array Aggregation for Full Cube Computation
42. Star-Cubing: Computing Iceberg Cubes Using a Dynamic Star-tree Structure
43. Pre-computing Shell Fragments for Fast High-Dimensional OLAP
44. Driven Exploration of Data Cubes
45. Complex Aggregation at Multiple Granularity: Multi feature Cubes
46. Attribute-Oriented Induction
47. Attribute-Oriented Induction for Data Characterization
48. Efficient Implementation of Attribute-Oriented Induction
49. Mining Class Comparisons: Discriminating between Different Classes
50. Frequent patterns
51. The Apriori Algorithm
52. Efficient and scalable frequently itemset mining methods
Each topic is complete with diagrams, equations and other forms of graphical representations for better learning and quick understanding.
Data mining & Data Warehousing is part of computer science, software engineering, AI, Machine learning & Statistical Computing education course and information technology & business management degree programs at various universities.
Check out New Learning Videos! We have Added
• Chapter and topics made offline access
• New Intuitive Knowledge Test & Score Section
• Search Option with autoprediction to get straight the your topic
• Fast Response Time of Application
• Provide Storage Access for Offline Mode
