Data mining is the process of extracting meaningful and valuable insights from large datasets. With the increasing use of mobile devices, it’s no surprise that there are now data mining apps available on Android platforms. These apps help users to extract, clean, and analyze data from various sources. But with so many options available, it’s difficult to decide which app to choose. In this article, we will discuss the best data miner app for Android and its features.
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10 Best Data Miner App Android
Below is a compiled list of 10 Best Data Miner App Android for your consideration, which have undergone rigorous testing and evaluation by our team of experts.
1. Data Mining
Version 1.2 of Datamining is a native Android app created by HexTex for the purpose of creating tables and statistics. A small, intelligent SQLite application can be used to facilitate the creation and linking of databases.
2. Data mining & Data Warehousing
The app provides a complete handbook of Data Mining and Data Warehousing covering important topics, notes, materials, news, and blogs on the course. The App can be downloaded as a reference material and digital book for computer science, AI, data science, software engineering programs, and business management degree courses. The app is a must-have for all computer science and engineering students and professionals. The topics are listed in 5 chapters with 200 detailed notes, diagrams, equations, formulas, and course material. Quick revision and reference to important topics are provided through detailed flashcard notes. The app can be used for tracking learning, setting reminders, editing study material, adding favorite topics, and sharing topics on social media. Topics covered in the app include Introduction to Data Mining, Data Architecture, Data Warehouses, Relational Databases, and Transactional Databases. Each topic is complete with diagrams, equations, and other forms of graphical representations for better learning and quick understanding.
3. Data Mining Calculator
A program has been used to solve data mining algorithms. The current version has working algorithms including linear regression, K-means, Apriori algorithms with 3 levels, and decision tree with level 1.
4. Data Mining Master
Access will be given to the repository of questions and answers in this app. Two segments, MCQ and MEMORIZE, are available for practice. All correct answers can be chosen in MCQ, while in MEMORIZE, the answer must be memorized without any options. Status can be checked in both sections, which are divided into Primary, Learning, and Master.
5. Data Mining Tutorial
The basic-to-advanced concepts related to data mining can be understood with the help of an App that has been prepared for computer science graduates. The App includes an overview, tasks, issues, evaluation, terminologies, knowledge discovery, systems, query language, classification and prediction, decision tree induction, Bayesian classification, rules based classification, classification methods, cluster analysis, mining text data, mining WWW, applications and trends, and themes. It also offers 18 lessons and more video tutorials, and can be accessed at any time and from anywhere, even without internet. The app has been optimized for most Android supported devices with enhanced graphics and design.
6. Data Mining Tutorial for CS –
An app for Data Mining is available to be downloaded and used for learning purposes. The app provides a tutorial on all the necessary concepts of data warehousing, including data warehouse overview, concepts, architecture, and many others. The tutorial adopts a step-by-step approach to explain these concepts. The app also offers various categories and topics related to Data Warehousing, such as Data Warehouse Testing, Data Warehouse Security, and Data Warehouse Tuning. Additionally, the app includes resources for learning Joomla 3x and offers a guide for Data Mining and Data Warehousing. The app is highly recommended for those interested in learning about Data Mining and Data Warehousing.
7. Data Warehouse & Data Mining e
Courses, exercises, and detailed correction on Data Warehouse and Data Mining can be found in this application. Data Warehouse is a type of database that contains a large amount of data for decision-making in an organization. Data Mining is a process of analyzing a large amount of data to find logical relationships and summary data. The data used in Data Mining is obtained for a purpose other than mining. When dealing with a large amount of data, new problems arise, such as identifying distinct points in the data, analyzing the data in a reasonable time, and deciding if an apparent relationship reflects a fact in the nature of the data. The goal of data mining is to reduce or compress large amounts of data to express simple data without generalization.
Multi-Token Mining has been introduced to the world’s data mining app. Tokens can be staked and monitored 24/7, while data and LPWAN gateways can be mined and managed at the touch of a button. Users can join the Supernode Network and connect with a global IoT alliance. The app allows for easy, cheap, and fast mining of a variety of IoT Data and cryptocurrencies, including Bitcoin, MXC, and DataHighway token. Tokens can be staked using the power of the global Supernode network, while the app allows for easy data tracking and multi-token mining.
9. DataLearner – Data Mining Soft
DataLearner is a tool for data mining and knowledge discovery from compatible ARFF and CSV-formatted training datasets. The app is fully self-contained and builds models directly on your phone or tablet without the need for external storage or network connectivity. The training datasets must be in either CSV or Weka ARFF format, with the class attribute initially set as the last column. DataLearner features classification, association and clustering algorithms from open-source Weka, as well as new algorithms developed by the Data Science Research Unit at Charles Sturt University. The app provides 42 machine-learning/data-mining algorithms, including RandomForest, C4.5 (J48) and NaiveBayes. DataLearner collects no information and requires access to your device storage simply to load datasets and build machine-learning models.
10. JAE Data Mining
An underground mining equipment data solution is provided, which includes a proactive, end-to-end monitoring and reporting service to improve machine visualisation and utilisation. Push notifications are employed to provide critical and preventative alerts. Key data analytics are also incorporated into the solution.