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1. Data mining: Data mining (рус. добыча данных, интеллектуальный анализ данных, глубинный анализ данных) — собирательное название, используемое для обозначения совокупности методов обнаружения в данных ранее неизвестных, нетривиальных, практически полезных и доступных интерпретации знаний, необходимых для принятия решений в различных сферах человеческой деятельнос. [100%] 2024-02-08
2. Data mining: Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall ... (Process of extracting and discovering patterns in large data sets) [100%] 2023-12-31 [Data mining] [Formal sciences]...
3. Data mining: Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall ... (Process of extracting and discovering patterns in large data sets) [100%] 2024-02-16 [Data mining] [Formal sciences]...
4. Data Applied: Data Applied was a software vendor headquartered in Washington. Founded by a group of former Microsoft employees, the company specialized in data mining, data visualization, and business intelligence environments. (Company) [96%] 2024-01-08 [Applied data mining] [Companies (Computing)]...
5. Data Applied: Data Applied fue un proveedor de software con sede en Washington. Fundada por un grupo de ex empleados de Microsoft,​ la empresa se especializó en minería de datos, visualización de datos y entornos de inteligencia empresarial. [96%] 2024-06-21
6. Educational data mining: Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems). At a high level, the field seeks to ... [81%] 2024-01-01 [Applied data mining] [Educational psychology]...
7. Manifold Data Mining: Manifold Data Mining is a Canadian company specializing in consumer data products, analytics, and predictive modeling. As a data and analytical service provider in Canada, they have been providing businesses, charities, and governmental organizations with comprehensive data products since being ... (Company) [81%] 2023-12-29 [Business intelligence] [Marketing analytics]...
8. Educational data mining: Educational Data Mining is a research area. Let's look at a few definitions: “Educational Data Mining (EDM) is an emerging multidisciplinary research area, in which methods and techniques for exploring data originating from various educational information systems have been ... [81%] 2024-01-26 [analytics]
9. Oracle Data Mining: Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics. [81%] 2024-01-26 [Oracle software] [Data mining and machine learning software]...
10. Data stream mining: Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read ... [81%] 2024-01-26 [Data mining]
11. Relational data mining: Relational data mining is the data mining technique for relational databases. Unlike traditional data mining algorithms, which look for patterns in a single table (propositional patterns), relational data mining algorithms look for patterns among multiple tables (relational patterns). [81%] 2024-01-26 [Machine learning] [Data processing]...
12. Educational data mining: Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems). At a high level, the field seeks to ... [81%] 2024-01-26 [Applied data mining] [Educational psychology]...
13. Evolutionary data mining: Evolutionary data mining, or genetic data mining is an umbrella term for any data mining using evolutionary algorithms. While it can be used for mining data from DNA sequences, it is not limited to biological contexts and can be used ... [81%] 2023-12-29 [Data mining]
14. Data stream mining: Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read ... [81%] 2023-12-30 [Data mining]
15. Oracle Data Mining: Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics. (Software) [81%] 2023-12-31 [Oracle software] [Data mining and machine learning software]...
16. Relational data mining: Relational data mining is the data mining technique for relational databases. Unlike traditional data mining algorithms, which look for patterns in a single table (propositional patterns), relational data mining algorithms look for patterns among multiple tables (relational patterns). [81%] 2023-12-31 [Machine learning] [Data processing]...
17. Educational data mining: Educational Data Mining is a research area. Let's look at a few definitions: “Educational Data Mining (EDM) is an emerging multidisciplinary research area, in which methods and techniques for exploring data originating from various educational information systems have been ... [81%] 2024-01-21 [analytics]
18. Relational data mining: Relational data mining is the data mining technique for relational databases. Unlike traditional data mining algorithms, which look for patterns in a single table (propositional patterns), relational data mining algorithms look for patterns among multiple tables (relational patterns). [81%] 2023-12-31 [Machine learning] [Data processing]...
19. Java Data Mining: Java Data Mining (JDM) is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects and processes. (Java API) [81%] 2023-12-29 [Java specification requests] [Applied data mining]...
20. Oracle Data Mining: Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics. [81%] 2023-12-30 [Oracle software] [Data mining and machine learning software]...